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:
- Peer-reviewed journal articles and other scholarly publications relevant to Drug Discovery.
- Publication venues and the scientific communities reached by the research.
- Citation patterns and the scholarly influence of individual publications.
- Evidence of original methodology, discoveries, translational relevance, or interdisciplinary contribution.
- 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]