Renaud Lesourne

1.4k total citations · 1 hit paper
27 papers, 1.0k citations indexed

About

Renaud Lesourne is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Renaud Lesourne has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Renaud Lesourne's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (7 papers). Renaud Lesourne is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (17 papers) and CAR-T cell therapy research (7 papers). Renaud Lesourne collaborates with scholars based in France, United States and Morocco. Renaud Lesourne's co-authors include Paul E. Love, Guillaume Gaud, Marc Daëron, Wolf H. Fridman, Jan Lee, Ki‐Duk Song, Pierre Bruhns, Julia Pinkhasov, Seeyoung Choi and LiQi Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Renaud Lesourne

27 papers receiving 1.0k citations

Hit Papers

Regulatory mechanisms in T cell receptor signalling 2018 2026 2020 2023 2018 100 200 300

Peers

Renaud Lesourne
Comparison fields: 5 of 81
  • Immunology 750
  • Molecular Biology 341
  • Oncology 270
  • Radiology, Nuclear Medicine and Imaging 148
  • Genetics 58
Replace Lisa M. Kelly with:
Lisa M. Kelly United States
Yuko Kozono Japan
A. Miyajima Japan
Emil H. Palacios United States
Mara Dottore Australia
Namir J. Hassan United Kingdom
Judith M. Ramage United Kingdom
Hyewon Phee United States
Stefanie Loeser Austria
Georgina H. Cornish United Kingdom
Lisa M. Kelly United States View profile →
Citations per field, relative to Renaud Lesourne
Renaud Lesourne · 1×
Citations per year, relative to Renaud Lesourne
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Countries citing papers authored by Renaud Lesourne

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Lesourne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Lesourne

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Lesourne. A scholar is included among the top collaborators of Renaud Lesourne 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 Renaud Lesourne. Renaud Lesourne 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 7
2 2
3 3
4 4
5 13
6
Regulatory mechanisms in T cell receptor signalling breakdown →
359
7 9
8 18
9 53
10 13
11 22
12 29
13 41
14 109
15 3
16 70
17 36
18 44
19 42
20 38

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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