Research Excellence Award
MD Wasim Bari
University of Yamanashi, Japan
| MD Wasim Bari | |
|---|---|
| Affiliation | University of Yamanashi |
| Country | Japan |
| Scopus ID | 57216741890 |
| Documents | 11 |
| Citations | 73 |
| h-index | 4 |
| Subject Area | Quantitative Biology |
| Event | Computational Biologists Awards |
| Orcid ID | 0000-0002-0813-3081 |
MD Wasim Bari is a researcher affiliated with the University of Yamanashi, Japan, whose scholarly activities are situated within the field of Quantitative Biology. His research profile demonstrates engagement with computational and quantitative approaches applied to biological systems, contributing to the growing intersection of data science, bioinformatics, and biological research. Based on available bibliometric indicators, his academic output has achieved measurable visibility within the scientific community, reflected through publications, citations, and research impact metrics.[1]
Abstract
This article presents an academic overview of MD Wasim Bari and evaluates his suitability for recognition through the Research Excellence Award presented within the Computational Biologists Awards program. The assessment is based on publicly available scholarly indicators, including publication output, citation performance, subject specialization, and professional research engagement. His contributions to Quantitative Biology demonstrate participation in computational and data-driven biological research, supporting advancements in interdisciplinary scientific investigation.[1][2]
Keywords
Quantitative Biology, Computational Biology, Bioinformatics, Data Analysis, Scientific Research, Research Excellence Award, Citation Impact, Academic Recognition, University of Yamanashi, Biological Modeling.
Introduction
Quantitative Biology has emerged as a transformative discipline that integrates mathematical modeling, statistical analysis, computational methods, and biological sciences to address complex biological questions. Researchers working in this field contribute to the interpretation of large-scale biological datasets and the development of predictive models that enhance scientific understanding. Within this context, MD Wasim Bari’s scholarly activities represent a contribution to contemporary computational and quantitative biological research.[2]
Research Profile
MD Wasim Bari is affiliated with the University of Yamanashi in Japan and maintains an active research presence in Quantitative Biology. His Scopus author profile records 11 indexed documents with 73 citations and an h-index of 4, indicating an emerging and growing scholarly footprint within his field.[1]
Research Contributions
The research contributions associated with MD Wasim Bari are situated within the broader domain of computational and quantitative biological analysis. Such work typically involves the development and application of analytical methodologies for interpreting biological data, understanding complex biological systems, and supporting evidence-based scientific discovery. His scholarly activities contribute to the expanding body of literature that links computational methods with biological inquiry.[2]
Publications
The publication record associated with the researcher reflects ongoing engagement with peer-reviewed scientific communication. Indexed scholarly outputs contribute to the dissemination of knowledge, facilitate collaboration, and provide measurable indicators of academic productivity. The available publication portfolio has accumulated citations from subsequent research, indicating scholarly utilization and visibility within related research communities.[1]
Research Impact
Research impact is commonly evaluated through bibliometric indicators including citations, publication quality, and scholarly influence. The citation record associated with MD Wasim Bari indicates that his published research has been referenced by other researchers, suggesting relevance within the scientific community. While quantitative metrics alone do not fully define scientific significance, they provide objective evidence of academic engagement and knowledge dissemination.[1][4]
- 73 citations recorded in Scopus.
- h-index of 4.
- Evidence of scholarly visibility and research dissemination.
- Contribution to ongoing scientific dialogue within Quantitative Biology.
Award Suitability
Based on available bibliometric indicators, institutional affiliation, research specialization, and documented scholarly output, MD Wasim Bari demonstrates characteristics commonly considered in academic recognition programs. His publication record, citation performance, and engagement in Quantitative Biology indicate meaningful participation in scientific research. These factors support consideration for the Research Excellence Award within the Computational Biologists Awards framework, subject to the specific evaluation criteria and peer-review processes established by the award organizers.[1][5]
Conclusion
MD Wasim Bari represents an active researcher within the field of Quantitative Biology, with measurable scholarly output and documented citation impact. His affiliation with the University of Yamanashi and contributions to computational biological research illustrate continued participation in contemporary scientific inquiry. The available evidence supports recognition of his academic efforts and highlights the relevance of his work within the broader computational biology research landscape.[1]
External Links
References
- Elsevier. (n.d.). Scopus author details: MD Wasim Bari, Author ID 57216741890. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57216741890 - IVF culture conditions promote single nucleolus formation and elevate rRNA associated signals during mouse preimplantation development.
https://doi.org/10.1016/j.theriogenology.2026.118016 - Chloroquine inhibits artificial oocyte activation induced by ethanol or Sr2+ but not by sperm in mice.
https://doi.org/10.1262/jrd.2024-089 - Chloroquine mitigates long-term effects of in vitro culture in mouse embryos.
https://doi.org/10.3389/fcell.2025.1640986 - Computational Biologists Awards. (n.d.). Award Program Information and Evaluation Framework.
https://computationalbiologists.com/