Suzanne Bon
Impact in
- Pharmacology top 0.05%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
Papers in
- Pharmacology 61
- Cholinesterase and Neurodegenerative Diseases 61
-
- Computational Drug Discovery Methods 45
- Co-authors
- Jean Massoulié (59 shared papers)Éric Krejci (6 shared papers)François M. Vallette (2 shared papers)Leo Pezzementi (1 shared paper)François Rieger (8 shared papers)Marc Vigny (5 shared papers)Françoise Coussen (4 shared papers)Jean Cartaud (4 shared papers)
In The Last Decade
Suzanne Bon
67 papers receiving 4.0k citations
Suzanne Bon's Hit Papers
Peers
Comparison fields: 5 of 108
- Pharmacology 3.2k
- Computational Theory and Mathematics 1.7k
- Complementary and alternative medicine 392
- Cellular and Molecular Neuroscience 472
- Plant Science 970
Countries citing papers authored by Suzanne Bon
This map shows the geographic impact of Suzanne Bon'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 Suzanne Bon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Bon more than expected).
Fields of papers citing papers by Suzanne Bon
This network shows the impact of papers produced by Suzanne Bon. 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 Suzanne Bon. The network helps show where Suzanne Bon may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Bon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular and cellular biology of cholinesterases Hit paper breakdown → | 1993 | 1051 |
| 2 | 1976 | 144 | |
| 3 | 1978 | 127 | |
| 4 | 1998 | 125 | |
| 5 | 1993 | 121 | |
| 6 | 1997 | 115 | |
| 7 | 1978 | 103 | |
| 8 | 1993 | 94 | |
| 9 | 1976 | 90 | |
| 10 | 2004 | 89 | |
| 11 | 1997 | 85 | |
| 12 | 1987 | 77 | |
| 13 | 2008 | 75 | |
| 14 | 1996 | 74 | |
| 15 | 1999 | 73 | |
| 16 | 1971 | 69 | |
| 17 | 1997 | 66 | |
| 18 | 1981 | 65 | |
| 19 | 1988 | 62 | |
| 20 | 1973 | 62 |
About Suzanne Bon
Suzanne Bon is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Plant Science and Organic Chemistry, having authored 67 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (61 papers), Computational Drug Discovery Methods (45 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Pesticide Exposure and Toxicity (11 papers), Electrochemical Analysis and Applications (8 papers), Medicinal Plants and Neuroprotection (6 papers), Electrochemical sensors and biosensors (6 papers) and Enzyme function and inhibition (6 papers). The work is most often cited by research in Pharmacology (3.2k citations), Computational Theory and Mathematics (1.7k citations), Complementary and alternative medicine (392 citations), Cellular and Molecular Neuroscience (472 citations) and Plant Science (970 citations). Suzanne Bon has collaborated with scholars based in France, Burundi and Israel. Frequent co-authors include Jean Massoulié, Éric Krejci, François M. Vallette, Leo Pezzementi, François Rieger, Marc Vigny, Françoise Coussen, Jean Cartaud, Israel Silman and Claire Legay. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, FEBS Letters, Journal of Neurochemistry and Chemico-Biological Interactions.
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.