Jean-Claude do-Rego

21 total papers · 693 total citations
20 papers, 575 citations indexed

About

Jean-Claude do-Rego is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Jean-Claude do-Rego has authored 20 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Jean-Claude do-Rego's work include Neuropeptides and Animal Physiology (13 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (5 papers). Jean-Claude do-Rego is often cited by papers focused on Neuropeptides and Animal Physiology (13 papers), Receptor Mechanisms and Signaling (10 papers) and Pain Mechanisms and Treatments (5 papers). Jean-Claude do-Rego collaborates with scholars based in France, Poland and Canada. Jean-Claude do-Rego's co-authors include Jean Costentin, Jakub Fichna, Anna Janecka, Hubert Vaudry, Jérôme Leprince, Catherine Llorens‐Cortés, Jean‐Claude Beauvillain, Nicolas Chartrel, Youssef Anouar and Stefan Clerens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Jean-Claude do-Rego

20 papers receiving 565 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-Claude do-Rego 359 335 93 86 78 20 575
Richard L. Taylor 318 0.9× 323 1.0× 104 1.1× 66 0.8× 162 2.1× 19 666
Jari A Larm 436 1.2× 351 1.0× 43 0.5× 177 2.1× 105 1.3× 11 686
Nicole Zsürger 364 1.0× 398 1.2× 111 1.2× 82 1.0× 82 1.1× 17 686
K. Tsuruta 458 1.3× 422 1.3× 76 0.8× 66 0.8× 41 0.5× 11 685
Paul D. Pezalla 357 1.0× 250 0.7× 214 2.3× 89 1.0× 31 0.4× 19 594
Jill A. Stivers 375 1.0× 294 0.9× 172 1.8× 78 0.9× 39 0.5× 13 648
Lauren M. Stein 207 0.6× 230 0.7× 193 2.1× 209 2.4× 58 0.7× 34 689
A. Verhofstad 427 1.2× 243 0.7× 223 2.4× 82 1.0× 31 0.4× 14 598
Mia Engström 346 1.0× 262 0.8× 86 0.9× 48 0.6× 126 1.6× 14 600
Friedhelm Feth 231 0.6× 368 1.1× 60 0.6× 67 0.8× 16 0.2× 28 563

Countries citing papers authored by Jean-Claude do-Rego

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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