Azar Tahghighi | Molecular Docking & Molecular Dynamic | Research Excellence Award

Published on by Network Science

Research Excellence Award

Azar Tahghighi
Pastur Institute of Iran
Azar Tahghighi
Affiliation Pastur Institute of Iran
Country Iran
Scopus ID 24923832500
Documents 47
Citations 728
h-index 15
Subject Area Molecular Docking & Molecular Dynamic
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0002-1221-4490

Azar Tahghighi is a researcher affiliated with the Pastur Institute of Iran whose scholarly activities span molecular docking, molecular dynamics simulations, medicinal chemistry, antimicrobial discovery, and computational drug design. Her body of work integrates in silico methodologies with experimental validation to investigate biologically active compounds, receptor-ligand interactions, and novel therapeutic candidates. Through contributions to peer-reviewed scientific literature, she has participated in advancing contemporary approaches for drug discovery and biological target identification.[1]

Abstract

This article summarizes the academic achievements and research contributions of Azar Tahghighi in the fields of medicinal chemistry and computational molecular sciences. Her research portfolio emphasizes molecular docking, molecular dynamics, pharmacophore modeling, antimicrobial agent discovery, and receptor-targeted therapeutic development. By combining computational prediction with laboratory validation, her work contributes to the identification of biologically relevant compounds and supports contemporary drug discovery strategies.[2]

Keywords

Molecular Docking, Molecular Dynamics, Medicinal Chemistry, Drug Discovery, TLR7 Ligands, Pharmacophore Modeling, Antibacterial Agents, Antibiofilm Activity, Computational Biology, Virtual Screening.

Introduction

Modern pharmaceutical research increasingly relies on computational techniques to accelerate therapeutic discovery and optimize candidate selection. Azar Tahghighi’s research aligns with this interdisciplinary trend by integrating computational chemistry, structural biology, and medicinal chemistry approaches. Her studies frequently investigate molecular interactions and biological pathways relevant to infectious diseases, immune modulation, and antimicrobial resistance.[3]

Research Profile

According to available scholarly metrics, the researcher has produced 47 indexed documents, accumulated 728 citations, and achieved an h-index of 15. Her scientific activities encompass molecular docking, molecular dynamic simulations, synthetic medicinal chemistry, receptor-targeted drug design, and antimicrobial evaluation. These contributions reflect sustained engagement with computational and experimental biomedical research.[1]

Research Contributions

  • Development of novel triazoloquinoxaline derivatives targeting Toll-like receptor 7.
  • Application of pharmacophore-based virtual screening and molecular docking techniques.
  • Investigation of antibacterial and antibiofilm compounds against resistant pathogens.
  • Research on probiotic-derived antibacterial extracts and microbial control strategies.
  • Evaluation of green chemistry approaches for antifungal drug synthesis.

Publications

  • Structure-guided design of triazolo[4,3-a] quinoxaline-4-ol derivatives as novel TLR7 ligands (2026).
  • Identification of new triazoloquinoxaline amine derivatives against Toll-like receptor 7 (2025).
  • Antibacterial and Antibiofilm Efficacy against MRSA (2025).
  • Click chemistry for green synthesis of antifungal medications (2024).
  • Anti-bacterial and anti-biofilm activity of probiotic Lactobacillus extracts (2024).

Research Impact

The research output demonstrates the practical application of computational methodologies for identifying promising therapeutic candidates. Publications addressing immune receptor modulation, antimicrobial resistance, and medicinal chemistry contribute to scientific understanding in areas of ongoing biomedical importance. Citation performance further indicates that her work has received recognition within relevant academic communities.[4]

Award Suitability

Azar Tahghighi’s multidisciplinary research profile demonstrates sustained scholarly productivity, measurable citation impact, and active engagement in computational and experimental biomedical sciences. Her contributions to molecular modeling, medicinal chemistry, and antimicrobial research align with the principles of research excellence recognized by international scientific award programs. The combination of publication quality, innovation, and translational relevance supports consideration for academic recognition.[5]

