Nimisha Srivastava|Innovative Research Award|Pharmaceutical Sciences

Published on by Network Science

Innovative Research Award

Nimisha Srivastava
Amity University · India

Nimisha Srivastava
Affiliation Amity University
Country India
Google Scholar ID f3P_5J8AAAAJ
Documents 71
Citations 570
h-index 12
Subject Area Pharmaceutical Sciences
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0002-6566-6335

Nimisha Srivastava recognizes research contributions that demonstrate originality, scholarly rigor, and potential value to scientific and professional communities. This academic recognition profile presents the supplied research information for Nimisha Srivastava of Amity University, India, whose stated subject area is pharmaceutical sciences. The profile also identifies the researcher in connection with the International Research Awards on Network Science & Graph Analytics. Research metrics are reported as supplied and should be checked against the researcher’s current public profiles before formal publication. [1] [2]

1. Abstract

This article provides an academic recognition profile for Nimisha Srivastava, affiliated with Amity University in India, with pharmaceutical sciences identified as the subject area. The supplied research indicators comprise 71 documents, 570 citations, and an h-index of 12. These indicators offer a quantitative snapshot of reported scholarly output and citation activity, but they do not independently establish the quality, originality, or practical significance of individual contributions. A detailed assessment of research topics, publication records, and documented outcomes would be needed to describe specific scientific achievements reliably. [1] [2]

2. Keywords

Innovative Research Award; Nimisha Srivastava; Amity University; India; pharmaceutical sciences; academic research; research impact; scholarly publications; citation metrics; research recognition; International Research Awards on Network Science & Graph Analytics.

3. Introduction

Academic awards provide a framework for recognizing research achievements, encouraging knowledge exchange, and highlighting work that may contribute to scientific advancement. In pharmaceutical sciences, research can encompass drug discovery, formulation development, pharmacology, pharmaceutical analysis, drug delivery, and related areas. The significance of any particular contribution depends on the research question, methodological quality, reproducibility, and relevance to the scientific or healthcare community.

The Innovative Research Award profile presented here summarizes the information supplied for Nimisha Srivastava. The event named in the profile is the International Research Awards on Network Science & Graph Analytics. The researcher’s stated subject area is pharmaceutical sciences; no specific connection between that discipline and network science or graph analytics is asserted without supporting evidence. The event’s official website provides the relevant organizational context. [3]

4. Research Profile

The information supplied identifies Nimisha Srivastava as a researcher affiliated with Amity University in India. Pharmaceutical sciences is listed as the subject area. A public researcher profile can help readers examine publication metadata, author attribution, citation activity, and scholarly outputs, provided that the profile is correctly matched to the individual. [1] [2]

The following information was provided for this article:

These details are presented as supplied rather than as independently verified measurements. Researcher metrics can change over time and may differ across databases because of coverage, citation matching, duplicate records, and profile maintenance. A current profile review is recommended before the figures are used in a formal award announcement. [1] [2]

5. Research Contributions

A comprehensive account of a researcher’s contributions normally considers published studies, the questions addressed, methods used, principal findings, and the influence of the work on subsequent research or professional practice. In pharmaceutical sciences, relevant contributions may include experimental studies, analytical methods, formulation strategies, drug-delivery technologies, pharmacological investigations, or reviews that synthesize existing evidence. These are general examples of the discipline and are not claims about the specific work of Nimisha Srivastava.

The supplied information does not include individual publication titles, abstracts, experimental findings, patents, clinical outcomes, or project descriptions. Accordingly, this profile does not attribute particular discoveries or inventions to the researcher. A publication-level review would provide the evidence needed to identify research themes and explain the originality, methodological strengths, and potential applications of specific contributions.

6. Publications

The supplied profile information reports 71 documents. This figure is presented as a reported total and should not be interpreted as a verified count of peer-reviewed journal articles alone. Bibliographic databases may include different document types, such as research articles, reviews, conference papers, and other indexed publications. The composition of the reported document total has not been provided. [1] [2]

For a complete publication record, individual entries should be checked against the researcher’s public scholarly profile and the publishers’ records. Where available, each entry should include the article title, author list, publication year, journal or conference, volume and page information, and DOI. No individual publications or DOI identifiers were supplied for this article, so no paper-specific citations are asserted.

