Samuel Egieyeh
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- Computational Drug Discovery Methods 13
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- Microbial Natural Products and Biosynthesis 5
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- Microbial Natural Products and Biosynthesis 5
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- Natural Antidiabetic Agents Studies 4
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- vaccines and immunoinformatics approaches 4
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- Malaria Research and Control 4
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- SARS-CoV-2 and COVID-19 Research 2
- Tuberculosis Research and Epidemiology 2
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- Synthesis and biological activity 2
- Co-authors
- Alan ChristoffelsSarel F. MalanJames SyceGerald J. WyckoffJelili A. BadmusAhmed A. HusseinAdewale Oluwaseun FadakaBurtram C. Fielding
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)Molecules (3 papers)
- Partner nations
- South AfricaNigeriaBelgium
In The Last Decade
Samuel Egieyeh
27 papers receiving 304 citations
Peers
Comparison fields: 5 of 86
- Computational Theory and Mathematics 109
- Biochemistry 24
- Pharmacology 27
- Pharmacology 43
- Endocrinology, Diabetes and Metabolism 42
Countries citing papers authored by Samuel Egieyeh
This map shows the geographic impact of Samuel Egieyeh'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 Samuel Egieyeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Egieyeh more than expected).
Fields of papers citing papers by Samuel Egieyeh
This network shows the impact of papers produced by Samuel Egieyeh. 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 Samuel Egieyeh. The network helps show where Samuel Egieyeh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samuel Egieyeh, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 35 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 18 | |
| 14 | 2022 | 22 | |
| 15 | 2021 | 25 | |
| 16 | 2021 | 21 | |
| 17 | 2021 | 4 | |
| 18 | 2018 | 31 | |
| 19 | 2016 | 30 | |
| 20 | 2016 | 5 |
About Samuel Egieyeh
Samuel Egieyeh is a scholar working on Computational Theory and Mathematics, Pharmacology and Pharmacology, having authored 28 papers that have together received 316 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Microbial Natural Products and Biosynthesis (5 papers), vaccines and immunoinformatics approaches (4 papers), Natural Antidiabetic Agents Studies (4 papers), Malaria Research and Control (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Biochemistry (24 citations) and Pharmacology (27 citations). Samuel Egieyeh has collaborated with scholars based in South Africa, Nigeria and Belgium. Frequent co-authors include Alan Christoffels, Sarel F. Malan, James Syce, Gerald J. Wyckoff, Jelili A. Badmus, Ahmed A. Hussein, Adewale Oluwaseun Fadaka, Burtram C. Fielding, Jeanine L. Marnewick and Admire Dube. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.
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.