Research Excellence Award
Suresh Kumar Balasubramanian
Wayne State University
Suresh Kumar Balasubramanian is a researcher affiliated with Wayne State University whose supplied academic profile is associated with Biological Data Science. The reported record contains 36 documents, 1,335 citations, and an h-index of 19. These bibliometric indicators provide a quantitative context for understanding the research profile and are subject to change as indexing databases are updated.
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Abstract
This academic recognition profile presents Suresh Kumar Balasubramanian in connection with the Research Excellence Award and Computational Biologists Awards. He is identified with Wayne State University in the United States and the subject area of Biological Data Science. The supplied bibliometric record reports 36 documents, 1,335 citations, and an h-index of 19. The profile summarizes his researcher identity, scholarly publication activity, bibliometric visibility, and relevance to computational biology. These details provide a structured academic overview based on the supplied information, while recognizing that researcher identifiers, publication records, citation counts, and institutional affiliations should be independently verified through authoritative databases and official sources.
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Keywords
Biological Data Science, Computational Biology, Bioinformatics, Research Excellence, Biomedical Data, Research Impact, Bibliometrics, Computational Biologists Awards.
Introduction
Computational biology combines biological investigation with computational, statistical, and data-driven methods to examine complex scientific problems. Researcher profiles and bibliometric databases provide structured information that can assist in describing scholarly activity, publication output, and citation visibility. [2]
Research Profile
Suresh Kumar Balasubramanian is identified as being affiliated with Wayne State University and associated with Biological Data Science. The supplied researcher identifiers include Scopus Author ID 57117214200 and ORCID 0000-0001-9044-1309. Persistent identifiers such as ORCID can support reliable attribution of scholarly work, while indexing identifiers can provide access to publication and citation information maintained by relevant databases. [1] [3]
Research Contributions
The research profile is situated within Biological Data Science, an interdisciplinary area that applies computational and analytical approaches to biological information. Such research can involve the organization, analysis, interpretation, and integration of biological datasets. The supplied information establishes the researcher’s broad subject-area association but does not provide sufficient evidence to attribute particular discoveries or methodologies beyond the documented profile.
Publications
The supplied Scopus information reports 36 documents associated with the researcher profile. Publication counts depend on database coverage, document classification, author disambiguation, and indexing practices. Accordingly, the complete publication record should be examined through the corresponding author profile when specific publication titles, journals, publication dates, or co-authorship information are required.
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Research Impact
The reported citation count of 1,335 and h-index of 19 provide quantitative indicators of scholarly visibility within the supplied bibliometric record. The h-index was introduced as a measure combining publication productivity with citation impact, although it should not be treated as a complete measure of research quality or broader academic contribution. [5]
Award Suitability
The supplied academic profile is relevant to the Computational Biologists Awards because the stated subject area is Biological Data Science and the profile documents scholarly activity in an interdisciplinary computational research context. The combination of institutional affiliation, researcher identifiers, publication activity, citation indicators, and research-area classification provides information that may be considered in an academic recognition process. Final eligibility and selection remain subject to the official requirements and evaluation procedures of the award organizer. [4]
Conclusion
Suresh Kumar Balasubramanian is presented as a Wayne State University researcher associated with Biological Data Science and computationally oriented biological research. The supplied record reports 36 documents, 1,335 citations, and an h-index of 19. Together with the listed Scopus and ORCID identifiers, these details provide a structured basis for an academic recognition profile while allowing readers to verify the information through the relevant official researcher and indexing sources.
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External Links
References
- Elsevier. (n.d.). Scopus author details: Suresh Kumar Balasubramanian, Author ID 57117214200. Scopus.
https://www.scopus.com/pages/authors/57117214200
- Journal article . (2025.). Clinical and Molecular Characterization of Myeloid Sarcoma: A Systematic Review and Meta-Analysis.
https://doi.org/10.3390/cancers17243975
- Journal article. (2025. ). Molecular Insights and Therapeutic Advances in Low-Risk Myelodysplastic Neoplasms: A Clinical Review.
https://doi.org/10.3390/cancers17223610
- ORCID. (n.d.). ORCID record for Suresh Kumar Balasubramanian.
https://orcid.org/0000-0001-9044-1309
- Computational Biologists Awards. (2026). Official Award Website.
https://computationalbiologists.com/