Jean Camus

966 citations
35 papers · 840 indexed · h-index 22

Impact in

Papers in

Jean Camus

34 papers receiving 780 citations

Peers

Jean Camus
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 468
  • Molecular Biology 590
  • Physiology 34
  • Endocrinology, Diabetes and Metabolism 95
  • Reproductive Medicine 33
Replace G�nter Schultz with:
G�nter Schultz Germany
Charles Woodard United States
Donald V. Daniels United States
Motoo Oka Japan
Lisa S. Beavers United States
Wesley L. Terasaki United States
Pierre Chaillet France
Beavo Ja United States
Elizabeth Wilk United States
Hubert Clauser France
Jean Camus relative to G�nter Schultz Germany G�nter Schultz's profile →
Citations per field
00.5×1.5×2.1×
G�nter Schultz · 1×
Citations per year

Countries citing papers authored by Jean Camus

Since Specialization
Citations

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

Fields of papers citing papers by Jean Camus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199232
2 199126
3 199021
4 19880
5 198830
6 198821
7 198725
8 198610
9 19851
10 198533
11 198432
12 198444
13 198355
14 198310
15 197971
16
The pituitary VIP-sensitive adenylate cyclase
19792
17 197824
18
Regulation of the dissociation of [3H] caerulein from its pancreatic receptors: evidence for negative cooperativity
19763
19 197515
20 197422

About Jean Camus

Jean Camus is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 35 papers that have together received 840 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (19 papers), Pancreatic function and diabetes (8 papers), Lipid Membrane Structure and Behavior (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Adenosine and Purinergic Signaling (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (468 citations), Molecular Biology (590 citations), Physiology (34 citations), Endocrinology, Diabetes and Metabolism (95 citations) and Reproductive Medicine (33 citations). Jean Camus has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Jean Christophe, Patrick Robberecht, Magalì Waelbroeck, Philippe De Neef, M Deschodt-Lanckman, Monique Lambert, M. Tastenoy, Michal Svoboda, G. Taton and Myriam Delhaye. Their work appears in journals such as Peptides, FEBS Letters, European Journal of Biochemistry, Biochemical Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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