Jean-Claude Camus
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Surgery
- Co-authors
- Patrick RobberechtJean ChristophePhilippe De NeefMagalì WaelbroeckDavid H. CoyPierre ChatelainMark L. HeimanMyriam Delhaye
- Topics
- Receptor Mechanisms and Signaling (16 papers)Neuropeptides and Animal Physiology (16 papers)Chemical Synthesis and Analysis (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrinology, Diabetes and MetabolismEndocrine and Autonomic Systems
- Partner nations
- BelgiumUnited StatesSweden
In The Last Decade
Jean-Claude Camus
25 papers receiving 698 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 505
- Molecular Biology 446
- Endocrinology, Diabetes and Metabolism 172
- Physiology 113
- Surgery 103
Countries citing papers authored by Jean-Claude Camus
This map shows the geographic impact of Jean-Claude 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-Claude 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-Claude Camus more than expected).
Fields of papers citing papers by Jean-Claude Camus
This network shows the impact of papers produced by Jean-Claude 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-Claude Camus. The network helps show where Jean-Claude Camus may publish in the future.
Co-authorship network of co-authors of Jean-Claude Camus
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Claude Camus. A scholar is included among the top collaborators of Jean-Claude Camus 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-Claude Camus. Jean-Claude Camus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 23 | |
| 5 | 43 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 70 | |
| 11 | 131 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 13 | |
| 15 | 28 | |
| 16 | 57 | |
| 17 | 22 | |
| 18 | 74 | |
| 19 | 24 | |
| 20 | 27 |
About Jean-Claude Camus
Jean-Claude Camus is a scholar working on Cellular and Molecular Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 724 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (16 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (505 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Endocrine and Autonomic Systems (44 citations). Jean-Claude Camus has collaborated with scholars based in Belgium, United States and Sweden. Frequent co-authors include Patrick Robberecht, Jean Christophe, Philippe De Neef, Magalì Waelbroeck, David H. Coy, Pierre Chatelain, Pierre Chatelain, Mark L. Heiman, Myriam Delhaye and G. Taton. Their work appears in journals such as FEBS Letters, Endocrinology and European Journal of Biochemistry.
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.