Jean-Claude do-Rego
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Reproductive Medicine top 10%
- Co-authors
- Jean CostentinJakub FichnaAnna JaneckaHubert VaudryJérôme LeprinceNicolas ChartrelYoussef AnouarCatherine Llorens‐Cortés
- Topics
- Neuropeptides and Animal Physiology (13 papers)Receptor Mechanisms and Signaling (10 papers)Pain Mechanisms and Treatments (5 papers)
In The Last Decade
Jean-Claude do-Rego
20 papers receiving 565 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 358
- Molecular Biology 335
- Physiology 93
- Endocrine and Autonomic Systems 85
- Reproductive Medicine 78
Countries citing papers authored by Jean-Claude do-Rego
This map shows the geographic impact of Jean-Claude do-Rego'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 do-Rego 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 do-Rego more than expected).
Fields of papers citing papers by Jean-Claude do-Rego
This network shows the impact of papers produced by Jean-Claude do-Rego. 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 do-Rego. The network helps show where Jean-Claude do-Rego may publish in the future.
Co-authorship network of co-authors of Jean-Claude do-Rego
This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Claude do-Rego. A scholar is included among the top collaborators of Jean-Claude do-Rego 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 do-Rego. Jean-Claude do-Rego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 51 | |
| 3 | 27 | |
| 4 | 12 | |
| 5 | 27 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 37 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 25 | |
| 12 | 47 | |
| 13 | 9 | |
| 14 | 25 | |
| 15 | 34 | |
| 16 | 22 | |
| 17 | 164 | |
| 18 | 14 | |
| 19 | 6 | |
| 20 | 9 |
About Jean-Claude do-Rego
Jean-Claude do-Rego is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Geriatrics and Gerontology, having authored 20 papers that have together received 575 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (358 citations), Endocrine and Autonomic Systems (85 citations) and Reproductive Medicine (78 citations). Jean-Claude do-Rego has collaborated with scholars based in France, Poland and Canada. Frequent co-authors include Jean Costentin, Jakub Fichna, Anna Janecka, Hubert Vaudry, Jérôme Leprince, Nicolas Chartrel, Youssef Anouar, Catherine Llorens‐Cortés, Stefan Clerens and Jean‐Claude Beauvillain. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.
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.