Avijit Mazumde| MICROBIOLOGY | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Avijit Mazumde
Avijit Mazumde
Affiliation NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE)
Country India
Scopus ID 8257888200
Documents 15
Citations 8
h-index 2
Subject Area MICROBIOLOGY
Event Indian Scientist Awards
ORCID 0000-0002-3053-8106

Avijit Mazumde is a researcher affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India, with a stated subject area of R&D Analyst. The research profile associated with the supplied bibliometric information records 15 documents, 8 citations, and an h-index of 2. These indicators provide a quantitative snapshot of indexed research output and citation activity and should be interpreted in the context of publication history, disciplinary norms, authorship, collaboration, and research contribution.

Abstract

This academic recognition profile presents the research record of Avijit Mazumde, affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India. The supplied scholarly profile reports 15 documents, 8 citations, and an h-index of 2. The profile is situated within the field designation of R&D Analyst and is associated with the Indian Scientist Awards. Bibliometric indicators such as document counts, citation counts, and the h-index can provide useful measures of scholarly visibility, although they represent only selected dimensions of research activity and should not be considered independently of disciplinary and qualitative context. The h-index, for example, was introduced as an indicator combining publication productivity and citation impact. [1]

Keywords

Avijit Mazumde; R&D Analyst; research and development; scholarly communication; bibliometrics; research publications; citation impact; h-index; NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE); Indian Scientist Awards.

Introduction

Research recognition commonly considers a combination of scholarly productivity, citation activity, research relevance, professional contribution, and institutional affiliation. Bibliographic databases can support the quantitative assessment of research records by providing structured information about indexed documents and citations. However, quantitative indicators are most meaningful when considered alongside the subject area, career stage, publication characteristics, and the nature of individual contributions.

In the supplied profile, Avijit Mazumde is identified with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE) in India and is described under the subject area of R&D Analyst. The available profile information records 15 documents, 8 citations, and an h-index of 2. These values form the principal quantitative indicators used to describe the research profile presented on this page.

Research Profile

The research profile identifies Avijit Mazumde as an R&D Analyst associated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE). The supplied bibliometric record contains 15 documents and 8 citations, with an h-index of 2. The corresponding Scopus author identifier is 8257888200, while the supplied ORCID identifier is 0000-0002-3053-8106. These identifiers can assist with distinguishing a researcher’s scholarly record across indexing and researcher-profile systems.[3]

Profile indicator Supplied information
Researcher Avijit Mazumde
Institution NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE)
Country India
Documents 15
Citations 8
h-index 2
Subject Area R&D Analyst

Research Contributions

The available information does not provide a detailed publication-by-publication description of Avijit Mazumde’s research projects, methodologies, datasets, patents, or individual authorship contributions. Accordingly, specific scientific contributions are not inferred beyond the supplied research-profile information. The reported publication record of 15 documents indicates documented scholarly output within the indexed profile, while the citation count and h-index provide additional quantitative indicators of the visibility of that output.[2]

From an academic evaluation perspective, a complete assessment of research contribution would ordinarily consider the relevance and originality of individual publications, the researcher’s role in collaborative work, methodological contribution, practical or translational relevance, and the subsequent use or citation of the research. Such qualitative dimensions complement bibliometric indicators and help avoid interpreting publication and citation counts in isolation.

Publications

The supplied profile reports a total of 15 documents in the associated Scopus record. Individual publication titles, journals, publication years, author positions, citation distributions, and DOI identifiers were not supplied as part of the input data. Therefore, no specific publication titles or DOI records are attributed to the researcher on this page without independent bibliographic verification.

For publication-level verification, the researcher’s supplied Scopus author profile and ORCID record provide appropriate starting points for reviewing indexed works and persistent researcher identification.

Research Impact

The supplied research-impact indicators comprise 15 documents, 8 citations, and an h-index of 2. The h-index is designed to combine elements of publication productivity and citation impact into a single indicator, although its interpretation varies across fields and career stages. [1] Consequently, the reported value should be regarded as one component of a broader research assessment rather than a standalone measure of scientific quality.

The citation record of 8 citations indicates that the indexed publications have received measurable scholarly attention within the supplied record. A more comprehensive impact analysis could additionally examine citation trajectories, highly cited publications, field-normalized indicators, collaboration networks, research outputs beyond journal articles, and evidence of practical or societal application.

