Gérard Eberl
Impact in
- Immunology top 0.02%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Biological Psychiatry top 0.5%
Papers in
- Immunology 113
- Immune Cell Function and Interaction 80
- IL-33, ST2, and ILC Pathways 55
- T-cell and B-cell Immunology 47
- Immunotherapy and Immune Responses 16
- Psoriasis: Treatment and Pathogenesis 11
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- Gut microbiota and health 23
- Co-authors
- James P. Di Santo (17 shared papers)Andrew N. J. McKenzie (4 shared papers)Dan R. Littman (5 shared papers)Marco Colonna (3 shared papers)Matthias Lochner (13 shared papers)Shinichiro Sawa (12 shared papers)Hergen Spits (3 shared papers)Éric Vivier (5 shared papers)
- Journals
- European Journal of Immunology (16 papers)The Journal of Immunology (15 papers)The Journal of Experimental Medicine (12 papers)Immunity (10 papers)Mucosal Immunology (9 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Gérard Eberl
158 papers receiving 26.3k citations
Gérard Eberl's Hit Papers
Peers
Comparison fields: 5 of 154
- Immunology 17.1k
- Biological Psychiatry 576
- Rheumatology 2.0k
- Gastroenterology 692
- Surgery 5.2k
Countries citing papers authored by Gérard Eberl
This map shows the geographic impact of Gérard Eberl'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 Gérard Eberl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gérard Eberl more than expected).
Fields of papers citing papers by Gérard Eberl
This network shows the impact of papers produced by Gérard Eberl. 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 Gérard Eberl. The network helps show where Gérard Eberl may publish in the future.
Co-authors
The 25 scholars most cited alongside Gérard Eberl, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Innate lymphoid cells — a proposal for uniform nomenclature Hit paper breakdown → | 2013 | 1833 |
| 2 | Innate Lymphoid Cells: 10 Years On Hit paper breakdown → | 2018 | 1552 |
| 3 | Generation of pathogenic TH17 cells in the absence of TGF-β signalling Hit paper breakdown → | 2010 | 1157 |
| 4 | The Key Role of Segmented Filamentous Bacteria in the Coordinated Maturation of Gut Helper T Cell Responses Hit paper breakdown → | 2009 | 1118 |
| 5 | Microbial Flora Drives Interleukin 22 Production in Intestinal NKp46+ Cells that Provide Innate Mucosal Immune Defense Hit paper breakdown → | 2008 | 897 |
| 6 | Lymphoid tissue genesis induced by commensals through NOD1 regulates intestinal homeostasis Hit paper breakdown → | 2008 | 826 |
| 7 | IL-23 induces spondyloarthropathy by acting on ROR-γt+ CD3+CD4−CD8− entheseal resident T cells Hit paper breakdown → | 2012 | 806 |
| 8 | A simplified disease activity index for rheumatoid arthritis for use in clinical practice Hit paper breakdown → | 2003 | 806 |
| 9 | An essential function for the nuclear receptor RORγt in the generation of fetal lymphoid tissue inducer cells Hit paper breakdown → | 2003 | 797 |
| 10 | Selective depletion of Foxp3+ regulatory T cells induces a scurfy-like disease Hit paper breakdown → | 2007 | 726 |
| 11 | The microbiota regulates type 2 immunity through RORγt + T cells Hit paper breakdown → | 2015 | 667 |
| 12 | Innate lymphoid cells: A new paradigm in immunology Hit paper breakdown → | 2015 | 657 |
| 13 | Innate lymphoid cells regulate CD4+ T-cell responses to intestinal commensal bacteria Hit paper breakdown → | 2013 | 608 |
| 14 | RORγt+ innate lymphoid cells regulate intestinal homeostasis by integrating negative signals from the symbiotic microbiota Hit paper breakdown → | 2011 | 473 |
| 15 | 2008 | 444 | |
| 16 | Regulation of cytokines, cytokine inhibitors, and acute-phase proteins following anti-TNF-alpha therapy in rheumatoid arthritis. | 1999 | 440 |
| 17 | A Weaning Reaction to Microbiota Is Required for Resistance to Immunopathologies in the Adult Hit paper breakdown → | 2019 | 426 |
| 18 | 2010 | 423 | |
| 19 | 2004 | 408 | |
| 20 | Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 + T cells Hit paper breakdown → | 2015 | 388 |
About Gérard Eberl
Gérard Eberl is a scholar working on Immunology, Molecular Biology, Surgery, Oncology and Rheumatology, having authored 159 papers that have together received 26.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (80 papers), IL-33, ST2, and ILC Pathways (55 papers), T-cell and B-cell Immunology (47 papers), Eosinophilic Esophagitis (30 papers), Gut microbiota and health (23 papers), Immunotherapy and Immune Responses (16 papers), Psoriasis: Treatment and Pathogenesis (11 papers) and Rheumatoid Arthritis Research and Therapies (11 papers). The work is most often cited by research in Immunology (17.1k citations), Biological Psychiatry (576 citations), Rheumatology (2.0k citations), Gastroenterology (692 citations) and Surgery (5.2k citations). Gérard Eberl has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include James P. Di Santo, Andrew N. J. McKenzie, Dan R. Littman, Marco Colonna, Matthias Lochner, Shinichiro Sawa, Hergen Spits, Éric Vivier, David Artis and H. Robson MacDonald. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Immunity 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.