Benoit Michot

819 citations
29 papers · 660 · h-index 14

Impact in

Papers in

Benoit Michot

28 papers receiving 652 citations

Peers

Benoit Michot
Comparison fields: 5 of 76
  • Physiology 319
  • Cellular and Molecular Neuroscience 201
  • Sensory Systems 50
  • Complementary and Manual Therapy 9
  • Pharmacology 36
Replace Homa Shardi Manaheji with:
Homa Shardi Manaheji Iran
Elisângela Bressan Brazil
Lindsey A. Chew United States
Qinghao Xu United States
Ulrike Zeilhofer Switzerland
Tal Hoffmann Germany
Carrie V. Vause United States
Gilson Gonçalves dos Santos United States
Inge Petter Kleggetveit Norway
Karine Thibault France
Benoit Michot relative to Homa Shardi Manaheji Iran Homa Shardi Manaheji's profile →
Citations per field
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Homa Shardi Manaheji · 1×
Citations per year

Countries citing papers authored by Benoit Michot

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Michot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 200476
3 201253
4 201247
5 202135
6 200934
7 201729
8 201326
9 202025
10 201424
11 202223
12 201523
13 201823
14 201216
15 202313
16 202112
17 202312
18 201712
19 201710
20 20239

About Benoit Michot

Benoit Michot is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pharmacology, Neurology and Sensory Systems, having authored 29 papers that have together received 660 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (17 papers), Neuropeptides and Animal Physiology (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Ion Channels and Receptors (3 papers), Plant-based Medicinal Research (3 papers), Nerve injury and regeneration (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (319 citations), Cellular and Molecular Neuroscience (201 citations), Sensory Systems (50 citations), Complementary and Manual Therapy (9 citations) and Pharmacology (36 citations). Benoit Michot has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Sylvie Bourgoin, M. Hamon, Jennifer Lynn Gibbs, Valérie Kayser, Sharon M. Casey, Vale´rie Kayser, José Miguel Vela, Caroline Sunyong Lee, Marie Legendre and Amaury Lambert. Their work appears in journals such as European Journal of Pain, Neuropharmacology, European Neuropsychopharmacology, Journal of Endodontics and Pain.

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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