Jean‐Paul Ribet

22 total papers · 461 total citations
18 papers, 385 citations indexed

About

Jean‐Paul Ribet is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Jean‐Paul Ribet has authored 18 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Spectroscopy, 7 papers in Molecular Biology and 5 papers in Biomedical Engineering. Recurrent topics in Jean‐Paul Ribet's work include Analytical Chemistry and Chromatography (11 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Molecular spectroscopy and chirality (4 papers). Jean‐Paul Ribet is often cited by papers focused on Analytical Chemistry and Chromatography (11 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers) and Molecular spectroscopy and chirality (4 papers). Jean‐Paul Ribet collaborates with scholars based in France and Germany. Jean‐Paul Ribet's co-authors include Philippe Morin, Jacques Fahy, Alain Duflos, Jean‐Claude Jacquesy, Marie‐Paule Jouannetaud, Raphaël Delépée, Jean‐Claude Maurizot, M. Dreux, Marie‐Bernadette Assié and Laurent Bardin and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Pharmacology and Experimental Therapeutics and Journal of Chromatography A.

In The Last Decade

Jean‐Paul Ribet

18 papers receiving 376 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‐Paul Ribet 173 101 92 86 68 18 385
J S Kasher 123 0.7× 203 2.0× 35 0.4× 107 1.2× 85 1.3× 11 410
Yveline Henchoz 189 1.1× 90 0.9× 69 0.8× 57 0.7× 26 0.4× 10 379
Carol N. Manners 136 0.8× 178 1.8× 22 0.2× 73 0.8× 65 1.0× 9 407
David Greatbanks 133 0.8× 137 1.4× 48 0.5× 99 1.2× 25 0.4× 19 412
Károly Mazák 133 0.8× 149 1.5× 21 0.2× 95 1.1× 55 0.8× 33 394
Gordon W. Halstead 111 0.6× 71 0.7× 23 0.3× 58 0.7× 56 0.8× 19 369
P. Bresloff 163 0.9× 92 0.9× 42 0.5× 35 0.4× 43 0.6× 8 367
Kevin L. Facchine 130 0.8× 113 1.1× 37 0.4× 110 1.3× 19 0.3× 17 430
Naomi I. Nakano 117 0.7× 174 1.7× 27 0.3× 56 0.7× 28 0.4× 27 367
Dauh‐Rurng Wu 240 1.4× 132 1.3× 113 1.2× 64 0.7× 38 0.6× 31 376

Countries citing papers authored by Jean‐Paul Ribet

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Paul Ribet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Paul Ribet. 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‐Paul Ribet. The network helps show where Jean‐Paul Ribet may publish in the future.

Co-authorship network of co-authors of Jean‐Paul Ribet

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