Mathieu Fallet

805 citations
18 papers · 570 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Response and Inflammation
  • Aging top 10%

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4

Mathieu Fallet

17 papers receiving 564 citations

Peers

Mathieu Fallet
Comparison fields: 5 of 92
  • Immunology 273
  • Aging 20
  • Neurology 39
  • Cell Biology 55
  • Physiology 15
Replace Floriane Herit with:
Floriane Herit France
Ryan McCormack United States
Aaron Lampano United States
Matheus Oliveira Brazil
Nari Kim South Korea
Sabrina Absalon United States
Paula Abou Karam Israel
Hui Nie China
Ann Grogan United Kingdom
Yuri V. Kim United States
Mathieu Fallet relative to Floriane Herit France Floriane Herit's profile →
Citations per field
00.5×
Floriane Herit · 1×
Citations per year

Countries citing papers authored by Mathieu Fallet

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Fallet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011205
2 201754
3 201552
4 202246
5 202244
6 201330
7 201827
8 202026
9 201924
10 200617
11 201116
12 20188
13 20236
14 20216
15 20235
16 20163
17
[Evaluation of 2 methods for detecting anti-DNA antibodies in collagen disease].
19811
18 20200

About Mathieu Fallet

Mathieu Fallet is a scholar working on Immunology, Molecular Biology, Cell Biology, Ecology and Neurology, having authored 18 papers that have together received 570 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (4 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Optical Imaging and Spectroscopy Techniques (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Immunology (273 citations), Aging (20 citations), Neurology (39 citations), Cell Biology (55 citations) and Physiology (15 citations). Mathieu Fallet has collaborated with scholars based in France, Morocco and Portugal. Frequent co-authors include Jean‐Pierre Gorvel, Stéphane Méresse, Béatrice de Bovis, Hugues Lelouard, Didier Marguet, Lionel Spinelli, Sébastien Mailfert, Alexis J. Combes, Thien‐Phong Vu Manh and Voahirana Camosseto. Their work appears in journals such as Scientific Reports, The EMBO Journal, Aquatic Sciences, Gastroenterology 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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