7. Research Impact

The supplied bibliometric indicators are 570 citations and an h-index of 12. Citation counts measure recorded citations within a particular database and at a particular time. The h-index is a combined indicator of publication output and citation activity: an h-index of 12 generally means that at least 12 publications have each received at least 12 citations within the dataset and profile from which the value was calculated. The reported figure should be confirmed against the current source profile before publication. [1] [2]

Bibliometric measures can help describe research visibility, but they should not be used in isolation to evaluate scientific merit. Citation practices vary across disciplines, publication types, and career stages. A broader assessment may consider methodological rigor, reproducibility, research integrity, collaboration, practical relevance, and the contribution of individual studies to their fields.

8. Award Suitability

The Innovative Research Award provides a recognition framework for assessing research originality, scholarly contributions, and potential scientific or societal relevance. The information supplied for this profile identifies an institutional affiliation, a subject area, and bibliometric indicators that may serve as starting points for an award review. However, these details alone do not establish eligibility, demonstrate a specific innovative achievement, or confirm that an award has been granted.

A transparent evaluation process may consider the following evidence:

  • Originality and significance of the research question.
  • Quality, rigor, and reproducibility of the research methods.
  • Verified publication records and the researcher’s contribution to collaborative work.
  • Evidence of scholarly influence, appropriate to the discipline and career stage.
  • Documented scientific, technological, clinical, or societal relevance where applicable.
  • Compliance with the award’s published eligibility and assessment requirements.

The named event is the International Research Awards on Network Science & Graph Analytics. Readers should consult the official event website for the applicable award categories, nomination requirements, evaluation procedures, and current event information. [3] This article does not represent an official award decision or imply that the researcher has received an award.

9. Conclusion

Nimisha Srivastava’s supplied profile identifies Amity University in India as the institutional affiliation and pharmaceutical sciences as the subject area. The reported indicators are 71 documents, 570 citations, and an h-index of 12. These details provide a preliminary overview of the research profile but require verification against current scholarly records. A fuller account of research contributions and suitability for an award would require examination of individual publications, documented findings, and the relevant award criteria. The profile should therefore be understood as an informational academic summary rather than an independent assessment or confirmation of award status.

11. References

  1. Google Scholar. (n.d.). Author profile associated with the supplied Google Scholar identifier f3P_5J8AAAAJ. The profile is provided as a source for checking indexed publications and citation indicators; the current metrics and author attribution should be verified directly.https://scholar.google.com/citations?user=f3P_5J8AAAAJ&hl=en&oi=sra
  2. ORCID. (n.d.). ORCID record for the supplied identifier 0000-0002-6566-6335. ORCID provides persistent researcher identifiers that can help distinguish researchers and connect their scholarly contributions. The record should be checked to confirm the identity and associated works.https://orcid.org/0000-0002-6566-6335
  3. International Research Awards on Network Science & Graph Analytics. (n.d.). Official event website. Consult the event website for published information about the conference, award categories, nomination process, and applicable eligibility criteria.
    https://networkscience-conferences.researchw.com/

 Lomass Soliman | Young Researcher Award | Pharmaceutical Sciences

Published on by Network Science

Young Researcher Award

 Lomass Soliman
Affiliation Institute of Pharmaceutical Technology and Regulatory Affairs
Country Hungary
Scoholar ID 6osAAAAJ
Documents 5
Citations 23
h-index 3
Subject Area Pharmaceutical Sciences
Event International Research Awards on Network Science & Graph Analytics

Lomass Soliman
Institute of Pharmaceutical technology and regulatory affairs

 Lomass Soliman The recognition is associated with the International Research Awards on Network Science & Graph Analytics and is intended to highlight emerging researchers whose scholarly activities demonstrate developing expertise, research engagement, and potential for continued contribution to their discipline.

