Manon Réau
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
Papers in
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- Computational Drug Discovery Methods 9
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- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 2
- Co-authors
- Alexandre M. J. J. Bonvin (4 shared papers)Li C. Xue (2 shared papers)Nicolas Renaud (2 shared papers)Matthieu Montès (7 shared papers)Jean‐François Zagury (5 shared papers)Nathalie Lagarde (6 shared papers)Sonja Georgievska (1 shared paper)Cunliang Geng (2 shared papers)
- Journals
- Frontiers in Pharmacology (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- FranceNetherlandsRomania
In The Last Decade
Manon Réau
12 papers receiving 344 citations
Peers
Comparison fields: 5 of 80
- Computational Theory and Mathematics 168
- Molecular Biology 202
- Biophysics 12
- Materials Chemistry 70
- Pharmacology 23
Countries citing papers authored by Manon Réau
This map shows the geographic impact of Manon Réau'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 Manon Réau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manon Réau more than expected).
Fields of papers citing papers by Manon Réau
This network shows the impact of papers produced by Manon Réau. 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 Manon Réau. The network helps show where Manon Réau may publish in the future.
Co-authors
The 25 scholars most cited alongside Manon Réau, 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 | 2022 | 106 | |
| 2 | 2018 | 89 | |
| 3 | 2021 | 83 | |
| 4 | 2018 | 20 | |
| 5 | 2021 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2017 | 7 | |
| 10 | 2019 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2021 | 1 |
About Manon Réau
Manon Réau is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Pharmacology and Genetics, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Estrogen and related hormone effects (3 papers), Receptor Mechanisms and Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (168 citations), Molecular Biology (202 citations), Biophysics (12 citations), Materials Chemistry (70 citations) and Pharmacology (23 citations). Manon Réau has collaborated with scholars based in France, Netherlands and Romania. Frequent co-authors include Alexandre M. J. J. Bonvin, Li C. Xue, Nicolas Renaud, Matthieu Montès, Jean‐François Zagury, Nathalie Lagarde, Sonja Georgievska, Cunliang Geng, Francesco Ambrosetti and Lars Ridder. Their work appears in journals such as Frontiers in Pharmacology, Nature Communications, Bioinformatics, Proteins Structure Function and Bioinformatics and Frontiers in Endocrinology.
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.