J. Besson

1.2k citations
30 papers · 860 · h-index 15

Impact in

Papers in

J. Besson

29 papers receiving 793 citations

Peers

J. Besson
Comparison fields: 5 of 55
  • Cellular and Molecular Neuroscience 742
  • Endocrine and Autonomic Systems 133
  • Reproductive Medicine 151
  • Behavioral Neuroscience 46
  • Endocrinology, Diabetes and Metabolism 166
Replace Akira Arimura with:
Akira Arimura United States
Hideo Minagawa Japan
Yoshiko Iwasaki Japan
Claudia Bouvier United States
Yoshihito Okamura Japan
Romano Puviani Canada
Gregory H. Shen United States
P. G. Andreis Italy
Anders Luts Sweden
NICKI WHITE United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by J. Besson

Since Specialization
Citations

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

Fields of papers citing papers by J. Besson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979148
2 1978141
3 198684
4 197977
5 197862
6 198253
7 198536
8 198136
9 198433
10 198029
11 198228
12 198228
13 197822
14 198814
15 198714
16 198711
17 198111
18
[Radioautographic localization of neuropeptide receptors in the central nervous system].
19857
19 19836
20
[Vasoactive intestinal peptide (VIP): specific receptors and adenylate cyclase activation in a human prolactin-secreting pituitary tumor].
19795

About J. Besson

J. Besson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Surgery, Social Psychology and Endocrine and Autonomic Systems, having authored 30 papers that have together received 860 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Receptor Mechanisms and Signaling (11 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (10 papers), Neuroendocrine regulation and behavior (4 papers), Regulation of Appetite and Obesity (3 papers), Diabetes Treatment and Management (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (742 citations), Endocrine and Autonomic Systems (133 citations), Reproductive Medicine (151 citations), Behavioral Neuroscience (46 citations) and Endocrinology, Diabetes and Metabolism (166 citations). J. Besson has collaborated with scholars based in France and Hungary. Frequent co-authors include G Rosselin, W.H. Rotsztejn, William Rostène, Marc Laburthe, Jacques Epelbaum, A Enjalbert, Sandor Arancibia, Merle Ruberg, D. Bataille and Claude Kordon. Their work appears in journals such as Brain Research, European Journal of Endocrinology, Neuroendocrinology, European Journal of Pharmacology and Regulatory Peptides.

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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