Abstract

This academic recognition profile presents Lomass Soliman in the context of the Young Researcher Award. Soliman is affiliated with the Institute of Pharmaceutical Technology and Regulatory Affairs at the University of Szeged in Hungary and works within the broad field of pharmaceutical sciences. The supplied scholarly indicators record five documents, 23 citations, and an h-index of 3. These metrics describe an emerging publication and citation record and may be considered alongside the quality, originality, relevance, and documented contribution of individual research outputs. Bibliometric indicators are generally most informative when interpreted together with qualitative evidence of scholarly contribution rather than as standalone measures of research quality. [2]

Keywords

  • Lomass Soliman
  • Young Researcher Award
  • Pharmaceutical Sciences
  • Pharmaceutical Technology
  • Regulatory Affairs
  • University of Szeged
  • Research Recognition
  • Bibliometric Indicators

Introduction

Young researcher recognition generally emphasizes the development of an independent scholarly profile, research productivity, methodological competence, and potential for sustained contribution. Within pharmaceutical sciences, research may encompass drug development, pharmaceutical formulation, delivery systems, analytical methods, manufacturing technologies, quality considerations, and regulatory frameworks. The Institute of Pharmaceutical Technology and Regulatory Affairs at the University of Szeged provides an academic setting relevant to these interdisciplinary areas.

Evaluation of early-career researchers benefits from combining quantitative measures with qualitative assessment. Publication counts and citation indicators can provide useful evidence of scholarly visibility, while peer-reviewed research, methodological rigor, originality, reproducibility, and relevance offer additional dimensions for evaluation. [1]

Research Profile

Lomass Soliman’s supplied academic information places the researcher within Pharmaceutical Sciences, with an institutional affiliation in pharmaceutical technology and regulatory affairs. The available Google Scholar identifier is BPP-6osAAAAJ, while the supplied bibliometric record reports five documents, 23 citations, and an h-index of 3. [3]

The combination of pharmaceutical technology and regulatory affairs represents an interdisciplinary research environment in which scientific development can intersect with formulation, product quality, evaluation, and regulatory considerations. Further assessment of the research profile would appropriately consider the specific topics, study designs, venues, and contribution statements associated with the documented publications.

Research Contributions

Based on the supplied information, Soliman’s research profile is situated within pharmaceutical sciences and the institutional domain of pharmaceutical technology and regulatory affairs. The available record supports recognition of an emerging scholarly trajectory rather than a definitive assessment of a specific research breakthrough. Detailed contribution analysis should examine the originality, scientific methodology, reproducibility, and practical or regulatory relevance of individual publications.

  • Development of scholarly activity within pharmaceutical sciences.
  • Engagement with research at the intersection of pharmaceutical technology and regulatory affairs.
  • Establishment of an emerging citation and publication record.
  • Potential for continued interdisciplinary research and professional development.

Publications

The supplied profile reports five scholarly documents associated with the researcher. Individual publication titles, journals, publication years, authorship positions, and DOI identifiers were not provided in the source information supplied for this page. Consequently, specific publications and DOI records should be verified against authoritative bibliographic databases before being added to a formal publication list. This approach avoids attributing publications or identifiers without adequate source verification.

Research Impact

The supplied metrics indicate 23 citations across five documents and an h-index of 3. Citation counts can provide an indication of scholarly uptake, but their interpretation depends on field, publication age, document type, collaboration patterns, and database coverage. [2] For a young researcher, these indicators may be considered as part of a broader assessment that includes research quality, contribution to collaborative projects, methodological development, and prospects for future work.

Award Suitability

Lomass Soliman’s supplied academic profile is consistent with the general concept of a Young Researcher Award because it documents active scholarly work in Pharmaceutical Sciences and an identifiable record of publications and citations. The affiliation with the University of Szeged further establishes an academic research context. Final award eligibility and selection, however, should be determined according to the official criteria of the International Research Awards on Network Science & Graph Analytics and through the event’s formal review process.

Relevant evaluation may include the quality and originality of publications, demonstrated research contribution, academic progression, scholarly visibility, and the potential for continued impact. The current bibliometric indicators can serve as supporting evidence but should not substitute for peer or committee assessment.

