Mathieu Epardaud

1.0k citations
16 papers · 836 · h-index 12

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immune cells in cancer
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 3
    • Tuberculosis Research and Epidemiology 2

Mathieu Epardaud

16 papers receiving 821 citations

Peers

Mathieu Epardaud
Comparison fields: 5 of 72
  • Immunology 611
  • Oncology 189
  • Immunology and Allergy 41
  • Infectious Diseases 96
  • Parasitology 20
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Citations per field
00.5×1.5×
Laurent Malherbe · 1×
Citations per year

Countries citing papers authored by Mathieu Epardaud

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Epardaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Epardaud, 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 Mathieu Epardaud Line = papers co-authored together Mathieu Epardaud links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2006285
2 2008140
3 201096
4 200570
5 201658
6 200445
7 201142
8 200629
9 201918
10 200515
11 201714
12 202013
13 20236
14 20152
15 20252
16 20041

About Mathieu Epardaud

Mathieu Epardaud is a scholar working on Immunology, Infectious Diseases, Microbiology, Epidemiology and Oncology, having authored 16 papers that have together received 836 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immune Response and Inflammation (3 papers), Tuberculosis Research and Epidemiology (2 papers), CAR-T cell therapy research (2 papers), Antimicrobial Peptides and Activities (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Immunology (611 citations), Oncology (189 citations), Immunology and Allergy (41 citations), Infectious Diseases (96 citations) and Parasitology (20 citations). Mathieu Epardaud has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Shannon J. Turley, Jessica E. Becker, Je–Wook Lee, Jing Sun, Joan K. Heath, M. Bonneau, Isabelle Schwartz‐Cornil, Kutlu G. Elpek, Ananda W. Goldrath and Angélique Bellemare‐Pelletier. Their work appears in journals such as Journal of Leukocyte Biology, Veterinary Research, Journal for ImmunoTherapy of Cancer, Journal of Extracellular Vesicles and The Journal of Immunology.

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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