Abdeen Tunde Ogunlana

628 total citations · 1 hit paper
19 papers, 413 citations indexed

About

Abdeen Tunde Ogunlana is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Abdeen Tunde Ogunlana has authored 19 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Oncology. Recurrent topics in Abdeen Tunde Ogunlana's work include Computational Drug Discovery Methods (9 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Abdeen Tunde Ogunlana is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Abdeen Tunde Ogunlana collaborates with scholars based in Nigeria, United States and China. Abdeen Tunde Ogunlana's co-authors include Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, Temitope Isaac Adelusi, Misbaudeen Abdul-Hammed, Mukhtar Oluwaseun Idris, Elijah Kolawole Oladipo, Ibrahim Olaide Adedotun, Xiaoxing Yin, John Olabode Fatoki and Adeyinka G. Falusi and has published in prestigious journals such as Scientific Reports, Pharmacological Research and Journal of Molecular Structure.

In The Last Decade

Abdeen Tunde Ogunlana

19 papers receiving 402 citations

Hit Papers

Molecular modeling in drug discovery 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Abdeen Tunde Ogunlana Nigeria 9 212 169 103 49 35 19 413
Abdul-Quddus Kehinde Oyedele Nigeria 9 200 0.9× 168 1.0× 101 1.0× 42 0.9× 35 1.0× 14 391
Ibrahim Damilare Boyenle Nigeria 10 261 1.2× 185 1.1× 116 1.1× 48 1.0× 40 1.1× 20 485
Gihwan Lee South Korea 15 273 1.3× 159 0.9× 93 0.9× 52 1.1× 52 1.5× 39 497
Mukhtar Oluwaseun Idris China 8 227 1.1× 198 1.2× 123 1.2× 35 0.7× 38 1.1× 13 458
Ugo Perricone Italy 15 316 1.5× 188 1.1× 134 1.3× 38 0.8× 40 1.1× 40 545
Biswajit Kundu India 10 224 1.1× 96 0.6× 151 1.5× 60 1.2× 39 1.1× 17 411
Pradeep Anand Ravindranath United States 3 308 1.5× 209 1.2× 71 0.7× 53 1.1× 49 1.4× 10 516
Ákos Tarcsay Hungary 11 282 1.3× 244 1.4× 123 1.2× 51 1.0× 36 1.0× 16 521
Zhenting Gao China 7 360 1.7× 164 1.0× 68 0.7× 48 1.0× 47 1.3× 11 534
Ji-Xia Ren China 10 235 1.1× 192 1.1× 136 1.3× 61 1.2× 33 0.9× 21 451

Countries citing papers authored by Abdeen Tunde Ogunlana

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Abdeen Tunde Ogunlana

This figure shows the co-authorship network connecting the top 25 collaborators of Abdeen Tunde Ogunlana. A scholar is included among the top collaborators of Abdeen Tunde Ogunlana 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 Abdeen Tunde Ogunlana. Abdeen Tunde Ogunlana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Adelusi, Temitope Isaac, Abdeen Tunde Ogunlana, Olamide Tosin Olaoba, et al.. (2025). Designing of an innovative conserved multiepitope subunit vaccine targeting SARS-CoV-2 glycoprotein and nucleoprotein through immunoinformatic. Scientific Reports. 15(1). 2563–2563. 1 indexed citations
2.
3.
6.
Ogunlana, Abdeen Tunde, et al.. (2023). Structure-based computational design of novel covalent binders for the treatment of sickle cell disease. Journal of Molecular Graphics and Modelling. 124. 108549–108549. 9 indexed citations
7.
Oyedele, Abdul-Quddus Kehinde, et al.. (2023). The discovery of some promising putative binders of KRAS G12D receptor using computer-aided drug discovery approach. Informatics in Medicine Unlocked. 37. 101170–101170. 5 indexed citations
8.
Boyenle, Ibrahim Damilare, et al.. (2022). Reinstating apoptosis using putative Bcl-xL natural product inhibitors: Molecular docking and ADMETox profiling investigations. Journal of Taibah University Medical Sciences. 18(3). 461–469. 5 indexed citations
9.
Oyedele, Abdul-Quddus Kehinde, et al.. (2022). Pharmacophoric analogs of sotorasib-entrapped KRAS G12C in its inactive GDP-bound conformation: covalent docking and molecular dynamics investigations. Molecular Diversity. 27(4). 1795–1807. 8 indexed citations
10.
Oyedele, Abdul-Quddus Kehinde, et al.. (2022). Docking covalent targets for drug discovery: stimulating the computer-aided drug design community of possible pitfalls and erroneous practices. Molecular Diversity. 27(4). 1879–1903. 28 indexed citations
11.
Oyedele, Abdul-Quddus Kehinde, et al.. (2022). Integrated virtual screening and molecular dynamics simulation revealed promising drug candidates of p53-MDM2 interaction. Journal of Molecular Modeling. 28(6). 142–142. 13 indexed citations
12.
Ogunlana, Abdeen Tunde, et al.. (2022). Checkpoints and immunity in cancers: Role of GNG12. Pharmacological Research. 180. 106242–106242. 14 indexed citations
13.
Boyenle, Ibrahim Damilare, et al.. (2022). Targeting the mitochondrial permeability transition pore for drug discovery: Challenges and opportunities. Mitochondrion. 63. 57–71. 33 indexed citations
14.
Adelusi, Temitope Isaac, Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, et al.. (2022). Molecular modeling in drug discovery. Informatics in Medicine Unlocked. 29. 100880–100880. 226 indexed citations breakdown →
15.
Ogunlana, Abdeen Tunde, et al.. (2022). Computer-aided drug design of some KRAS G12C inhibitors: Targeting the covalent and allosteric binding site for cancer therapy. Informatics in Medicine Unlocked. 32. 101032–101032. 12 indexed citations
16.
Oyedele, Abdul-Quddus Kehinde, et al.. (2022). Promising disruptors of p53-MDM2 dimerization from some medicinal plant phytochemicals: a molecular modeling study. Journal of Biomolecular Structure and Dynamics. 41(12). 5817–5826. 4 indexed citations
17.
Boyenle, Ibrahim Damilare, et al.. (2021). Consensus scoring-based virtual screening and molecular dynamics simulation of some TNF-alpha inhibitors. Informatics in Medicine Unlocked. 28. 100833–100833. 23 indexed citations
18.
Adelusi, Temitope Isaac, Abdul-Quddus Kehinde Oyedele, Ibrahim Damilare Boyenle, et al.. (2021). Dietary polyphenols mitigate SARS-CoV-2 main protease (Mpro)–Molecular dynamics, molecular mechanics, and density functional theory investigations. Journal of Molecular Structure. 1250. 131879–131879. 21 indexed citations
19.
Balogun, Toheeb A., et al.. (2021). Phytochemical based sestrin2 pharmacological modulators in the treatment of adenocarcinomas. Phytomedicine Plus. 1(4). 100133–100133. 1 indexed citations

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.

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