Jean-Yves Couraud

32 total papers · 539 total citations
29 papers, 452 citations indexed

About

Jean-Yves Couraud is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jean-Yves Couraud has authored 29 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jean-Yves Couraud's work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (12 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Jean-Yves Couraud is often cited by papers focused on Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (12 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Jean-Yves Couraud collaborates with scholars based in France, United States and United Kingdom. Jean-Yves Couraud's co-authors include Christophe Créminon, Didier Boquet, Anne Wijkhuisen, Jacques Grassi, Yveline Frobert, Luigi Di Giamberardino, Robert Dantzer, Stephen Kent, Fatima Dkhissi and M. Conrath and has published in prestigious journals such as Analytical Chemistry, FEBS Letters and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Jean-Yves Couraud

29 papers receiving 438 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-Yves Couraud 243 158 93 83 60 29 452
John W. Kemp 182 0.7× 117 0.7× 43 0.5× 59 0.7× 31 0.5× 26 426
Uday Singh 130 0.5× 105 0.7× 48 0.5× 91 1.1× 65 1.1× 34 488
Hatsumi Yoshiki 286 1.2× 196 1.2× 16 0.2× 90 1.1× 77 1.3× 33 530
G. C. Budd 238 1.0× 70 0.4× 53 0.6× 44 0.5× 20 0.3× 38 540
L Dénès 163 0.7× 59 0.4× 45 0.5× 88 1.1× 78 1.3× 22 534
Elimelech Nesher 216 0.9× 105 0.7× 17 0.2× 29 0.3× 30 0.5× 22 501
Lu Xue 237 1.0× 66 0.4× 25 0.3× 89 1.1× 26 0.4× 39 490
Eugénie Goupil 326 1.3× 153 1.0× 26 0.3× 44 0.5× 23 0.4× 17 499
Yu Wang 202 0.8× 117 0.7× 21 0.2× 72 0.9× 13 0.2× 40 430
J Talesnik 119 0.5× 63 0.4× 24 0.3× 93 1.1× 77 1.3× 28 471

Countries citing papers authored by Jean-Yves Couraud

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Yves Couraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Yves Couraud

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Yves Couraud. A scholar is included among the top collaborators of Jean-Yves Couraud 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-Yves Couraud. Jean-Yves Couraud 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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