Jacques Clot

1.5k total citations
44 papers, 1.2k citations indexed

About

Jacques Clot is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jacques Clot has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 12 papers in Virology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jacques Clot's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (20 papers) and HIV Research and Treatment (12 papers). Jacques Clot is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (20 papers) and HIV Research and Treatment (12 papers). Jacques Clot collaborates with scholars based in France, Switzerland and Italy. Jacques Clot's co-authors include Pierre Portalès, Pierre Corbeau, Jacques Reynes, Jean‐François Eliaou, Jean‐Jacques Guilhou, Yea‐Lih Lin, Clément Mettling, Vincent Baillat, J Meynadier and Odile Avinens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

Jacques Clot

42 papers receiving 1.1k citations

Peers

Jacques Clot
Comparison fields: 5 of 84
  • Immunology 718
  • Virology 411
  • Infectious Diseases 195
  • Epidemiology 154
  • Rheumatology 128
Replace Johnson T. Wong with:
Johnson T. Wong United States
Pierre Portalès France
Dirk Meyer‐Olson Germany
Emile Foucat France
J. D’Amaro Netherlands
John Castiblanco Colombia
Dawn Jones United States
Gloria Vásquez Colombia
Gary Toedter United States
Hassen Kared France
Johnson T. Wong United States View profile →
Citations per field, relative to Jacques Clot
Jacques Clot · 1×
Citations per year, relative to Jacques Clot
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Countries citing papers authored by Jacques Clot

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Clot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques Clot. 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 Jacques Clot. The network helps show where Jacques Clot may publish in the future.

Co-authorship network of co-authors of Jacques Clot

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Clot. A scholar is included among the top collaborators of Jacques Clot 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 Jacques Clot. Jacques Clot 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 5
2 8
3 22
4 15
5 24
6 5
7 21
8 21
9 42
10 17
11 19
12 79
13 18
14 22
15 59
16 4
17 48
18 18
19 46
20 5

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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