Jean‐Claude Davin

46 total papers · 2.2k total citations
35 papers, 1.4k citations indexed

About

Jean‐Claude Davin is a scholar working on Nephrology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jean‐Claude Davin has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nephrology, 17 papers in Immunology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jean‐Claude Davin's work include Renal Diseases and Glomerulopathies (21 papers), Complement system in diseases (13 papers) and Vasculitis and related conditions (8 papers). Jean‐Claude Davin is often cited by papers focused on Renal Diseases and Glomerulopathies (21 papers), Complement system in diseases (13 papers) and Vasculitis and related conditions (8 papers). Jean‐Claude Davin collaborates with scholars based in Netherlands, Belgium and United Kingdom. Jean‐Claude Davin's co-authors include Jan J. Weening, Rosanna Coppo, I J ten Berge, Jaap W. Groothoff, Antonia H. Bouts, Lisa Strain, Jacqueline Foidart, Tim Goodship, Nicole C. A. J. van de Kar and René A. W. van Lier and has published in prestigious journals such as The Journal of Immunology, PEDIATRICS and Kidney International.

In The Last Decade

Jean‐Claude Davin

35 papers receiving 1.4k 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 Davin 885 666 475 208 181 35 1.4k
Micheline Lévy 1.1k 1.2× 394 0.6× 329 0.7× 305 1.5× 205 1.1× 51 1.8k
Tatiana T. Antonovych 739 0.8× 449 0.7× 329 0.7× 84 0.4× 724 4.0× 36 1.6k
G. Colasanti 872 1.0× 167 0.3× 240 0.5× 144 0.7× 217 1.2× 45 1.4k
Giles Walters 435 0.5× 772 1.2× 328 0.7× 47 0.2× 332 1.8× 49 1.7k
Maddalena Marasà 814 0.9× 257 0.4× 240 0.5× 174 0.8× 125 0.7× 28 1.5k
I J ten Berge 266 0.3× 722 1.1× 228 0.5× 86 0.4× 127 0.7× 19 1.5k
E Grishman 726 0.8× 225 0.3× 269 0.6× 79 0.4× 312 1.7× 60 1.5k
Magda M. Stilmant 468 0.5× 265 0.4× 485 1.0× 89 0.4× 273 1.5× 35 1.2k
Ruth J. Pepper 310 0.4× 397 0.6× 363 0.8× 93 0.4× 597 3.3× 44 1.1k
Judith Forristal 482 0.5× 702 1.1× 132 0.3× 377 1.8× 123 0.7× 32 1.1k

Countries citing papers authored by Jean‐Claude Davin

Since Specialization
Citations

This map shows the geographic impact of Jean‐Claude Davin'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 Davin 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 Davin more than expected).

Fields of papers citing papers by Jean‐Claude Davin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Claude Davin

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