Conclusion

Azar Tahghighi has established a research portfolio focused on computational drug discovery, medicinal chemistry, and antimicrobial innovation. Through a combination of molecular modeling techniques and laboratory-based investigations, her work contributes to advancing therapeutic development and biological target evaluation. These accomplishments reflect a meaningful contribution to contemporary biomedical research and scientific scholarship.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Azar Tahghighi, Author ID 24923832500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24923832500
  2. Chemical Physics Impact. (2026). Structure-guided design of triazolo[4,3-a] quinoxaline-4-ol derivatives as novel TLR7 ligands.
    https://doi.org/10.1016/j.chphi.2026.101045
  3. PLOS One. (2025). Identification of new triazoloquinoxaline amine derivatives with potent modulatory effects against Toll-like receptor 7.
    https://doi.org/10.1371/journal.pone.0336701
  4. Journal of Medical Microbiology and Infectious Diseases. (2025). Antibacterial and Antibiofilm Efficacy of a Synthetic Nitrofuranyl Pyranopyrimidinone Derivative.
    https://doi.org/10.61882/JoMMID.13.2.139
  5. Chemical Biology & Drug Design. (2024). Click chemistry beyond metal-catalyzed cycloaddition as a tool for antifungal medication synthesis.
    https://doi.org/10.1111/cbdd.14555
  6. Iranian Biomedical Journal. (2024). Evaluation of Anti-Bacterial and Anti-Biofilm Activity of Native Probiotic Strains of Lactobacillus Extracts.
    https://doi.org/10.61186/ibj.4043

Anastasia Bougea | Biological Networks | Innovative Research Award

Published on by Network Science

Innovative Research Award

Anastasia Bougea
National and Kapodistrian University of Athens

Anastasia Bougea
Affiliation National and Kapodistrian University of Athens
Country Greece
Scopus ID 55629725400
Documents 136
Citations 2352
h-index 27
Subject Area Biological Networks
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0003-3006-8711

Anastasia Bougea is a Greek researcher affiliated with the National and Kapodistrian University of Athens whose scholarly work spans neurology, neurodegenerative diseases, clinical neuroscience, digital health, and data-driven approaches to understanding complex biological systems. Her publication record demonstrates sustained contributions to Parkinson’s disease, dementia-related disorders, neuropsychological assessment, and emerging machine-learning methodologies in healthcare research.[1] Through interdisciplinary investigations integrating clinical evidence, neurological biomarkers, and computational analysis, her research aligns with contemporary developments in biological network science and translational medicine.[2]

Abstract

This article summarizes the academic profile of Anastasia Bougea and evaluates her suitability for recognition through the Innovative Research Award. Her body of work reflects a multidisciplinary approach linking neurological disorders, clinical diagnostics, machine learning, mobile health technologies, and molecular mechanisms of neurodegeneration. The scope and continuity of her contributions indicate an active engagement with contemporary biomedical challenges and network-oriented approaches to disease understanding.[3]

Keywords

Biological Networks, Neurodegenerative Diseases, Parkinson’s Disease, Machine Learning, Clinical Neuroscience, Mobile Health, Dementia, Alpha-Synuclein, Biomarkers, Graph Analytics.

Introduction

Research into neurodegenerative diseases increasingly relies on interconnected biological data, computational modeling, and predictive analytics. Anastasia Bougea’s scholarly activities contribute to this evolving landscape through studies addressing disease mechanisms, clinical assessment tools, and technology-assisted healthcare solutions. Her work demonstrates the integration of biomedical knowledge with analytical methods relevant to modern network science applications.[4]

Research Profile

With 136 indexed publications, 2,352 citations, and an h-index of 27, Bougea has established a substantial academic presence. Her research portfolio encompasses Parkinson’s disease, dementia with Lewy bodies, frontotemporal dementia, non-coding RNA therapeutics, and digital health technologies. Her publication activity reflects sustained engagement with peer-reviewed international journals and collaborative research initiatives.[1]

Research Contributions

  • Applied machine learning techniques for predicting multiple system atrophy and progressive supranuclear palsy.
  • Investigated therapeutic opportunities involving non-coding RNAs in neurodegenerative diseases.
  • Reviewed molecular pathways associated with alpha-synuclein and GBA1-related neurological disorders.
  • Explored mobile health technologies supporting Parkinson’s disease management.

