Mathieu Fallet

784 total citations
18 papers, 531 citations indexed

About

Mathieu Fallet is a scholar working on Immunology, Molecular Biology and Cell Biology. According to data from OpenAlex, Mathieu Fallet has authored 18 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Mathieu Fallet's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Mathieu Fallet is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (4 papers). Mathieu Fallet collaborates with scholars based in France, Portugal and Morocco. Mathieu Fallet's co-authors include Jean‐Pierre Gorvel, Stéphane Méresse, Hugues Lelouard, Béatrice de Bovis, Didier Marguet, Lionel Spinelli, Manuel A. S. Santos, Evelina Gatti, Philippe Pierre and Thien‐Phong Vu Manh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Mathieu Fallet

17 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mathieu Fallet France 11 263 178 64 56 47 18 531
Ryan McCormack United States 14 204 0.8× 243 1.4× 64 1.0× 33 0.6× 89 1.9× 26 591
Chris S. Schaumburg United States 15 186 0.7× 112 0.6× 45 0.7× 36 0.6× 29 0.6× 25 1.0k
Paul J. Vorster United States 7 190 0.7× 149 0.8× 76 1.2× 46 0.8× 91 1.9× 8 455
Floriane Herit France 9 171 0.7× 136 0.8× 59 0.9× 121 2.2× 58 1.2× 13 418
Yingyu Mao China 14 126 0.5× 314 1.8× 74 1.2× 69 1.2× 51 1.1× 27 603
Sabrina Curreli United States 17 290 1.1× 285 1.6× 116 1.8× 46 0.8× 42 0.9× 27 781
Barbara Laumbacher Germany 8 147 0.6× 209 1.2× 36 0.6× 48 0.9× 35 0.7× 15 405
Catherine Sharpe United Kingdom 8 145 0.6× 150 0.8× 45 0.7× 37 0.7× 36 0.8× 12 461
Gordon L. Frazer United Kingdom 7 178 0.7× 109 0.6× 72 1.1× 19 0.3× 52 1.1× 8 435
Hansjörg Schild Germany 6 321 1.2× 328 1.8× 76 1.2× 58 1.0× 25 0.5× 6 568

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-authorship network of co-authors of Mathieu Fallet

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Fallet. A scholar is included among the top collaborators of Mathieu Fallet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mathieu Fallet. Mathieu Fallet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Soulignac, Frédéric, et al.. (2023). Controlling factors of phytoplankton distribution in the river–lake transition zone of a large lake. Aquatic Sciences. 85(2). 3 indexed citations
2.
Fenouil, Romain, Camille Wagner, Clément Da Silva, et al.. (2023). Peyer’s patch phagocytes acquire specific transcriptional programs that influence their maturation and activation profiles. Mucosal Immunology. 16(4). 527–547. 5 indexed citations
3.
Grégoire, Claude, Lionel Spinelli, Sergio Villazala‐Merino, et al.. (2022). Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism. Immunity. 55(7). 1216–1233.e9. 42 indexed citations
4.
Siret, Carole, Max van Lessen, Hyun‐Woo Jeong, et al.. (2022). Deciphering the heterogeneity of the Lyve1+ perivascular macrophages in the mouse brain. Nature Communications. 13(1). 7366–7366. 38 indexed citations
5.
Fallet, Mathieu, et al.. (2021). The Salmonella effector SifA initiates a kinesin-1 and kinesin-3 recruitment process mirroring that mediated by Arl8a and Arl8b. Journal of Cell Science. 135(1). 6 indexed citations
6.
Salles, Audrey, Gaëtan Chicanne, Mathieu Fallet, et al.. (2020). Author Correction: Phosphoinositides regulate the TCR/CD3 complex membrane dynamics and activation. Scientific Reports. 10(1). 12558–12558.
7.
Taffoni, Clara, Shizue Omi, Caroline Huber, et al.. (2020). Microtubule plus-end dynamics link wound repair to the innate immune response. eLife. 9. 25 indexed citations
8.
Valente, Michael, Yusuf Dölen, Lene Vimeux, et al.. (2019). Cross-talk between iNKT cells and CD8 T cells in the spleen requires the IL-4/CCL17 axis for the generation of short-lived effector cells. Proceedings of the National Academy of Sciences. 116(51). 25816–25827. 23 indexed citations
9.
Salles, Audrey, Gaëtan Chicanne, Mathieu Fallet, et al.. (2018). Phosphoinositides regulate the TCR/CD3 complex membrane dynamics and activation. Scientific Reports. 8(1). 4966–4966. 27 indexed citations
10.
Wang, Ruixing, Sophie Brustlein, Sébastien Mailfert, et al.. (2018). A straightforward STED-background corrected fitting model for unbiased STED-FCS analyses. Methods. 140-141. 212–222. 8 indexed citations
11.
Dalet, Alexandre, Rafael J. Argüello, Alexis J. Combes, et al.. (2017). Protein synthesis inhibition and GADD34 control IFN‐β heterogeneous expression in response to dsRNA. The EMBO Journal. 36(6). 761–782. 53 indexed citations
12.
Frick, Melissa A., Grégory Verdeil, Yannick Hamon, et al.. (2016). Distinct patterns of cytolytic T‐cell activation by different tumour cells revealed by Ca2+ signalling and granule mobilization. Immunology. 150(2). 199–212. 3 indexed citations
13.
Terawaki, Seigo, Voahirana Camosseto, Till Wenger, et al.. (2015). RUN and FYVE domain–containing protein 4 enhances autophagy and lysosome tethering in response to Interleukin-4. The Journal of Cell Biology. 210(7). 1133–1152. 51 indexed citations
14.
Salles, Audrey, Cyrille Billaudeau, Arnauld Sergé, et al.. (2013). Barcoding T Cell Calcium Response Diversity with Methods for Automated and Accurate Analysis of Cell Signals (MAAACS). PLoS Computational Biology. 9(9). e1003245–e1003245. 30 indexed citations
15.
Lelouard, Hugues, Mathieu Fallet, Béatrice de Bovis, Stéphane Méresse, & Jean‐Pierre Gorvel. (2011). Peyer's Patch Dendritic Cells Sample Antigens by Extending Dendrites Through M Cell-Specific Transcellular Pores. Gastroenterology. 142(3). 592–601.e3. 183 indexed citations
16.
Sanos, Stéphanie L., Jonathan A. Nowak, Mathieu Fallet, & Marc Bajénoff. (2011). Stromal Cell Networks Regulate Thymocyte Migration and Dendritic Cell Behavior in the Thymus. The Journal of Immunology. 186(5). 2835–2841. 16 indexed citations
17.
Popovici, Cornel, et al.. (2006). Intracellular trafficking of LET-756, a fibroblast growth factor of C. elegans, is controlled by a balance of export and nuclear signals. Experimental Cell Research. 312(9). 1484–1495. 17 indexed citations
18.
Fallet, Mathieu, Antonio Celada, & A Cruchaud. (1981). [Evaluation of 2 methods for detecting anti-DNA antibodies in collagen disease].. PubMed. 111(14). 488–94. 1 indexed citations

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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