Abdeen Tunde Ogunlana
Impact in
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- Computational Drug Discovery Methods
Papers in
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- vaccines and immunoinformatics approaches 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Ubiquitin and proteasome pathways 1
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- Computational Drug Discovery Methods 9
- Co-authors
- Temitope Isaac Adelusi (14 shared papers)Abdul-Quddus Kehinde Oyedele (13 shared papers)Ibrahim Damilare Boyenle (13 shared papers)Misbaudeen Abdul-Hammed (2 shared papers)Mukhtar Oluwaseun Idris (2 shared papers)Ibrahim Olaide Adedotun (1 shared paper)John Olabode Fatoki (1 shared paper)Elijah Kolawole Oladipo (3 shared papers)
- Journals
- Scientific Reports (2 papers)Molecular Diversity (2 papers)Pharmacological Research (1 paper)Neurogenetics (1 paper)Journal of Molecular Modeling (1 paper)
- Partner nations
- NigeriaUnited StatesChina
In The Last Decade
Abdeen Tunde Ogunlana
19 papers receiving 429 citations
Abdeen Tunde Ogunlana's Hit Papers
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 162
- Toxicology 13
- Organic Chemistry 101
- Molecular Biology 202
- Pharmacology 34
Countries citing papers authored by Abdeen Tunde Ogunlana
This map shows the geographic impact of Abdeen Tunde Ogunlana'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 Abdeen Tunde Ogunlana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdeen Tunde Ogunlana more than expected).
Fields of papers citing papers by Abdeen Tunde Ogunlana
This network shows the impact of papers produced by Abdeen Tunde Ogunlana. 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 Abdeen Tunde Ogunlana. The network helps show where Abdeen Tunde Ogunlana may publish in the future.
Co-authors
The 24 scholars most cited alongside Abdeen Tunde Ogunlana, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Molecular modeling in drug discovery Hit paper breakdown → | 2022 | 240 |
| 2 | 2022 | 33 | |
| 3 | 2022 | 31 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2021 | 1 |
About Abdeen Tunde Ogunlana
Abdeen Tunde Ogunlana is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 437 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Click Chemistry and Applications (2 papers), Synthesis and biological activity (2 papers), vaccines and immunoinformatics approaches (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Toxicology (13 citations), Organic Chemistry (101 citations), Molecular Biology (202 citations) and Pharmacology (34 citations). Abdeen Tunde Ogunlana has collaborated with scholars based in Nigeria, United States and China. Frequent co-authors include Temitope Isaac Adelusi, Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, Misbaudeen Abdul-Hammed, Mukhtar Oluwaseun Idris, Ibrahim Olaide Adedotun, John Olabode Fatoki, Elijah Kolawole Oladipo, Abayomi Odetunde and Peter Ifeoluwa Adegbola. Their work appears in journals such as Scientific Reports, Molecular Diversity, Pharmacological Research, Neurogenetics and Journal of Molecular Modeling.
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.