Jean‐Pierre Revillard

6.2k total citations
158 papers, 4.9k citations indexed

About

Jean‐Pierre Revillard is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jean‐Pierre Revillard has authored 158 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Immunology, 57 papers in Molecular Biology and 40 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jean‐Pierre Revillard's work include T-cell and B-cell Immunology (47 papers), Immune Cell Function and Interaction (40 papers) and Monoclonal and Polyclonal Antibodies Research (39 papers). Jean‐Pierre Revillard is often cited by papers focused on T-cell and B-cell Immunology (47 papers), Immune Cell Function and Interaction (40 papers) and Monoclonal and Polyclonal Antibodies Research (39 papers). Jean‐Pierre Revillard collaborates with scholars based in France, Mali and United Kingdom. Jean‐Pierre Revillard's co-authors include Laurent Genestier, Monique Flacher, Claude Vincent, Laurence Quéméneur, Dominique Kaiserlian, Nathalie Bonnefoy, Karine Vidal, Kamel Izeradjene, G Cordier and Sylvie Fournel and has published in prestigious journals such as Blood, The Journal of Immunology and Hepatology.

In The Last Decade

Jean‐Pierre Revillard

157 papers receiving 4.7k citations

Peers

Jean‐Pierre Revillard
Comparison fields: 5 of 142
  • Immunology 2.2k
  • Molecular Biology 1.2k
  • Surgery 650
  • Transplantation 648
  • Radiology, Nuclear Medicine and Imaging 574
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Elsie M. Eugui United States
Irma Joosten Netherlands
J. F. Borel Switzerland
Paul E. Harris United States
Toshiyuki Tanaka Japan
Sonoko Habu Japan
Christoph Heusser Switzerland
Rainer Blasczyk Germany
Risto Renkonen Finland
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Citations per field, relative to Jean‐Pierre Revillard
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Citations per year, relative to Jean‐Pierre Revillard
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Countries citing papers authored by Jean‐Pierre Revillard

Since Specialization
Citations

This map shows the geographic impact of Jean‐Pierre Revillard'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 Revillard 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 Revillard more than expected).

Fields of papers citing papers by Jean‐Pierre Revillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Pierre Revillard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Pierre Revillard. A scholar is included among the top collaborators of Jean‐Pierre Revillard 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 Revillard. Jean‐Pierre Revillard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 59
3 29
4 186
5 158
6 79
7 6
8 33
9 93
10 30
11 5
12 196
13 10
14 11
15 9
16 15
17 3
18 39
19 2
20
Presence of estrogen binding sites and growth-stimulating effect of estradiol in the human myelogenous cell line HL60.
23

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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