Mathieu Fallet
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
- Immunology 12
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 5
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Jean‐Pierre Gorvel (4 shared papers)Stéphane Méresse (2 shared papers)Hugues Lelouard (4 shared papers)Béatrice de Bovis (1 shared paper)Didier Marguet (5 shared papers)Lionel Spinelli (3 shared papers)Philippe Pierre (2 shared papers)Alexis J. Combes (2 shared papers)
In The Last Decade
Mathieu Fallet
21 papers receiving 607 citations
Peers
Comparison fields: 5 of 93
- Immunology 289
- Aging 24
- Neurology 42
- Cell Biology 58
- Physiology 16
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 213 | |
| 2 | 2017 | 55 | |
| 3 | 2015 | 53 | |
| 4 | 2022 | 51 | |
| 5 | 2022 | 49 | |
| 6 | 2013 | 33 | |
| 7 | 2018 | 29 | |
| 8 | 2020 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2011 | 17 | |
| 11 | 2006 | 17 | |
| 12 | 2018 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2025 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Mathieu Fallet
Mathieu Fallet is a scholar working on Immunology, Aging, Biophysics, Cell Biology and Neurology, having authored 21 papers that have together received 613 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Single-cell and spatial transcriptomics (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Immunology (289 citations), Aging (24 citations), Neurology (42 citations), Cell Biology (58 citations) and Physiology (16 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, Philippe Pierre, Alexis J. Combes, Sébastien Mailfert and Voahirana Camosseto. Their work appears in journals such as F1000Research, Nature Communications, Aquatic Sciences, Nature Immunology and Mucosal 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.