Emmanuel Treiner

5.6k total citations · 2 hit papers
33 papers, 4.1k citations indexed

About

Emmanuel Treiner is a scholar working on Immunology, Infectious Diseases and Oncology. According to data from OpenAlex, Emmanuel Treiner has authored 33 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 6 papers in Infectious Diseases and 5 papers in Oncology. Recurrent topics in Emmanuel Treiner's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (6 papers). Emmanuel Treiner is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (6 papers). Emmanuel Treiner collaborates with scholars based in France, United States and Canada. Emmanuel Treiner's co-authors include Olivier Lantz, Florence Tilloy, Livine Duban, Virginie Prémel, Claire Soudais, Emmanuel Martin, Nadine Fernandez, David H. Raulet, Susan Gilfillan and Pierre Affaticati and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Blood.

In The Last Decade

Emmanuel Treiner

31 papers receiving 4.1k citations

Hit Papers

Selection of evolutionarily conserved mucosal-associated ... 2003 2026 2010 2018 2003 2010 250 500 750

Peers

Emmanuel Treiner
Emmanuel Treiner
Citations per year, relative to Emmanuel Treiner Emmanuel Treiner (= 1×) peers Emmanuel Martin

Countries citing papers authored by Emmanuel Treiner

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Treiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Treiner

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Treiner. A scholar is included among the top collaborators of Emmanuel Treiner 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 Emmanuel Treiner. Emmanuel Treiner 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.
Renaudineau, Yves, Emmanuel Treiner, Fabrice Hérin, et al.. (2025). Interferon-γ release assay as an emergent powerful biomarker in systemic lupus erythematosus. Lara D. Veeken. 64(10). 5313–5321.
2.
Varenne, Fanny, Sébastien Lhomme, Emmanuel Treiner, et al.. (2025). JC Virus–Related Retinopathy. JAMA Ophthalmology. 143(9). 785–785.
3.
Renaudineau, Yves, Dominique Chauveau, Stanislas Faguer, et al.. (2024). Urinary soluble CD163 is useful as “liquid biopsy” marker in lupus nephritis at both diagnosis and follow-up to predict impending flares. Journal of Translational Autoimmunity. 9. 100244–100244. 5 indexed citations
4.
Lafaurie, Margaux, Emmanuel Treiner, Ondine Walter, et al.. (2023). Infectious risk when prescribing rituximab in patients with hypogammaglobulinemia acquired in the setting of autoimmune diseases. International Immunopharmacology. 120. 110342–110342. 3 indexed citations
5.
Bello, Arnaud Del & Emmanuel Treiner. (2023). Immune Checkpoints in Solid Organ Transplantation. Biology. 12(10). 1358–1358. 2 indexed citations
6.
Renaudineau, Yves, Chloé Bost, Florence Abravanel, et al.. (2023). Glucocorticoids selectively affect the memory T cell response to SARS-Cov2 spike in vaccinated and post-infected patients with systemic lupus erythematosus. Journal of Translational Autoimmunity. 6. 100200–100200. 2 indexed citations
7.
Treiner, Emmanuel. (2023). Mucosal-associated invariant T cells in hematological malignancies: Current knowledge, pending questions. Frontiers in Immunology. 14. 1160943–1160943. 5 indexed citations
8.
Renaudineau, Yves, Florence Abravanel, Jacques Izopet, et al.. (2022). Novel T cell interferon gamma release assay (IGRA) using spike recombinant protein for COVID19 vaccine response and Nucleocapsid for SARS-Cov2 response. Clinical Immunology. 237. 108979–108979. 15 indexed citations
9.
Comont, Thibault, Marie-Laure Nicolau-Travers, Sarah Bertoli, et al.. (2021). MAIT cells numbers and frequencies in patients with acute myeloid leukemia at diagnosis: association with cytogenetic profile and gene mutations. Cancer Immunology Immunotherapy. 71(4). 875–887. 10 indexed citations
10.
Bello, Arnaud Del, Nassim Kamar, François Vergez, et al.. (2021). Adaptive lymphocyte profile analysis discriminates mild and severe forms of COVID-19 after solid organ transplantation. Kidney International. 100(4). 915–927. 8 indexed citations
11.
Comont, Thibault, Emmanuel Treiner, & François Vergez. (2021). From Immune Dysregulations to Therapeutic Perspectives in Myelodysplastic Syndromes: A Review. Diagnostics. 11(11). 1982–1982. 6 indexed citations
12.
Gross, Christelle, et al.. (2020). MAIT Cells Display a Specific Response to Type 1 IFN Underlying the Adjuvant Effect of TLR7/8 Ligands. Frontiers in Immunology. 11. 2097–2097. 15 indexed citations
13.
Bello, Arnaud Del, Nassim Kamar, & Emmanuel Treiner. (2019). T cell reconstitution after lymphocyte depletion features a different pattern of inhibitory receptor expression in ABO- versus HLA-incompatible kidney transplant recipients. Clinical & Experimental Immunology. 200(1). 89–104. 4 indexed citations
14.
Treiner, Emmanuel & Roland Liblau. (2015). Mucosal-Associated Invariant T Cells in Multiple Sclerosis: The Jury is Still Out. Frontiers in Immunology. 6. 503–503. 29 indexed citations
15.
Bourhis, Lionel Le, Mathilde Dusséaux, Armelle Bohineust, et al.. (2013). MAIT Cells Detect and Efficiently Lyse Bacterially-Infected Epithelial Cells. PLoS Pathogens. 9(10). e1003681–e1003681. 282 indexed citations
16.
Joncker, Nathalie T., Nadine Fernandez, Emmanuel Treiner, Éric Vivier, & David H. Raulet. (2009). NK Cell Responsiveness Is Tuned Commensurate with the Number of Inhibitory Receptors for Self-MHC Class I: The Rheostat Model. The Journal of Immunology. 182(8). 4572–4580. 209 indexed citations
17.
Martin, Emmanuel, Emmanuel Treiner, Livine Duban, et al.. (2009). Stepwise Development of MAIT Cells in Mouse and Human. PLoS Biology. 7(3). e1000054–e1000054. 451 indexed citations
18.
Treiner, Emmanuel & Olivier Lantz. (2006). CD1d- and MR1-restricted invariant T cells: of mice and men. Current Opinion in Immunology. 18(5). 519–526. 105 indexed citations
19.
Fernandez, Nadine, Emmanuel Treiner, Russell E. Vance, et al.. (2005). A subset of natural killer cells achieves self-tolerance without expressing inhibitory receptors specific for self-MHC molecules. Blood. 105(11). 4416–4423. 419 indexed citations
20.
Treiner, Emmanuel, Livine Duban, Seiamak Bahram, et al.. (2003). Selection of evolutionarily conserved mucosal-associated invariant T cells by MR1. Nature. 422(6928). 164–169. 850 indexed citations breakdown →

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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