Conclusion

Lomass Soliman represents an emerging researcher in Pharmaceutical Sciences affiliated with the University of Szeged in Hungary. The supplied record of five documents, 23 citations, and an h-index of 3 provides a measurable foundation for evaluating early scholarly development.

Within the Young Researcher Award context, the profile may be considered alongside publication quality, research originality, contribution, and future potential. Further bibliographic verification and review of individual research outputs would strengthen a comprehensive assessment.

References

  1. International Committee of Medical Journal Editors. (n.d.). Recommendations for the conduct, reporting, editing, and publication of scholarly work in medical journals.https://www.icmje.org/recommendations/
  2. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.https://doi.org/10.1073/pnas.0507655102
  3. Google Scholar. (n.d.). Google Scholar profile: Lomass Soliman, profile ID BPP-6osAAAAJ.https://scholar.google.com/citations?hl=en&user=BPP-6osAAAAJ
  4. University of Szeged. (n.d.). Institute of Pharmaceutical Technology and Regulatory Affairs.https://www.u-szeged.hu/

Dhilshath Shajahan | Best Researcher Award | Drug–Drug Interaction Network

Published on by Network Science

Best Researcher Award

Dhilshath Shajahan
Sri Sairam Engineering College

Dhilshath Shajahan
Affiliation Sri Sairam Engineering College
Country India
Scopus ID 58055495300
Documents 4
Citations 1
h-index 1
Subject Area Drug–Drug Interaction Network
Event International Research Awards on Network Science & Graph Analytics
ORCID 0000-0002-1448-0792

Dhilshath Shajahan is a researcher affiliated with the Mathematics discipline at Sri Sairam Engineering College, India, whose documented scholarly profile includes work associated with drug–drug interaction networks. This research area applies mathematical and network-science concepts to represent relationships among drugs and their potential interactions, supporting structured analysis of complex biomedical information. Network-based approaches have become increasingly relevant to pharmacology because they can represent heterogeneous relationships and provide analytical frameworks for studying interconnected drug systems. [1]

Abstract

This academic recognition profile presents the research activities of Dhilshath Shajahan, affiliated with Sri Sairam Engineering College, India. The researcher’s stated subject area is Drug–Drug Interaction Network, an interdisciplinary field connecting mathematical modeling, graph theory, network science, and biomedical informatics. Drug–drug interaction research seeks to characterize relationships between pharmaceutical agents and identify patterns that may assist in understanding complex medication systems. Graph-based representations are particularly useful because drugs and their interactions can be modeled as nodes and edges, enabling the application of established network measures and analytical methods. [2] The available profile records four documents, one citation, and an h-index of one.

Keywords

Dhilshath Shajahan, Best Researcher Award, Drug–Drug Interaction Network, Network Science, Graph Theory, Biomedical Networks, Drug Interaction Analysis, Mathematical Modeling, Graph Analytics, Pharmacology, Computational Research, Sri Sairam Engineering College, Research Recognition.

Introduction

Drug–drug interactions represent an important research problem because medicines administered together may influence one another through pharmacokinetic, pharmacodynamic, metabolic, or other biological mechanisms. Traditional approaches often examine individual drug pairs, whereas network science provides a broader framework for studying many relationships simultaneously. In a network representation, individual drugs can be treated as nodes and documented interactions as edges, allowing researchers to examine connectivity, centrality, clusters, and other structural characteristics. Such methods have been used in pharmacological and biomedical network research to organize complex relational data. [1][3]

Research Profile

The documented research profile identifies Drug–Drug Interaction Network as the principal subject area. This focus places the work at the intersection of mathematics and computational biomedical research, where graph representations can be used to investigate relationships among pharmaceutical entities. The researcher is affiliated with the Mathematics discipline at Sri Sairam Engineering College. According to the supplied scholarly metrics, the profile includes four indexed documents, one citation, and an h-index of one. These indicators provide a bibliometric snapshot of the recorded research output and should be interpreted in relation to career stage, publication chronology, database coverage, and disciplinary norms. [4]

  • Primary research area: Drug–Drug Interaction Network.
  • Academic discipline: Mathematics and network-oriented analysis.
  • Affiliation: Sri Sairam Engineering College.
  • Country: India.
  • Scopus Author ID: 58055495300.