Publications

  • Machine learning-based prediction of multiple system atrophy and progressive supranuclear palsy using clinical and neuropsychological scores (2026).
  • Targeting Non-Coding RNAs as a Potential Therapeutic and Delivery Strategy Against Neurodegenerative Diseases (2026).
  • Role of Alpha-Synuclein in Frontotemporal Dementia: Narrative Review (2026).
  • Underlying Mechanisms of GBA1 in Parkinson’s Disease and Dementia with Lewy Bodies (2025).
  • Mobile Health Technologies for the Management of Parkinson’s Disease (2025).

Research Impact

The impact of Bougea’s research is reflected through citation activity, interdisciplinary relevance, and practical implications for neurological healthcare. Her studies support improved understanding of disease progression, digital monitoring technologies, and predictive clinical tools. These contributions help bridge translational research with patient-centered applications and data-driven decision-making frameworks.[5]

Award Suitability

Anastasia Bougea demonstrates characteristics commonly associated with innovative research recognition, including interdisciplinary scholarship, measurable scientific impact, and continued publication productivity. Her integration of machine learning, molecular neuroscience, and mobile health technologies contributes to emerging approaches within biological networks and graph-informed biomedical analysis. These achievements provide a strong basis for consideration within the International Research Awards on Network Science & Graph Analytics.[6]

Conclusion

Bougea’s academic record reflects sustained contributions to neuroscience and neurodegenerative disease research. Her work combines clinical relevance with analytical innovation, supporting advancements in predictive medicine and network-based biomedical understanding. The breadth of her scholarly output and demonstrated impact support recognition within an international research award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Anastasia Bougea, Author ID 55629725400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55629725400
  2. Bougea, A. (2026). Machine learning-based prediction of multiple system atrophy and progressive supranuclear palsy using clinical and neuropsychological scores.
    DOI: https://doi.org/10.1016/j.bnd.2026.02.002
  3. Bougea, A. (2026). Targeting Non-Coding RNAs as a Potential Therapeutic and Delivery Strategy Against Neurodegenerative Diseases.
    DOI: https://doi.org/10.3390/ijms27073260
  4. Bougea, A. (2026). Role of Alpha-Synuclein in Frontotemporal Dementia: Narrative Review.
    DOI: https://doi.org/10.3390/cells15050470
  5. Bougea, A. (2025). Underlying Mechanisms of GBA1 in Parkinson’s Disease and Dementia with Lewy Bodies.
    DOI: https://doi.org/10.3390/genes16121496
  6. Bougea, A. (2025). Mobile Health Technologies for the Management of Parkinson’s Disease.
    DOI: https://doi.org/10.1080/14737175.2025.2580468

Jiu Chen | Biological Networks | Research Excellence Award

Published on by Network Science

Dr. Jiu Chen | Biological Networks | Research Excellence Award

Nanjing University | China

Dr. Chen is a Professor and Deputy Director at the Institute affiliated with Drum Tower Hospital, Medical School of Nanjing University. He actively contributes to multiple national and provincial professional organizations, serving as a Youth Committee Member of the Jiangsu Anti-Aging Society Branch and as a Committee Member of the Professional Committee on Cognitive Disorders under the Jiangsu Society of Research Hospitals. His academic leadership also extends to the Professional Committee on Medical Artificial Intelligence of the Chinese Hospital Association, the Brain Cognition and Health Branch of the Chinese Society of Gerontology and Geriatrics, and the Cognitive Disorders Branch of the China International Exchange and Promotive Association for Medical and Health Care. Dr. Chen earned his MD from the Fourth Military Medical University in June 2013 and completed his PhD at the Medical School of Southeast University in March 2017. He further strengthened his expertise through advanced neuroimaging research training as a visiting scholar at the Medical College of Wisconsin, USA (2016–2017).

Citation Metrics (Scopus)

2500
1500
1000
500
0

Citations
1731

Documents
138

h-index
28

Citations

Documents

h-index


View Scopus Profile
 View Orcid Profile

Featured Publications

The Classification of Vestibular Schwannoma (VS) and Cerebellopontine Angle Meningioma (CPAM) Based on Multimodal Magnetic Resonance Imaging Analysis

– Diagnostics, 2025 (2 Citations)
Medial orbitofrontal cortex structure, function, and cognition associates with weight loss for laparoscopic sleeve gastrectomy

– Obesity, 2025 (1 Citation)
Cardiac surgery with valve replacement temporarily disrupts the hippocampal memory network

