Jean-Claude Cuber
- Cellular and Molecular Neuroscience top 2%
- Surgery top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Co-authors
- Pascale PlaisanciéJ.A. ChayvialleChristine BernardV DumoulinTaoufiq DakkaJean‐Alain ChayvialleCharles‐Henri MalbertPatrick Kitabgi
- Topics
- Neuropeptides and Animal Physiology (42 papers)Receptor Mechanisms and Signaling (16 papers)Peptidase Inhibition and Analysis (9 papers)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
Jean-Claude Cuber
58 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 86
- Cellular and Molecular Neuroscience 642
- Surgery 555
- Molecular Biology 553
- Endocrinology, Diabetes and Metabolism 469
- Physiology 315
Countries citing papers authored by Jean-Claude Cuber
This map shows the geographic impact of Jean-Claude Cuber'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 Cuber 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 Cuber more than expected).
Fields of papers citing papers by Jean-Claude Cuber
This network shows the impact of papers produced by Jean-Claude Cuber. 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 Cuber. The network helps show where Jean-Claude Cuber may publish in the future.
Co-authorship network of co-authors of Jean-Claude Cuber
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Claude Cuber. A scholar is included among the top collaborators of Jean-Claude Cuber 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 Cuber. Jean-Claude Cuber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Bezpieczeństwo maszyn i urządzeń wprowadzanych na rynek Unii Europejskiej w kontekście obowiązującego prawa | 0 |
| 2 | 16 | |
| 3 | 72 | |
| 4 | 26 | |
| 5 | 135 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 29 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | 28 | |
| 16 | 43 | |
| 17 | 10 | |
| 18 | 28 | |
| 19 | 27 | |
| 20 | 27 |
About Jean-Claude Cuber
Jean-Claude Cuber is a scholar working on Cellular and Molecular Neuroscience, Gastroenterology and Reproductive Medicine, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (42 papers), Receptor Mechanisms and Signaling (16 papers) and Peptidase Inhibition and Analysis (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (296 citations), Cellular and Molecular Neuroscience (642 citations) and Gastroenterology (187 citations). Jean-Claude Cuber has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Pascale Plaisancié, J.A. Chayvialle, Christine Bernard, V Dumoulin, Taoufiq Dakka, J.A. Chayvialle, Jean‐Alain Chayvialle, Charles‐Henri Malbert, Patrick Kitabgi and Jacques Abello. Their work appears in journals such as The Journal of Immunology, The Journal of Physiology and Diabetes.
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.