Jean Marie Besson

1.6k citations
14 papers · 1.3k indexed · h-index 14
Topics
Pain Mechanisms and Treatments (9 papers)Neuropeptides and Animal Physiology (6 papers)Nerve injury and regeneration (3 papers)
Partner nations
France

In The Last Decade

Jean Marie Besson

14 papers receiving 1.2k citations

Peers

Jean Marie Besson
Comparison fields: 5 of 70
  • Physiology 945
  • Cellular and Molecular Neuroscience 661
  • Cognitive Neuroscience 213
  • Pharmacology 194
  • Molecular Biology 150
Replace Athmane Chaouch with:
Athmane Chaouch France
Gideon Urca Israel
Frank M. Clark United States
Edmund G. Anderson United States
Ian D. Hentall United States
H. K. Proudfit United States
J. M. Chung United States
Jean-Louis Olivéras France
Robert W. Sikes United States
Seung Kil Hong South Korea
Jean Marie Besson relative to Athmane Chaouch France Athmane Chaouch's profile →
Citations per field
00.5×1.5×2.3×
Athmane Chaouch · 1×
Citations per year

Countries citing papers authored by Jean Marie Besson

Since Specialization
Citations

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

Fields of papers citing papers by Jean Marie Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean Marie Besson. 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 Jean Marie Besson. The network helps show where Jean Marie Besson may publish in the future.

Co-authorship network of co-authors of Jean Marie Besson

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Marie Besson. A scholar is included among the top collaborators of Jean Marie Besson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean Marie Besson. Jean Marie Besson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 64
2 19
3 40
4 58
5 134
6 204
7 30
8 115
9 74
10 67
11 137
12 53
13 130
14 125

About Jean Marie Besson

Jean Marie Besson is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Neuropeptides and Animal Physiology (6 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Physiology (945 citations), Cellular and Molecular Neuroscience (661 citations) and Behavioral Neuroscience (72 citations). Jean Marie Besson has collaborated with scholars based in France. Frequent co-authors include D. Menétrey, Daniel Le Bars, Anthony H. Dickenson, G. Guilbaud, Djamel Chitour, Athmane Chaouch, Glenn J. Giesler, Marc Peschanski, Bernard Calvino and Patrick W. Mantyh. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research 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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