– British Journal of Anaesthesia, 2025 (6 Citations)
Altered face perception in amnestic mild cognitive impairment: Evidence from representational similarity analysis of event-related potential

– Journal of Alzheimer’s Disease, 2025

Seung Beom Seo | Biological Networks | Research Excellence Award

Published on by Network Science

Prof. Seung Beom Seo | Biological Networks | Research Excellence Award

University of Seoul | South Korea

Prof. Seung Beom Seo is an Associate Professor at the International School of Urban Science, University of Seoul, where he also serves as Head of the Department of Sustainable Urban Development and Director of the Global Urban and Infrastructure Research Center. He earned his PhD in Civil Engineering from North Carolina State University, USA, following his master’s degree from Seoul National University and a bachelor’s degree from Dongguk University, South Korea. Prof. Seo’s academic career includes roles as Assistant Professor at the University of Seoul, Research Fellow at the Korea Environment Institute, and Post-doctoral Researcher at Seoul National University. He began his professional journey as an Engineer at Daewoo E&C. His research interests focus on Biological Networks, with particular emphasis on Biological Connectivity.

Citation Metrics (Scopus)

500
200
100
50
0

Citations
467

Documents
48

h-index
11

Citations

Documents

h-index


View Scopus Profile
 View Orcid Profile
 View Google Scholar Profile

Featured Publications

Biological Connectivity in Freshwater Ecosystems: Evaluation of Spatial and Temporal Anomalies in a River Basin

– Ecohydrology, 2025
An Integrated Approach for Characterizing and Selecting Climate Change Scenarios Based on Variability and Extremeness

– Scientific Reports, 2025
Development of a Flood Damage Mitigation Index for Flood Management Capacity Assessment Using Regression Function Parameters

– Natural Hazards, 2025
Effects of Flood Mitigation Policies under Climate Change Scenarios Based on the Cost-Benefit Perspective in the Mountainous Korean Basin

– Natural Hazards, 2025

Yunjie Zhao | Biological Networks | Research Excellence Award

Published on by Network Science

Prof. Yunjie Zhao | Biological Networks | Research Excellence Award

Central China Normal University | China

Prof. Yunjie Zhao is a distinguished biophysicist who earned his Ph.D. in Biophysics from Huazhong University of Science and Technology in 2012, where he conducted pioneering research on computational prediction of non-coding RNA structures under the mentorship of Prof. Yi Xiao, following his B.S. in Physics from the same institution. He advanced his expertise as a Postdoctoral Research Scientist at The George Washington University with Prof. Chen Zeng, contributing significantly to de novo protein design and bionetwork modeling. Since 2016, he has been a faculty member at Central China Normal University, becoming a full Professor in 2019, and has taught a wide range of courses including Machine Learning, Biophysics, Bioinformatics, Computational Biology, and Physics. Prof. Zhao is an active member of several professional societies, including the Chinese Physical Society and the Biophysical Society of China, and previously the American Physical Society. He serves as an editorial board member for leading journals such as Briefings in Bioinformatics, iScience, Pharmaceuticals, Life, Biomolecules, International Journal of Molecular Sciences, and Scientific Reports, and is a frequent reviewer for top-tier publications including Nature Biotechnology, Nature Reviews Genetics, Nature Machine Intelligence, Nature Communications, and Physical Review Letters. His research contributions are further reflected in multiple granted patents spanning protein–ligand binding site prediction, RNA contact prediction, plant lectin polymerization peptide inhibitors, and protein drug binding pocket prediction, underscoring his impactful contributions to computational biology and biophysics.

Profiles: Scopus | Google Scholar

Featured Publications

"RNA-protein interaction prediction using network-guided deep learning", H Liu, Y Jian, C Zeng, Y Zhao, Communications Biology 8 (1), 2025.

"Advances and Mechanisms of RNA–Ligand Interaction Predictions", C Zhuo, C Zeng, H Liu, H Wang, Y Peng, Y Zhao Life 15 (1), 2025.

"Decoding the effects of mutation on protein interactions using machine learning", W Xu, A Li, Y Zhao, Y Peng, Biophysics Reviews 6 (1), 2025.

