Gérard Eberl

46.9k total citations · 16 hit papers
158 papers, 25.0k citations indexed

About

Gérard Eberl is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Gérard Eberl has authored 158 papers receiving a total of 25.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Immunology, 40 papers in Molecular Biology and 31 papers in Surgery. Recurrent topics in Gérard Eberl's work include Immune Cell Function and Interaction (80 papers), IL-33, ST2, and ILC Pathways (55 papers) and T-cell and B-cell Immunology (47 papers). Gérard Eberl is often cited by papers focused on Immune Cell Function and Interaction (80 papers), IL-33, ST2, and ILC Pathways (55 papers) and T-cell and B-cell Immunology (47 papers). Gérard Eberl collaborates with scholars based in France, United States and Switzerland. Gérard Eberl's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gérard Eberl

157 papers receiving 24.8k citations

Hit Papers

Innate lymphoid cells — a proposal for uniform n... 2003 2026 2010 2018 2013 2018 2009 2008 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gérard Eberl France 68 16.9k 5.7k 5.5k 2.4k 2.1k 158 25.0k
Foo Y. Liew United Kingdom 96 17.1k 1.0× 5.4k 0.9× 5.3k 1.0× 2.0k 0.8× 2.4k 1.2× 232 28.9k
Robert A. Kastelein United States 56 24.0k 1.4× 3.8k 0.7× 2.9k 0.5× 4.1k 1.7× 2.7k 1.3× 74 31.0k
Susumu Nakae Japan 69 14.4k 0.9× 3.0k 0.5× 3.0k 0.5× 1.9k 0.8× 1.9k 0.9× 194 20.2k
Sharon M. Wahl United States 87 15.0k 0.9× 7.9k 1.4× 2.5k 0.5× 4.4k 1.8× 1.9k 0.9× 277 31.6k
Francesco Annunziato Italy 67 10.8k 0.6× 3.3k 0.6× 1.9k 0.3× 3.4k 1.4× 1.3k 0.6× 209 18.9k
Casey T. Weaver United States 73 18.6k 1.1× 5.2k 0.9× 1.5k 0.3× 3.5k 1.5× 1.3k 0.6× 172 26.8k
Terry B. Strom United States 90 23.2k 1.4× 6.0k 1.1× 4.9k 0.9× 5.4k 2.2× 1.3k 0.6× 423 35.4k
Ivaylo I. Ivanov United States 31 12.5k 0.7× 8.4k 1.5× 2.1k 0.4× 2.0k 0.8× 855 0.4× 42 21.6k
Enrico Maggi Italy 83 15.6k 0.9× 3.6k 0.6× 2.1k 0.4× 3.9k 1.6× 2.0k 0.9× 367 27.2k
Kenji Nakanishi Japan 60 12.4k 0.7× 6.1k 1.1× 2.2k 0.4× 1.7k 0.7× 1.1k 0.5× 128 18.4k

