Mathieu Fallet
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
- Aging top 10%
Papers in
- Immunology 11
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Jean‐Pierre Gorvel (4 shared papers)Stéphane Méresse (2 shared papers)Hugues Lelouard (2 shared papers)Béatrice de Bovis (1 shared paper)Didier Marguet (5 shared papers)Lionel Spinelli (3 shared papers)Alexis J. Combes (2 shared papers)Evelina Gatti (2 shared papers)
In The Last Decade
Mathieu Fallet
17 papers receiving 526 citations
Peers
Comparison fields: 5 of 90
- Immunology 263
- Aging 20
- Neurology 37
- Biological Psychiatry 9
- Cell Biology 56
Countries citing papers authored by Mathieu Fallet
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 183 | |
| 2 | 2017 | 53 | |
| 3 | 2015 | 51 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 38 | |
| 6 | 2013 | 30 | |
| 7 | 2018 | 27 | |
| 8 | 2020 | 25 | |
| 9 | 2019 | 23 | |
| 10 | 2006 | 17 | |
| 11 | 2011 | 16 | |
| 12 | 2018 | 8 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 3 | |
| 16 | 2016 | 3 | |
| 17 | [Evaluation of 2 methods for detecting anti-DNA antibodies in collagen disease]. | 1981 | 1 |
| 18 | 2020 | 0 |
About Mathieu Fallet
Mathieu Fallet is a scholar working on Immunology, Molecular Biology, Cell Biology, Ecology and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 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), Single-cell and spatial transcriptomics (1 paper), Plant Molecular Biology Research (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Immunology (263 citations), Aging (20 citations), Neurology (37 citations), Biological Psychiatry (9 citations) and Cell Biology (56 citations). Mathieu Fallet has collaborated with scholars based in France, Portugal and Morocco. Frequent co-authors include Jean‐Pierre Gorvel, Stéphane Méresse, Hugues Lelouard, Béatrice de Bovis, Didier Marguet, Lionel Spinelli, Alexis J. Combes, Evelina Gatti, Voahirana Camosseto and Sébastien Mailfert. Their work appears in journals such as Scientific Reports, The Journal of Cell Biology, Immunology, Nature Communications and Immunity.
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.