"Advances in Methods for Accurate Prediction of RNA–Small Molecule Binding Sites: From Isolated to AI-Integrated Strategies", J Gao, C Zhuo, C Zeng, H Liu, Y Zhao, Pharmaceuticals 18 (10), 2025.

"Ab initio HIV-1 Tat–TAR interactions study using hybrid scoring-enhanced molecular modeling across subtypes", C Zeng, H Wang, J Gao, H Liu, C Zhuo, Y Zhao, Physical Chemistry Chemical Physics 27 (27), 2025.

Yingzi Yang | Biological Networks | Research Excellence Award

Published on by Network Science

Prof. Yingzi Yang | Biological Networks | Research Excellence Award

Harvard School of Dental Medicine | United States

Prof. Yingzi Yang is a distinguished developmental biologist whose career spans leading institutions including Harvard Medical School and the National Institutes of Health. She earned her BS in Biology from Fudan University in 1988 and completed her PhD in Molecular Biology at the Sloan-Kettering Institute and Weill Medical College of Cornell University in 1996, followed by postdoctoral training with Andrew P. McMahon at Harvard University. She joined the NIH in 2000 as an Investigator and rose to Senior Investigator before being appointed Professor of Developmental Biology at Harvard Medical School in 2015, where she also serves as Principal Faculty of the Harvard Stem Cell Institute and a member of the Dana-Farber/Harvard Cancer Center. Widely recognized for her contributions to Wnt signaling, skeletal biology, and developmental mechanisms, Prof. Yang has received numerous honors including the AAAS Fellowship, ASBMR Fellowship, the IADR Distinguished Scientist Award, multiple NIH Awards of Merit, and the Vincent du Vigneaud Award of Excellence. She has held major leadership roles such as President of the Chinese Biological Investigators Society (2022–2024), member of the NIH SBDD Study Section, and keynote speaker at national scientific meetings. Her extensive service includes high-level Harvard committees, NIH central tenure committees, Gordon Research Conference leadership, international symposium organization, and major grant review panels for NIH, NSF, and global scientific agencies. A respected scholar and reviewer for top-tier journals including Cell, Nature family journals, Science family journals, and Development, Prof. Yang is recognized worldwide for advancing fundamental understanding of developmental and stem cell biology and their implications for human disease.

Profiles: Scopus | Google Scholar

Featured Publications

"Disrupting bile acid metabolism by suppressing Fxr causes hepatocellular carcinoma induced by YAP activation", Y Liu, J Zhu, Y Jin, Z Sun, X Wu, H Zhou, Y Yang, Nature Communications 16 (1), 2025.

"Fibrous dysplasia/McCune-Albright syndrome: state-of-the-art advances, pathogenesis, and basic/translational research", B Palmisano, C Berry, A Boyce, JF Charles, MT Collins, A Corsi, FA Fierro, Orphanet Journal of Rare Diseases 20 (1), 2025.

"Piezo1-mediated mechanotransduction controls osteocyte maturation and dendrite development via a YAP-CCN-Src signaling axis", YJ Hu, X Wu, F Wang, Y Jin, Y Jin, Y Liu, Q Cong, Y Yang, Nature Communications, 2025.

"Injury-induced niche factors Cxcl12 and Shh/Ihh coordinate suture stem cell activation during calvarial bone regeneration", B Li, T Ouchi, J Liu, Y Yang, Science Signaling 18 (909), 2025.

"Neutralization of Receptor activator of nuclear factor-κB ligand reduces fibrosis and promotes osteoblast differentiation in a mouse model of fibrous dysplasia driven", RT Ormsby, Y Zhang, C Hodys, LA Wake, SM Perez, K Tsang, Y Yang, JBMR plus 9 (10), 2025.

Leke Victor Aiyesa | Biological Networks | Research Excellence Award

Published on by Network Science

Dr. Leke Victor Aiyesa | Biological Networks | Research Excellence Award

University Of Göttingen | Germany

Dr. Leke Victor Aiyesa is a researcher specializing in the use of data and data-driven methodologies to uncover the molecular basis of agronomic and adaptation traits. His work bridges computational insight with real-world experimentation, and he collaborates closely with field and laboratory technicians to design and supervise experiments, generate high-quality datasets, and deliver impactful scientific outcomes. By integrating analytical research with hands-on experimental processes, Dr. Aiyesa ensures that his findings are not only comprehensive but also grounded in practical applications that advance agricultural science and trait improvement.