Countries citing papers authored by Gérard Eberl

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gérard Eberl

This figure shows the co-authorship network connecting the top 25 collaborators of Gérard Eberl. A scholar is included among the top collaborators of Gérard Eberl 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 Gérard Eberl. Gérard Eberl 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.
Gabanyi, Ilana, Gabriel Lepousez, Richard Wheeler, et al.. (2022). Bacterial sensing via neuronal Nod2 regulates appetite and body temperature. Science. 376(6590). eabj3986–eabj3986. 120 indexed citations breakdown →
2.
Pascal, Maud, Grégoire Chevalier, Soham Saha, et al.. (2022). The neuropeptide VIP potentiates intestinal innate type 2 and type 3 immunity in response to feeding. Mucosal Immunology. 15(4). 629–641. 42 indexed citations
3.
Vanderkerken, Matthias, António P. Baptista, Marco De Giovanni, et al.. (2021). ILC3s control splenic cDC homeostasis via lymphotoxin signaling. The Journal of Experimental Medicine. 218(5). 12 indexed citations
4.
Chevalier, Grégoire, Eleni Siopi, Laure Guenin‐Macé, et al.. (2020). Effect of gut microbiota on depressive-like behaviors in mice is mediated by the endocannabinoid system. Nature Communications. 11(1). 6363–6363. 247 indexed citations
5.
Klibi, Jihène, Shamin Li, Stéphane Brunet, et al.. (2019). Characterization of the developmental landscape of murine RORγt+ iNKT cells. International Immunology. 32(2). 105–116. 4 indexed citations
6.
Park, Joo‐Hong & Gérard Eberl. (2018). Type 3 regulatory T cells at the interface of symbiosis. The Journal of Microbiology. 56(3). 163–171. 24 indexed citations
7.
Nigro, Giulia, et al.. (2017). CD34 + mesenchymal cells are a major component of the intestinal stem cells niche at homeostasis and after injury. Proceedings of the National Academy of Sciences. 114(4). E506–E513. 234 indexed citations
8.
Fiette, Laurence, et al.. (2016). IL-15-dependent balance between Foxp3 and RORγt expression impacts inflammatory bowel disease. Nature Communications. 7(1). 10888–10888. 58 indexed citations
9.
Hepworth, Matthew R., Thomas C. Fung, Judith R. Kelsen, et al.. (2015). Group 3 innate lymphoid cells mediate intestinal selection of commensal bacteria–specific CD4 + T cells. Science. 348(6238). 1031–1035. 378 indexed citations breakdown →
10.
Ohnmacht, Caspar, Sascha Cording, James B. Wing, et al.. (2015). The microbiota regulates type 2 immunity through RORγt + T cells. Science. 349(6251). 989–993. 650 indexed citations breakdown →
11.
Eberl, Gérard. (2015). Innate Immune Cells. 2 indexed citations
12.
Kruglov, Andrey, Sergei I. Grivennikov, Dmitry V. Kuprash, et al.. (2013). Nonredundant Function of Soluble LTα 3 Produced by Innate Lymphoid Cells in Intestinal Homeostasis. Science. 342(6163). 1243–1246. 203 indexed citations
13.
Gasse, Paméla, Nicolas Riteau, Rachel Vacher, et al.. (2011). IL-1 and IL-23 Mediate Early IL-17A Production in Pulmonary Inflammation Leading to Late Fibrosis. PLoS ONE. 6(8). e23185–e23185. 175 indexed citations
14.
Sawa, Shinichiro, Marie Cherrier, Matthias Lochner, et al.. (2010). Lineage Relationship Analysis of RORγt + Innate Lymphoid Cells. Science. 330(6004). 665–669. 419 indexed citations
15.
Sellge, Gernot, João G. Magalhães, Christoph Konradt, et al.. (2010). Th17 Cells Are the Dominant T Cell Subtype Primed by Shigella flexneri Mediating Protective Immunity. The Journal of Immunology. 184(4). 2076–2085. 74 indexed citations
16.
Lahl, Katharina, Christian T. Mayer, Tobias Bopp, et al.. (2009). Nonfunctional Regulatory T Cells and Defective Control of Th2 Cytokine Production in Natural Scurfy Mutant Mice. The Journal of Immunology. 183(9). 5662–5672. 59 indexed citations
17.
Peduto, Lucie, Sophie Dulauroy, Matthias Lochner, et al.. (2009). Inflammation Recapitulates the Ontogeny of Lymphoid Stromal Cells. The Journal of Immunology. 182(9). 5789–5799. 103 indexed citations
18.
Osorio, Fabiola, Salomé LeibundGut‐Landmann, Matthias Lochner, et al.. (2008). DC activated via dectin‐1 convert Treg into IL‐17 producers. European Journal of Immunology. 38(12). 3274–3281. 219 indexed citations
19.
Eberl, Gérard & Dan R. Littman. (2004). Thymic Origin of Intestinal αß T Cells Revealed by Fate Mapping of RORγt + Cells. Science. 305(5681). 248–251. 404 indexed citations
20.
Eberl, Gérard, Pierre Brawand, & H. Robson MacDonald. (2000). Selective Bystander Proliferation of Memory CD4+ and CD8+ T Cells Upon NK T or T Cell Activation. The Journal of Immunology. 165(8). 4305–4311. 125 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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