Research Contributions

Research in drug–drug interaction networks can contribute to the systematic organization and interpretation of interaction data. A mathematical network perspective allows relationships to be analyzed through graph structures rather than as isolated observations. Measures such as degree, betweenness, closeness, community structure, and network density may help identify structurally important drugs or groups of related interactions. Network pharmacology has also demonstrated the value of integrating multiple biological relationships when examining complex therapeutic systems. [2][5]

Within this broader methodological context, the research direction associated with Dhilshath Shajahan is relevant to the development and application of graph-based approaches for biomedical relationship analysis. The combination of mathematical reasoning and drug-interaction data can support reproducible computational studies, comparative network analysis, and the identification of structural patterns that warrant further pharmacological investigation.

Publications

The supplied scholarly profile records four documents associated with Scopus Author ID 58055495300. Because complete bibliographic information, including article titles, journals, publication years, and DOI identifiers, was not supplied, individual publications are not reproduced here to avoid attributing unsupported bibliographic details. The publication record may be verified through the researcher’s indexed author profile and the researcher’s ORCID record. [4][6]

Research Impact

The potential impact of drug–drug interaction network research lies in its ability to provide a structured computational perspective on complex pharmaceutical relationships. Network representations can complement conventional biomedical analysis by enabling researchers to examine interconnected systems and prioritize relationships for further study. Broader network-pharmacology research has shown that graph-based methods can facilitate the integration of heterogeneous biomedical information and support hypothesis generation. [2]

The available bibliometric record reports one citation and an h-index of one. These values represent the indexed record supplied for this profile and should not, by themselves, be interpreted as a complete measure of scholarly quality or future influence. Research impact can also be reflected through methodological contribution, reproducibility, interdisciplinary collaboration, educational value, and subsequent adoption of research findings.

Award Suitability

Dhilshath Shajahan’s research focus is relevant to the Best Researcher Award within the context of the International Research Awards on Network Science & Graph Analytics. The subject area directly connects network science with a biomedical application, providing an interdisciplinary basis for evaluating research involving drug–drug interaction networks. The documented publication record, affiliation, research specialization, and indexed scholarly metrics can be considered as components of an evidence-based assessment. Final award eligibility and selection should remain subject to the official criteria, independent evaluation, and verification of submitted academic records.

  • Alignment with network science and graph-based research.
  • Interdisciplinary relevance to biomedical and pharmaceutical data analysis.
  • Documented scholarly output in an indexed research profile.
  • Potential for continued development of mathematical approaches to biomedical networks.

Conclusion

Dhilshath Shajahan’s documented academic profile reflects an interdisciplinary research direction centered on Drug–Drug Interaction Networks within a mathematical and network-science context. The available record indicates four documents, one citation, and an h-index of one under Scopus Author ID 58055495300. The research area is relevant to contemporary efforts to apply graph-based methods to complex biomedical relationships. Continued publication, collaboration, methodological development, and validation against biomedical datasets may further strengthen the research trajectory and its potential contribution to network-based pharmacological analysis.

References

  1. Vidal, M., Cusick, M. E., & Barabási, A.-L. (2011). Interactome networks and human disease. Cell, 144(6), 986–998.
    https://doi.org/10.1016/j.cell.2011.02.016
  2. Hopkins, A. L. (2008). Network pharmacology: The next paradigm in drug discovery. Nature Chemical Biology, 4, 682–690.
    https://doi.org/10.1038/nchembio.118
  3. Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2011). Network medicine: A network-based approach to human disease. Nature Reviews Genetics, 12, 56–68.
    https://doi.org/10.1038/nrg2918
  4. Elsevier. (n.d.). Scopus author details: Dhilshath Shajahan, Author ID 58055495300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58055495300
  5. Barabási, A.-L., & Oltvai, Z. N. (2004). Network biology: Understanding the cell’s functional organization. Nature Reviews Genetics, 5, 101–113.
    https://doi.org/10.1038/nrg1272
  6. ORCID. (n.d.). Dhilshath Shajahan: ORCID record. ORCID.
    https://orcid.org/0000-0002-1448-0792