Profiles: Orcid | Google Scholar

Featured Publications

"Individual plant genetics reveal the control of local adaptation in European maize landraces", LV Aiyesa, D Kaufmann, B Zumbach, W Link, S Scholten, T Beissinger, BMC biology 23 (1), 2025.

"Dissection of genomic regions associated with plant height and flowering time in a diverse panel of common snap bean (Phaseolus vulgaris L.) using GWAS", LV Aiyesa, L Malysheva-Otto, T Meyer-Luepken, U Lohwasser, Euphytica 221 (10), 2025

"Identification of core, conditional and crosstalk components of tomato heat stress response using integrative transcriptomics and orthology", Dennis Psaroudakis, Abul Khayer, Leke V Aiyesa, Nick Bergau, Alain Tissier, Yunlong Lu, Philip A Wigge, Alon Israeli, Naama Teboul, Andrea Bräutigam, Jędrzej J Szymański,

"Unravelling the genetics of pod stringiness and agronomic traits of common bean (Phaseolus vulgaris L.) using genome-wide association studies and genotyping-by-sequencing", LV Aiyesa, L Malysheva-Otto, JC Reif, N Stein, LG Otto, Göttingen, 2022.

Jianjun Deng | Biological Networks | Research Excellence Award

Published on by Network Science

Prof. Jianjun Deng | Biological Networks | Research Excellence Award

Northwest University | China

Professor Jianjun Deng, Ph.D., is a distinguished scholar and Ph.D. supervisor at Northwest University, specializing in natural products, chronic disease prevention, food chemistry, nutrition, and bioactive lipids in cancer. He earned his Ph.D. in Food Biotechnology from China Agricultural University (2010), following an M.S. in Postharvest Biotechnology (2007) and a B.S. in Horticulture (2004) from Gansu Agricultural University. Since joining Northwest University in 2010, he has progressed from Lecturer to Associate Professor and is currently a Professor in the Department of Bioengineering, complemented by prestigious postdoctoral research experiences at The University of Hong Kong and Harvard Medical School. Dr. Deng has served as a fund reviewer for major national and provincial research programs and as a manuscript reviewer for leading journals in food science, nutrition, pharmacology, and molecular biology. He is an active member of several professional societies, including the American Society for Biochemistry and Molecular Biology, the American Chemical Society, the American Society for Virology, the Hong Kong Association of Scholars, and national nutrition societies. Widely recognized for his scientific contributions, he has received numerous honors such as the Hong Kong Scholar Award (2014), Young Science and Technology Star of Shaanxi Province (2013), Outstanding Young Academic Backbone and Outstanding Teacher of Northwest University, multiple science and technology awards, and medals in innovation and entrepreneurship competitions. Dr. Deng has an extensive portfolio of granted and pending patents in functional hydrogels, drug delivery systems, biomedical materials, fermentation devices, and food science innovations, alongside numerous conference presentations worldwide in areas including phytochemicals, virology, metabolic regulation, and chronic disease mechanisms. He is also an accomplished educator, teaching both undergraduate and postgraduate courses in food science and biotechnology, and has independently supervised fourteen M.S. students, contributing significantly to talent cultivation and scientific advancement.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Novel Eco-Friendly Extraction of Oat Bran Protein: A Multifaceted Analysis of Structure, Physicochemical, and Functional Properties", H Peng, Q Wang, Y Zhang, Y Zhao, W Zhang, Y Li, J Deng, H Yang, Food Hydrocolloids, 2025.

"Comparison of different ginsenosides with C-3 or C-6 sugar moieties on activities in alcohol-induced liver injury mice", W Wang, K Zhou, Z Fu, Y Huang, J Deng, D Fan, H Yang, Journal of Ginseng Research, 2025.

"Structural–Functional Characterization and Bioactive Potential of Alternative Grain Proteins: An In-Depth Comparison of Quinoa and Oat Proteins Isolates", Y Zhang, W Zhang, Y Zhao, Y Li, Z Zhang, H Yang, J Deng, Journal of Agricultural and Food Chemistry 73 (33), 2025.

