Jean-Pierre Venetz

100 total papers · 1.9k total citations
36 papers, 702 citations indexed

About

Jean-Pierre Venetz is a scholar working on Transplantation, Surgery and Epidemiology. According to data from OpenAlex, Jean-Pierre Venetz has authored 36 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Transplantation, 9 papers in Surgery and 8 papers in Epidemiology. Recurrent topics in Jean-Pierre Venetz's work include Renal Transplantation Outcomes and Treatments (16 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Jean-Pierre Venetz is often cited by papers focused on Renal Transplantation Outcomes and Treatments (16 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Renal Diseases and Glomerulopathies (5 papers). Jean-Pierre Venetz collaborates with scholars based in Switzerland, Belgium and United States. Jean-Pierre Venetz's co-authors include Manuel Pascual, Giuseppe Pantaleo, Vincent Aubert, John‐David Aubert, Oriol Manuel, Chin B. Eap, Séverine Crettol, Pascal Meylan, Waichi Wong and Katja Höschler and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jean-Pierre Venetz

34 papers receiving 697 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-Pierre Venetz 326 226 184 140 110 36 702
R Shapiro 330 1.0× 153 0.7× 230 1.3× 99 0.7× 84 0.8× 34 714
Kwaku Marfo 334 1.0× 106 0.5× 173 0.9× 188 1.3× 85 0.8× 31 668
David J. Conti 241 0.7× 182 0.8× 240 1.3× 67 0.5× 93 0.8× 26 750
William R. Mulley 341 1.0× 209 0.9× 259 1.4× 187 1.3× 129 1.2× 67 884
Marisa Mir 415 1.3× 147 0.7× 288 1.6× 112 0.8× 65 0.6× 46 822
Nacéra Ouali 512 1.6× 304 1.3× 272 1.5× 67 0.5× 70 0.6× 29 883
Francis H. Wright 460 1.4× 240 1.1× 352 1.9× 62 0.4× 104 0.9× 39 905
Núria Montero 355 1.1× 164 0.7× 239 1.3× 78 0.6× 70 0.6× 58 695
Johan Noble 331 1.0× 129 0.6× 168 0.9× 126 0.9× 62 0.6× 77 628
Priya S. Verghese 258 0.8× 158 0.7× 157 0.9× 111 0.8× 127 1.2× 56 832

Countries citing papers authored by Jean-Pierre Venetz

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Pierre Venetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Pierre Venetz

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