Jérôme D. Coudert

5.6k citations
44 papers · 2.1k · h-index 22

Impact in

  • Immunology top 1%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • Immune Cell Function and Interaction 23
    • T-cell and B-cell Immunology 20
    • Reproductive System and Pregnancy 4
    • Immunotherapy and Immune Responses 4
    • Inflammatory Myopathies and Dermatomyositis 9
    • Cytomegalovirus and herpesvirus research 7

Jérôme D. Coudert

40 papers receiving 2.1k citations

Peers

Jérôme D. Coudert
Comparison fields: 5 of 103
  • Immunology 1.4k
  • Physiology 142
  • Oncology 454
  • Biological Psychiatry 40
  • Hematology 107
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Citations per field
00.5×1.7×
Adam T. Waickman · 1×
Citations per year

Countries citing papers authored by Jérôme D. Coudert

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme D. Coudert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jérôme D. Coudert. 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 Jérôme D. Coudert. The network helps show where Jérôme D. Coudert may publish in the future.

Co-authors

The 25 scholars most cited alongside Jérôme D. Coudert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jérôme D. Coudert Line = papers co-authored together Jérôme D. Coudert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017308
2 2003230
3 2005177
4 2014148
5 2008147
6 2016113
7 2006105
8 200193
9 200884
10 202179
11 200771
12 202167
13 200864
14 201056
15 200553
16 201339
17 200237
18 200632
19 200028
20 200326

About Jérôme D. Coudert

Jérôme D. Coudert is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Neurology, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (20 papers), Inflammatory Myopathies and Dermatomyositis (9 papers), Cytomegalovirus and herpesvirus research (7 papers), CAR-T cell therapy research (5 papers), Reproductive System and Pregnancy (4 papers), Immunotherapy and Immune Responses (4 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Immunology (1.4k citations), Physiology (142 citations), Oncology (454 citations), Biological Psychiatry (40 citations) and Hematology (107 citations). Jérôme D. Coudert has collaborated with scholars based in Australia, France and Switzerland. Frequent co-authors include Werner Held, Mariapia A. Degli‐Esposti, Éric Vivier, Jean‐Charles Guéry, Christopher E. Andoniou, Léonardo Scarpellino, Iona S. Schuster, Jacques Zimmer, Mark J. Smyth and Frédéric Gros. Their work appears in journals such as Blood, The Journal of Immunology, European Journal of Immunology, Frontiers in Immunology and Journal of Clinical Investigation.

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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