"Valorization of broccoli waste: Unlocking its potential as a functional food ingredient for sustainable nutrition", Habtamu Ayalew Engida, Q Wang, Y Zhao, W Zhang, J Deng, H Yang, Journal of Advanced Research, 2025.

"Analysis on the difference of nutrient components of black wolfberry seed grown in different regions", Y Liu, W Zhang, Y Li, R Shen, S Wang, X Wang, J Deng, Z Xu, H Yang, Food Research International, 2025.

Milton Mondal | Mathematical Modelling | Best Researcher Award

Published on by Network Science

Dr. Milton Mondal | Mathematical Modelling | Best Researcher Award

Amrita Vishwa Vidyapeetham, Coimbatore | India

Dr. Nikhil Sudhir Sathe (PhD), currently associated with Laboratory Animal Research Services (LARS), is a distinguished researcher with over 20 years of expertise in drug discovery and preclinical evaluation of new chemical entities. His extensive professional experience encompasses in vitro genotoxicology, cell and microbial culture (aerobic, anaerobic, and viral systems including rabies virus), and small laboratory animal studies. Throughout his career at Reliance Life Sciences, Vimta Labs, Dabur Research Centre, and Wockhardt Research Centre, Dr. Sathe has demonstrated exceptional proficiency in GLP-compliant laboratory practices, including bacterial reverse mutation, chromosomal aberration, micronucleus, ELISA, cytotoxicity, and microbial monitoring assays. His early research contributions involved innovative in vitro models for evaluating the efficacy of antimicrobial and cosmetic products. Academically, he holds a Master’s and Bachelor’s degree in Microbiology from Shivaji University, Kolhapur, both with distinction. Dr. Sathe has contributed significantly to scientific literature with publications in reputed journals such as Vaccine, Microbial Pathogenesis, Infectious Medicine, and BioMed, focusing on bacteriophage therapy and vaccine development against multidrug-resistant pathogens and SARS-CoV-2. His scholarly achievements are complemented by active participation in national conferences and workshops, reflecting his deep commitment to advancing microbiological and biomedical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Dynamics of a phytoplankton–zooplankton model with three-dimensional patch under the impacts of hydrodynamic conditions", M Mondal, CS Rao, T Zhang, Mathematics and Computers in Simulation, 2025.

"Bloom dynamics under the effects of periodic driving forces", M Mondal, T Zhang, Mathematical Biosciences, 2025.

"Mathematical Modelling and Analysis of Harmful Algal Bloom", M Mondal, Bulletin of the Australian Mathematical Society, 2024.

Raquel Martín García | Biological Network | Best Research Article Award

Published on by Network Science

Dr. Raquel Martín García | Biological Network | Best Research Article Award

Puerta de Hierro University Hospital Majadahonda | Spain

Dr. Raquel Martín García is a highly accomplished neurologist specializing in movement and sleep disorders, with extensive academic and clinical expertise. She earned her Degree in Medicine and Surgery (2010–2016) and is currently pursuing her Doctorate in Medicine and Surgery at the Autonomous University of Madrid. After completing her Neurology specialization at Puerta de Hierro University Hospital (2017–2021), she has since served as a Specialist Physician in the Movement Disorders Unit and the Sleep Unit at leading hospitals and research centers in Madrid, including the Sleep Research Institute and CISNe Comprehensive Sleep and Neuroscience Center. Dr. Martín García holds multiple postgraduate qualifications, including a Master’s in Movement Disorders, expert titles in Headaches and Neurosonology, and advanced certifications in cerebrovascular and hereditary neurological diseases. Her research contributions include several publications in prestigious international journals such as European Journal of Neurology, Brain Sciences, and Epilepsy & Behavior, as well as book chapters for Springer and the Oxford Handbook of Sleep and Sleep Disorders. She has actively presented her work at major neurology conferences, participated as a sub-investigator in numerous Phase II and III clinical trials on Parkinson’s disease and multiple sclerosis, and contributed to teaching and mentoring at the Autonomous University of Madrid. Recognized for her dedication to advancing neurological sciences, she received the STADA Fellowship from the AMN Movement Disorders Group in 2024.

Profiles: Scopus

Featured Publications

"Device-aided therapies (DATs) in Parkinson's disease (PD). The DATs-PD GETM Spanish Registry Protocol Study", Martín García R, Plos One, 2025.