Eugène Megnassan
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- Computational Drug Discovery Methods 19
- Pharmacology top 10%
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- Chemical Synthesis and Analysis 7
- vaccines and immunoinformatics approaches 4
- Cancer therapeutics and mechanisms 4
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- Tuberculosis Research and Epidemiology 7
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- Malaria Research and Control 5
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- Click Chemistry and Applications 4
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- Peptidase Inhibition and Analysis 4
- Co-authors
- L. C. Owono OwonoFidele Ntie‐KangWolfgang SipplSimon M. N. EfangeLuc Meva’a MbazeStanislav MiertušVladimı́r FrecerLydia L. Lifongo
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Agricultural and Food Chemistry (1 paper)International Journal of Molecular Sciences (3 papers)
- Partner nations
- Ivory CoastSlovakiaCameroon
In The Last Decade
Eugène Megnassan
32 papers receiving 573 citations
Peers
Comparison fields: 5 of 69
- Computational Theory and Mathematics 254
- Pharmacology 53
- Pharmacology 81
- Molecular Biology 314
- Infectious Diseases 81
Countries citing papers authored by Eugène Megnassan
This map shows the geographic impact of Eugène Megnassan'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 Eugène Megnassan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugène Megnassan more than expected).
Fields of papers citing papers by Eugène Megnassan
This network shows the impact of papers produced by Eugène Megnassan. 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 Eugène Megnassan. The network helps show where Eugène Megnassan may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Eugène Megnassan, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 4 | |
| 13 | 2018 | 7 | |
| 14 | 2017 | 10 | |
| 15 | 2015 | 14 | |
| 16 | 2013 | 35 | |
| 17 | 2013 | 70 | |
| 18 | 2013 | 100 | |
| 19 | 2012 | 19 | |
| 20 | 2011 | 22 |
About Eugène Megnassan
Eugène Megnassan is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 38 papers that have together received 592 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Chemical Synthesis and Analysis (7 papers), Tuberculosis Research and Epidemiology (7 papers), Malaria Research and Control (5 papers), Click Chemistry and Applications (4 papers), vaccines and immunoinformatics approaches (4 papers), Cancer therapeutics and mechanisms (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (254 citations), Pharmacology (53 citations) and Pharmacology (81 citations). Eugène Megnassan has collaborated with scholars based in Ivory Coast, Slovakia and Cameroon. Frequent co-authors include L. C. Owono Owono, Fidele Ntie‐Kang, Wolfgang Sippl, Simon M. N. Efange, Luc Meva’a Mbaze, Stanislav Miertuš, Vladimı́r Frecer, Lydia L. Lifongo, Philip N. Judson and James A. Mbah. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.
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.