Award Suitability

The profile is presented for consideration under the Best Researcher Award associated with the Indian Scientist Awards. Based on the supplied information, the researcher has an identifiable institutional affiliation, a Scopus author identifier, an ORCID identifier, 15 reported documents, 8 citations, and an h-index of 2. These characteristics establish a documented scholarly profile that can be considered as part of an academic recognition assessment.[1]

Award suitability should nevertheless be determined through the applicable evaluation framework and, where required, verification of the underlying publications and researcher identifiers. Bibliometric indicators should be complemented by qualitative evidence concerning research originality, contribution, relevance, and scholarly significance. The information presented here therefore describes the available profile rather than making an unsupported claim of comparative superiority over other researchers.[2]

Conclusion

Avijit Mazumde is identified in the supplied information as an R&D Analyst affiliated with the NOIDA INSTITUTE OF ENGINEERING AND TECHNOLOGY (PHARMACY INSTITUTE), India. The associated profile records 15 documents, 8 citations, and an h-index of 2, together with Scopus and ORCID identifiers. These data provide a concise quantitative representation of the research profile and form part of the information relevant to consideration for the Best Researcher Award. A complete scholarly evaluation should incorporate verified publication-level evidence and qualitative assessment in addition to bibliometric indicators.[4]

References

  1. 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
    [DOI]
  2. Scopus. Author profile information associated with Scopus Author ID 8257888200.
    http://scopus.com/authid/detail.uri?authorId=8257888200
  3. ORCID. Researcher identifier record associated with ORCID 0000-0002-3053-8106.
    https://orcid.org/0000-0002-3053-8106.
  4. Benzimidazoles: A biologically active compounds
    https://www.sciencedirect.com/science/article/pii/S1878535212001761

Mukesh Pasupuleti | Drug Discovery | Best Researcher Award

Published-on by Indian Scientist Awards

Best Researcher Award

Mukesh Pasupuleti
CSIR-Central Drug Research Institute, India

 Mukesh Pasupuleti
Affiliation CSIR-Central Drug Research Institute
Country India
Scopus ID 16200101500
Documents 130
Citations 5,467
h-index 38
Subject Area Drug Discovery
Event Indian Scientist Awards
ORCID 0000-0001-6337-6257

Mukesh Pasupuleti is a researcher affiliated with the CSIR-Central Drug Research Institute in India, working in the broad field of drug discovery. The researcher profile supplied for the Best Researcher Award records 130 documents, 5,467 citations, and an h-index of 38. These bibliometric indicators provide a quantitative description of research visibility and scholarly output and should be interpreted alongside publication quality, research contribution, collaboration, and scientific relevance. [1]

The Best Researcher Award is considered in the context of sustained scholarly contribution, research productivity, scientific influence, and relevance to the nominated subject area. For Mukesh Pasupuleti, the stated specialization in Drug Discovery provides a direct connection between the research profile and the scientific scope of the award category.

Abstract

The Best Researcher Award profile recognizes the research record of Mukesh Pasupuleti, affiliated with the CSIR-Central Drug Research Institute in India and identified within the subject area of Drug Discovery. The supplied scholarly indicators comprise 130 documents, 5,467 citations, and an h-index of 38. Such indicators are commonly used to describe publication activity and citation influence, although bibliometric measures alone do not establish the scientific quality or originality of individual contributions. [1] [2]

Drug discovery is a multidisciplinary research domain encompassing the identification, validation, optimization, and evaluation of biological targets and candidate therapeutic compounds. Research in this field can integrate medicinal chemistry, molecular biology, pharmacology, computational approaches, structural biology, and related disciplines. The researcher profile is therefore situated within a scientific area of direct relevance to pharmaceutical and biomedical research.

Keywords

Drug Discovery; Pharmaceutical Research; Biomedical Research; Medicinal Research; Therapeutic Development; Scientific Publications; Research Impact; Citation Analysis; Bibliometrics; CSIR-Central Drug Research Institute; Indian Scientist Awards; Best Researcher Award.

Introduction

Drug discovery represents an important component of biomedical science because it translates biological knowledge into potential therapeutic interventions. Modern discovery programs frequently involve multiple stages, including target identification, target validation, hit discovery, lead optimization, preclinical assessment, and subsequent development activities. The field also increasingly incorporates computational methods and data-driven approaches to prioritize compounds and investigate biological mechanisms.

Academic evaluation within drug discovery therefore benefits from considering both quantitative and qualitative evidence. Publication counts, citations, and h-index values can provide useful indicators of scholarly visibility, but they do not independently capture methodological originality, reproducibility, translational significance, mentoring, collaboration, or the broader contribution of research to a scientific field. [1] [2]

Within this framework, Mukesh Pasupuleti’s supplied profile presents a substantial publication and citation record associated with the CSIR-Central Drug Research Institute. The profile is relevant to an academic recognition process focused on research achievement in Drug Discovery.

Research Profile

The supplied profile identifies Mukesh Pasupuleti as a researcher at the CSIR-Central Drug Research Institute, India, with Drug Discovery as the principal subject area. The available bibliometric information lists 130 documents, 5,467 citations, and an h-index of 38. These values indicate a documented body of scholarly publications and substantial citation activity within the indexed research literature.

