Benoît Sanson
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
- Cannabis and Cannabinoid Research
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- Computational Drug Discovery Methods
Papers in
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- Cholinesterase and Neurodegenerative Diseases 6
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- Computational Drug Discovery Methods 5
- Co-authors
- Martin H. Weik (7 shared papers)Jacques‐Philippe Colletier (6 shared papers)Joel L. Sussman (4 shared papers)Israel Silman (4 shared papers)Florian Nachon (4 shared papers)Didier Fournier (2 shared papers)Patrick Masson (2 shared papers)Dominique Bourgeois (2 shared papers)
- Journals
- European Journal of Medicinal Chemistry (1 paper)Biosensors and Bioelectronics (1 paper)Journal of the American Chemical Society (1 paper)Protein Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- FranceIsraelUnited States
In The Last Decade
Benoît Sanson
8 papers receiving 409 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 263
- Computational Theory and Mathematics 123
- Structural Biology 6
- Plant Science 156
- Insect Science 48
Countries citing papers authored by Benoît Sanson
This map shows the geographic impact of Benoît Sanson'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 Benoît Sanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît Sanson more than expected).
Fields of papers citing papers by Benoît Sanson
This network shows the impact of papers produced by Benoît Sanson. 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 Benoît Sanson. The network helps show where Benoît Sanson may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît Sanson, 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 | 2009 | 76 | |
| 2 | 2014 | 69 | |
| 3 | 2011 | 63 | |
| 4 | 2006 | 47 | |
| 5 | 2014 | 46 | |
| 6 | 2008 | 46 | |
| 7 | 2007 | 38 | |
| 8 | 2008 | 28 |
About Benoît Sanson
Benoît Sanson is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Plant Science and Pathology and Forensic Medicine, having authored 8 papers that have together received 413 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (6 papers), Computational Drug Discovery Methods (5 papers), Pesticide Exposure and Toxicity (3 papers), Enzyme function and inhibition (2 papers), Alcohol Consumption and Health Effects (1 paper), Forensic Toxicology and Drug Analysis (1 paper), Environmental Toxicology and Ecotoxicology (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Pharmacology (263 citations), Computational Theory and Mathematics (123 citations), Structural Biology (6 citations), Plant Science (156 citations) and Insect Science (48 citations). Benoît Sanson has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Martin H. Weik, Jacques‐Philippe Colletier, Joel L. Sussman, Israel Silman, Florian Nachon, Didier Fournier, Patrick Masson, Dominique Bourgeois, Hualiang Jiang and Yechun Xu. Their work appears in journals such as European Journal of Medicinal Chemistry, Biosensors and Bioelectronics, Journal of the American Chemical Society, Protein Science and Proceedings of the National Academy of 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.