S. Bon

2.2k citations
18 papers · 2.1k · 1 hit paper · h-index 16

Impact in

Papers in

S. Bon

18 papers receiving 2.0k citations

S. Bon's Hit Papers

The Molecular Forms of Cholinesterase and Acetylcholinesterase in Vertebrates 1982 · 770 citations
7700+14+29Years since publication250500750

Peers

S. Bon
Comparison fields: 5 of 87
  • Pharmacology 1.7k
  • Computational Theory and Mathematics 886
  • Complementary and alternative medicine 153
  • Cellular and Molecular Neuroscience 317
  • Plant Science 527
Replace Shelley Camp with:
Shelley Camp United States
Leo Pezzementi United States
Cecilio J. Vidal Spain
Suzanne Bon France
K MacPhee-Quigley United States
Miro Brzin Slovenia
Dalia Ginzberg Israel
A.S. Balasubramanian India
María‐Salud García‐Ayllón Spain
J.Y. Couraud France
S. Bon relative to Shelley Camp United States Shelley Camp's profile →
Citations per field
00.5×1.5×
Shelley Camp · 1×
Citations per year

Countries citing papers authored by S. Bon

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. Bon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Bon more than expected).

Fields of papers citing papers by S. Bon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Bon. The network helps show where S. Bon may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Bon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Bon Line = papers co-authored together S. Bon links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
The Molecular Forms of Cholinesterase and Acetylcholinesterase in Vertebrates
Hit paper breakdown →
1982770
2 1992271
3 1979248
4 1988140
5 1991131
6 1980100
7 198585
8 197975
9 199274
10 199245
11 198226
12 197825
13 199521
14 198917
15 198417
16 199116
17 199114
18 199513

About S. Bon

S. Bon is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Ocean Engineering, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (16 papers), Computational Drug Discovery Methods (8 papers), bioluminescence and chemiluminescence research (4 papers), Marine Biology and Environmental Chemistry (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Pesticide Exposure and Toxicity (2 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Pharmacology (1.7k citations), Computational Theory and Mathematics (886 citations), Complementary and alternative medicine (153 citations), Cellular and Molecular Neuroscience (317 citations) and Plant Science (527 citations). S. Bon has collaborated with scholars based in France, Burundi and United States. Frequent co-authors include Jean Massoulié, Marc Vigny, Éric Krejci, Nathalie Duval, Israel Silman, Michal Harel, Joel L. Sussman, Jean‐Pierre Toutant, Claire Legay and Françoise Coussen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, The Journal of Cell Biology, Biochimie and Neuroscience.

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.

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