Mathieu Epardaud

1.0k citations
16 papers · 862 · 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
    • Lymphatic System and Diseases

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 3
    • Tuberculosis Research and Epidemiology 2
    • Viral Infections and Vectors 1

Mathieu Epardaud

16 papers receiving 845 citations

Peers

Mathieu Epardaud
Comparison fields: 5 of 71
  • Immunology 599
  • Oncology 183
  • Immunology and Allergy 41
  • Infectious Diseases 96
  • Parasitology 21
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Citations per field
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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 2006293
2 2008142
3 201097
4 200572
5 201659
6 200445
7 201142
8 200630
9 201920
10 201716
11 200515
12 202014
13 20257
14 20237
15 20152
16 20041

About Mathieu Epardaud

Mathieu Epardaud is a scholar working on Immunology, Infectious Diseases, Epidemiology, Microbiology and Oncology, having authored 16 papers that have together received 862 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Immune Response and Inflammation (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), CAR-T cell therapy research (2 papers) and Viral Infections and Vectors (1 paper). The work is most often cited by research in Immunology (599 citations), Oncology (183 citations), Immunology and Allergy (41 citations), Infectious Diseases (96 citations) and Parasitology (21 citations). Mathieu Epardaud has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Shannon J. Turley, Ai-ris Yonekura, Joan K. Heath, Jing Sun, Jessica E. Becker, Je–Wook Lee, M. Bonneau, Isabelle Schwartz‐Cornil, Kutlu G. Elpek and Roderick T. Bronson. Their work appears in journals such as Journal of Leukocyte Biology, Journal for ImmunoTherapy of Cancer, Veterinary Research, Nature Protocols 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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