Thierry Mallevaey

2.9k total citations
44 papers, 2.3k citations indexed

About

Thierry Mallevaey is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Thierry Mallevaey has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 12 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Thierry Mallevaey's work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (30 papers) and CAR-T cell therapy research (12 papers). Thierry Mallevaey is often cited by papers focused on Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (30 papers) and CAR-T cell therapy research (12 papers). Thierry Mallevaey collaborates with scholars based in Canada, United States and France. Thierry Mallevaey's co-authors include Laurent Gapin, Jennifer L. Matsuda, James Scott‐Browne, François Trottein, Jamie Rossjohn, Christelle Faveeuw, Josette Fontaine, Moníque Capron, Dale I. Godfrey and James McCluskey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nano Letters.

In The Last Decade

Thierry Mallevaey

44 papers receiving 2.3k citations

Peers

Thierry Mallevaey
Suzanne E. Connaughton United States
Roman Spörri Switzerland
D A Faherty United States
Heike Schindler Germany
Bernard Pajak Belgium
Admar Verschoor Germany
Bithi Chatterjee Switzerland
Ildiko Van Rhijn Netherlands
Rowan Higgs Ireland
Christian Peters Germany
Suzanne E. Connaughton United States
Thierry Mallevaey
Citations per year, relative to Thierry Mallevaey Thierry Mallevaey (= 1×) peers Suzanne E. Connaughton

Countries citing papers authored by Thierry Mallevaey

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Mallevaey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thierry Mallevaey

This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Mallevaey. A scholar is included among the top collaborators of Thierry Mallevaey 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 Thierry Mallevaey. Thierry Mallevaey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abd-Rabbo, Diala, Heidi Elsaesser, Vinicius Kannen, et al.. (2025). Presentation of immunoregulatory sialoglycans on T cells is divergent between mice and humans. Cell Reports. 44(7). 115933–115933. 2 indexed citations
2.
Baglaenko, Yuriy, Eric Cao, Kebria Hezaveh, et al.. (2024). The intestinal microbiota modulates the transcriptional landscape of iNKT cells at steady-state and following antigen exposure. Mucosal Immunology. 17(2). 226–237. 2 indexed citations
3.
Mallevaey, Thierry, et al.. (2021). Dirty mice join the immunologist's toolkit. Microbes and Infection. 23(6-7). 104817–104817. 7 indexed citations
4.
Baranek, Thomas, Kévin Lebrigand, Céline Dietrich, et al.. (2020). High Dimensional Single-Cell Analysis Reveals iNKT Cell Developmental Trajectories and Effector Fate Decision. Cell Reports. 32(10). 108116–108116. 46 indexed citations
5.
Paget, Christophe, Shenglou Deng, Daphnée Soulard, et al.. (2019). TLR9-mediated dendritic cell activation uncovers mammalian ganglioside species with specific ceramide backbones that activate invariant natural killer T cells. PLoS Biology. 17(3). e3000169–e3000169. 22 indexed citations
6.
Zhao, Meng, et al.. (2019). The Protein Phosphatase Shp1 Regulates Invariant NKT Cell Effector Differentiation Independently of TCR and Slam Signaling. The Journal of Immunology. 202(8). 2276–2286. 9 indexed citations
7.
Escalante, Nichole, Paul Lemire, David Prescott, et al.. (2016). The common mouse protozoaTritrichomonas murisalters mucosal T cell homeostasis and colitis susceptibility. The Journal of Experimental Medicine. 213(13). 2841–2850. 59 indexed citations
8.
Escalante, Nichole, Shenglou Deng, June Ereño‐Orbea, et al.. (2016). Discrete TCR Binding Kinetics Control Invariant NKT Cell Selection and Central Priming. The Journal of Immunology. 197(10). 3959–3969. 27 indexed citations
9.
Paget, Christophe, Helene Duret, Maya Hassane, et al.. (2015). CD3(bright) signals on gamma delta T cells identify IL-17A-producing V gamma 6V delta 1( ) T cells. Immunology and Cell Biology. 93(2). 2 indexed citations
10.
Pichavant, Muriel, Audrey Langlois, François Maggiotto, et al.. (2013). Colonic Inflammation in Mice Is Improved by Cigarette Smoke through iNKT Cells Recruitment. PLoS ONE. 8(4). e62208–e62208. 29 indexed citations
11.
Young, Mary H., Lance U’Ren, Shouxiong Huang, et al.. (2013). MAIT Cell Recognition of MR1 on Bacterially Infected and Uninfected Cells. PLoS ONE. 8(1). e53789–e53789. 35 indexed citations
12.
Patel, Onisha, Daniel G. Pellicci, Stéphanie Gras, et al.. (2012). Recognition of CD1d-sulfatide mediated by a type II natural killer T cell antigen receptor. Nature Immunology. 13(9). 857–863. 97 indexed citations
13.
Baker, Rocky L., Thierry Mallevaey, Laurent Gapin, & Kathryn Haskins. (2012). T cells interact with T cells via CD40‐CD154 to promote autoimmunity in type 1 diabetes. European Journal of Immunology. 42(3). 672–680. 15 indexed citations
14.
Mallevaey, Thierry, Andrew Clarke, James Scott‐Browne, et al.. (2011). A Molecular Basis for NKT Cell Recognition of CD1d-Self-Antigen. Immunity. 34(3). 315–326. 108 indexed citations
15.
Pellicci, Daniel G., Andrew Clarke, Onisha Patel, et al.. (2011). Recognition of β-linked self glycolipids mediated by natural killer T cell antigen receptors. Nature Immunology. 12(9). 827–833. 95 indexed citations
16.
Paget, Christophe, Emilie Bialecki, Josette Fontaine, et al.. (2009). Role of Invariant NK T Lymphocytes in Immune Responses to CpG Oligodeoxynucleotides. The Journal of Immunology. 182(4). 1846–1853. 28 indexed citations
17.
Matsuda, Jennifer L., Thierry Mallevaey, James Scott‐Browne, & Laurent Gapin. (2008). CD1d-restricted iNKT cells, the ‘Swiss-Army knife’ of the immune system. Current Opinion in Immunology. 20(3). 358–368. 324 indexed citations
18.
Breuilh, Laëtitia, Josette Fontaine, Thierry Mallevaey, et al.. (2007). Toll-like receptor (TLR)2 and TLR3 sensing is required for dendritic cell activation, but dispensable to control Schistosoma mansoni infection and pathology. Microbes and Infection. 9(14-15). 1606–1613. 37 indexed citations
19.
Paget, Christophe, Thierry Mallevaey, Anneliese O. Speak, et al.. (2007). Activation of Invariant NKT Cells by Toll-like Receptor 9-Stimulated Dendritic Cells Requires Type I Interferon and Charged Glycosphingolipids. Immunity. 27(4). 597–609. 219 indexed citations
20.
Mallevaey, Thierry, Jean Pierre Zanetta, Christelle Faveeuw, et al.. (2006). Activation of Invariant NKT Cells by the Helminth Parasite Schistosoma mansoni. The Journal of Immunology. 176(4). 2476–2485. 71 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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