Best Researcher Award

Onwu, Daniel Ocha
Affiliation	University of Cross River State
Country	Nigeria
Google Scholar ID	n6jcvPsAAAAJ
Documents	9
Citations	2
h-index	1
Subject Area	Drug Discovery
Event	International Top Pharmaceutical Awards

Onwu Daniel Ocha – University of Cross River State

Onwu Daniel Ocha is a researcher affiliated with the University of Cross River State (UNICROSS), Calabar, Nigeria. His reported scholarly work is associated with computational biology, bioinformatics, drug discovery, network pharmacology, phytochemical investigation, and computational modelling. The supplied Google Scholar record reports nine documents, two citations, and an h-index of one. The profile also identifies computational biology and bioinformatics among the research areas associated with his scholarly activity.

Abstract

Onwu Daniel Ocha’s research profile reflects interdisciplinary activity connecting computational biology and bioinformatics with pharmaceutical and biomedical investigation. His available publication record includes research on phytochemicals, network pharmacology, computational modelling, biological targets, infectious diseases, and therapeutic investigation. These subjects are relevant to modern drug discovery because computational approaches can support the identification of candidate compounds, molecular targets, pathways, and potential mechanisms of action. His research record therefore demonstrates an emerging connection between computational science and pharmaceutical research. [1]

Keywords

Drug Discovery; Computational Biology; Bioinformatics; Network Pharmacology; Computational Modelling; Molecular Docking; Phytochemicals; Drug Target Identification; Systems Biology; Therapeutic Targeting; Pharmaceutical Research; In-silico Research; Biomedical Informatics.

Introduction

Computational biology and bioinformatics have become important components of modern pharmaceutical research. Computational approaches can be used to examine molecular interactions, biological pathways, disease-associated targets, and candidate therapeutic compounds before or alongside laboratory validation. Network pharmacology is particularly useful for studying complex relationships between compounds, proteins, pathways, and disease mechanisms. These approaches can contribute to the prioritization of potential therapeutic candidates and provide hypotheses for subsequent experimental research [1].

Research Profile

The supplied academic profile identifies Onwu Daniel Ocha with the University of Cross River State (UNICROSS), Calabar, Nigeria. His Google Scholar record reports nine documents, two citations, and an h-index of one. The research areas represented in the supplied profile include computational biology and bioinformatics, while the award profile specifically identifies Drug Discovery as the subject area. This combination places his research at the intersection of computational science and pharmaceutical investigation.[3]

Research Contributions

A notable contribution in the supplied publication record is the study titled In-Silico and Network Pharmacology Analysis of Mimosa invisa Phytochemicals against Testicular Inflammation. The work examines phytochemical compounds using computational approaches to investigate their potential relationships with inflammation-associated biological targets. This research direction is relevant to drug discovery because phytochemicals may provide candidate structures for further pharmacological investigation [3].

Publications

The available publication record demonstrates continuing scholarly activity in computational and biomedical research. Listed publications include studies on Mimosa invisa phytochemicals, biosynthesized silver nanoparticles, Terminalia catappa extracts, Allium cepa bioactive compounds, drug-resistant tuberculosis, Tefairia occidentalis phytocompounds, and computational analysis of antiviral targets. The diversity of these topics indicates an interdisciplinary research approach involving computational methods and biological investigation.[3].

Research Impact

The supplied Google Scholar profile reports two citations and an h-index of one. These bibliometric indicators represent the citation activity recorded by the profile at the time of the supplied document and may change as additional publications are indexed and cited. Therefore, citation indicators should be considered together with publication quality, research relevance, collaboration, and scientific contribution when assessing an emerging researcher.[4].

Award Suitability

The award assessment should nevertheless remain evidence-based and should consider the complete research portfolio, verified publication records, originality, methodological quality, scholarly contribution, collaboration, and the official eligibility criteria established by the award organizers. The available profile demonstrates an emerging publication record rather than providing sufficient evidence for unsupported claims of exceptional impact. This distinction maintains a neutral academic approach to recognition[4].

Conclusion

Onwu Daniel Ocha’s documented research profile demonstrates interdisciplinary activity involving computational biology, bioinformatics, drug discovery, network pharmacology, phytochemicals, and systems biology. The supplied record identifies nine documents, two citations, and an h-index of one, while the listed publications demonstrate research activity across several biomedical and pharmaceutical themes. [1].

External Links

• Google Scholar Profile
• Award Website

References

1. Onwu, D. O., Uraku, O. H., Agbi, M. T., & Uraku, A. J. (2026). In-silico and network pharmacology analysis of Mimosa invisa phytochemicals against testicular inflammation. In Silico Research in Biomedicine, 2, 100274.
   https://doi.org/10.1016/j.insi.2026.100274
2. Onwu, D., Edun, S., Asuquo, U., & Bajepade, T. I. (2025). Antidiabetic potential of biosynthesized silver nanoparticles with fresh guava leaf. Covenant Journal of Physical and Life Sciences, 13(2), 1–6.
   https://journals.covenantuniversity.edu.ng/index.php/cjpls/article/view/4978
3. Onwu, D. O., Kayode, D., Oluwatosin, C. E., Chimaobi, N. G., Johnson, O., et al. (2026). Assessing the effects of aqueous extract of Terminalia catappa on immunoglobulins levels in cyclophosphamide induced immunosuppressant Wistar rats. Next Research, 101441.
   https://doi.org/10.1016/j.nexres.2026.101441
4. Onwu, D. O., Singh, A., Bajpai, Y., Akinlamilo, A. S., Habiganuchi, A., & Ibikunle, F. O. (2025). Host–pathogen interaction mapping in drug-resistant tuberculosis: A systems biology framework for dual therapeutic targeting. Research Square.
   https://doi.org/10.21203/rs.3.rs-7855974/v1
5. Ahmad, A., Nnenna, A. O., Mamman, S., Nwokoro, C., Bello, A. M., Nseabasi, M. A., Abdulwakiil, M., Okpe, J., Onwu, D. O., Agbi, M., & Idoko, A. (2025). In-silico network pharmacology and computational modelling of bioactive compounds from Allium cepa targeting downstream protein effectors in diabetes. Research Square.
   https://doi.org/10.21203/rs.3.rs-8181479/v1