Metric Reported value Interpretation
Documents 130 Indexed scholarly publication output reported in the supplied profile
Citations 5,467 Reported citation count indicating scholarly visibility
h-index 38 Bibliometric measure combining publication productivity and citation impact
Subject area Drug Discovery Primary research area supplied for award consideration

The profile should be assessed using the date and database represented by the supplied metrics because citation and publication indicators can change over time. Scopus author profiles, for example, may be affected by publication indexing, author disambiguation, database updates, and citation accumulation. [1]

Research Contributions

The supplied information establishes Drug Discovery as Mukesh Pasupuleti’s stated research area but does not provide a complete publication-by-publication description of individual discoveries. Accordingly, specific scientific findings should be evaluated from the underlying publications rather than inferred solely from bibliometric statistics.

For an academic assessment of contributions in drug discovery, relevant evidence may include:

  • Original research addressing significant biological, chemical, pharmacological, or therapeutic questions.
  • Development or application of methods that advance drug-discovery research.
  • Peer-reviewed publications demonstrating reproducible scientific findings.
  • Collaborative research contributing to multidisciplinary drug-discovery programs.
  • Evidence that published work has influenced subsequent research, as reflected in appropriate scholarly citation and use.

These dimensions complement quantitative indicators and allow award evaluators to distinguish publication volume from substantive scientific contribution. Responsible use of research metrics recommends that quantitative measures support, rather than replace, expert assessment of research quality. [2]

Publications

The supplied researcher profile reports 130 documents indexed under the associated Scopus author record. The number represents the publication output stated in the input information and should be verified against the current author profile when used for formal award documentation. [1]

For detailed publication evaluation, an academic review may consider:

  1. Peer-reviewed journal articles and other scholarly publications relevant to Drug Discovery.
  2. Publication venues and the scientific communities reached by the research.
  3. Citation patterns and the scholarly influence of individual publications.
  4. Evidence of original methodology, discoveries, translational relevance, or interdisciplinary contribution.
  5. Consistency and continuity of research activity over the relevant assessment period.

Because individual publication titles, journal details, publication years, and DOI records were not supplied in the source profile, specific article-level citations are not attributed to the researcher in this page. This avoids assigning publications or DOI identifiers without sufficient supporting information.

Research Impact

The supplied citation count of 5,467 and h-index of 38 indicate a notable level of citation activity associated with the researcher’s indexed publication record. Citation-based indicators can assist in assessing the reach of scholarly work, although citation counts differ across disciplines, publication types, career stages, databases, and research communities. [1] [2]

In drug discovery, research impact can extend beyond citations. Potential indicators include incorporation of findings into subsequent scientific studies, methodological adoption, collaboration across disciplines, contribution to therapeutic research programs, and translation of scientific knowledge toward practical applications. These forms of impact should be documented through verifiable evidence where they are relevant to an award assessment.

Award Suitability

Based on the supplied information, Mukesh Pasupuleti’s profile is aligned with the Best Researcher Award through the combination of a stated Drug Discovery specialization, an affiliation with the CSIR-Central Drug Research Institute, and the reported publication and citation indicators. The profile records 130 documents, 5,467 citations, and an h-index of 38.

Assessment dimension Profile evidence
Research area Drug Discovery
Institutional affiliation CSIR-Central Drug Research Institute, India
Publication output 130 reported documents
Citation impact 5,467 reported citations
h-index 38
Award category Best Researcher Award

Final award suitability should additionally be determined from the official eligibility criteria and supporting evidence required by the Indian Scientist Awards. Bibliometric indicators are relevant evidence but should not be treated as the sole basis for recognition. [2]

Conclusion

Mukesh Pasupuleti is presented in the supplied award profile as a Drug Discovery researcher affiliated with the CSIR-Central Drug Research Institute in India. The reported record of 130 documents, 5,467 citations, and an h-index of 38 provides quantitative evidence of scholarly activity and citation visibility. [1]

The profile is consequently relevant to consideration for the Best Researcher Award within the Indian Scientist Awards. A comprehensive academic assessment should combine these metrics with examination of individual publications, originality, scientific significance, methodological contribution, collaboration, research integrity, and demonstrable impact. Such a balanced approach is consistent with responsible principles for research evaluation. [2]

References

  1. Scopus. Scopus Author Profiles and Citation Metrics. Elsevier. Author profile identifier: 16200101500.
    https://www.scopus.com/pages/authors/16200101500
  2. Evaluation of strategies for improving proteolytic resistance of antimicrobial peptides by using variants of EFK17, an internal segment of LL-37
    https://journals.plos.org/plospathogens/article?id=10.1371/journal.ppat.1000857
  3. Antimicrobial peptides: key components of the innate immune system
    https://www.tandfonline.com/doi/abs/10.3109/07388551.2011.594423
  4. Strategies for fermentation medium optimization: an in-depth review
    https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2016.02087/full
  5. Evaluation of strategies for improving proteolytic resistance of antimicrobial peptides by using variants of EFK17, an internal segment of LL-37
    https://journals.asm.org/doi/full/10.1128/aac.00477-08