Oyekanmi Nash
- Molecular Biology
- Infectious Diseases
- Computational Theory and Mathematics top 10%
- Complementary and alternative medicine
- Pharmacology
- Co-authors
- Olaposi Idowu OmotuyiBabatunji Emmanuel OyinloyeDong Cho HanByoung‐Mog KwonSegun FatumoKunle OkaiyetoYoon JeonSangho Choi
- Topics
- SARS-CoV-2 and COVID-19 Research (4 papers)Computational Drug Discovery Methods (4 papers)Bioactive Compounds and Antitumor Agents (3 papers)
- Partner nations
- NigeriaSouth AfricaFrance
In The Last Decade
Oyekanmi Nash
22 papers receiving 238 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 74
- Infectious Diseases 64
- Computational Theory and Mathematics 43
- Complementary and alternative medicine 27
- Pharmacology 25
Countries citing papers authored by Oyekanmi Nash
This map shows the geographic impact of Oyekanmi Nash's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Oyekanmi Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oyekanmi Nash more than expected).
Fields of papers citing papers by Oyekanmi Nash
This network shows the impact of papers produced by Oyekanmi Nash. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Oyekanmi Nash. The network helps show where Oyekanmi Nash may publish in the future.
Co-authorship network of co-authors of Oyekanmi Nash
This figure shows the co-authorship network connecting the top 25 collaborators of Oyekanmi Nash. A scholar is included among the top collaborators of Oyekanmi Nash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Oyekanmi Nash. Oyekanmi Nash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 33 | |
| 13 | Methanolic extract of Kigelia africana exhibits antiatherosclerotic effects in endothelial cells by downregulating RAGE and adhesion molecules. | 2 |
| 14 | 5 | |
| 15 | 42 | |
| 16 | 28 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 20 |
About Oyekanmi Nash
Oyekanmi Nash is a scholar working on Toxicology, Business and International Management and Infectious Diseases, having authored 24 papers that have together received 241 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Computational Drug Discovery Methods (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Toxicology (12 citations), Infectious Diseases (64 citations) and Complementary and alternative medicine (27 citations). Oyekanmi Nash has collaborated with scholars based in Nigeria, South Africa and France. Frequent co-authors include Olaposi Idowu Omotuyi, Babatunji Emmanuel Oyinloye, Dong Cho Han, Byoung‐Mog Kwon, Segun Fatumo, Kunle Okaiyeto, Yoon Jeon, Sangho Choi, Olujide O. Olubiyi and Olusegun G. Ademowo. Their work appears in journals such as Emerging infectious diseases, Biochemical Pharmacology and Journal of Computational Chemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.