Florian Nachon

7.9k citations
139 papers · 6.1k indexed · 3 hit papers · h-index 43

Impact in

Papers in

Florian Nachon

136 papers receiving 6.1k citations

Hit Papers

Crystal structures of human cholinesterases in complex with huprine W and tacrine: elements of specificity for anti-Alzheimer's drugs targeting acetyl- and butyryl-cholinesterase 2013 · 398 citations
3982003202620102018200400600

Peers

Florian Nachon
Comparison fields: 5 of 140
  • Pharmacology 4.2k
  • Computational Theory and Mathematics 2.3k
  • Plant Science 2.6k
  • Organic Chemistry 1.7k
  • Pollution 609
Replace Daniel Jun with:
Daniel Jun Czechia
Kamil Musílek Czechia
Lawrence M. Schopfer United States
Zrinka Kovarik Croatia
Ondřej Soukup Czechia
Dov Barak Israel
Lilly Toker Israel
Yacov Ashani Israel
Şükrü Beydemir Türkiye
Jan Korábečný Czechia
Florian Nachon relative to Daniel Jun Czechia Daniel Jun's profile →
Citations per field
00.5×1.5×2.0×
Daniel Jun · 1×
Citations per year

Countries citing papers authored by Florian Nachon

Since Specialization
Citations

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

Fields of papers citing papers by Florian Nachon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Florian Nachon, 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 Florian Nachon Line = papers co-authored together Florian Nachon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20239
4 202110
5 202011
6 201979
7 201839
8 201846
9 201856
10 201715
11 201725
12 2013135
13 201114
14 201147
15 201127
16 201022
17 201085
18 200941
19 200820
20 200623

About Florian Nachon

Florian Nachon is a scholar working on Pharmacology, Computational Theory and Mathematics, Plant Science, Pollution and Health, Toxicology and Mutagenesis, having authored 139 papers that have together received 6.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (110 papers), Pesticide Exposure and Toxicity (74 papers), Computational Drug Discovery Methods (67 papers), Environmental Toxicology and Ecotoxicology (20 papers), Pesticide and Herbicide Environmental Studies (20 papers), Chemical synthesis and alkaloids (19 papers), Insect and Pesticide Research (13 papers) and Enzyme function and inhibition (8 papers). The work is most often cited by research in Pharmacology (4.2k citations), Computational Theory and Mathematics (2.3k citations), Plant Science (2.6k citations), Organic Chemistry (1.7k citations) and Pollution (609 citations). Florian Nachon has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Patrick Masson, Oksana Lockridge, Yvain Nicolet, Pierre‐Yves Renard, Ludovic Jean, Juan C. Fontecilla‐Camps, Xavier Brazzolotto, E. Carletti, Marie Trovaslet and Lawrence M. Schopfer. Their work appears in journals such as Chemico-Biological Interactions, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Chemical Research in Toxicology and Molecules.

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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