Karine Crozat

9.1k total citations · 5 hit papers
48 papers, 6.8k citations indexed

About

Karine Crozat is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Karine Crozat has authored 48 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 11 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Karine Crozat's work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (20 papers) and Immune Response and Inflammation (17 papers). Karine Crozat is often cited by papers focused on Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (20 papers) and Immune Response and Inflammation (17 papers). Karine Crozat collaborates with scholars based in United States, France and Japan. Karine Crozat's co-authors include Bruce Beutler, Philippe Georgel, Kasper Hoebe, Xin Du, Sosathya Sovath, Suzanne Mudd, Marc Dalod, Sophie Rutschmann, Koichi Tabeta and Edith M. Janssen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Karine Crozat

48 papers receiving 6.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of Lps2 as a key transducer of MyD88-independent TIR signalling

2003 1.0k citations Kasper Hoebe, Xin Du et al. Nature profile →
Toll-like receptors 9 and 3 as essential components of innate immune defense against mouse cytomegalovirus infection

2004 759 citations Koichi Tabeta, Philippe Georgel et al. Proceedings of the National Academy of Sciences profile →
CD36 is a sensor of diacylglycerides

2005 693 citations Kasper Hoebe, Philippe Georgel et al. Nature profile →
GENETIC ANALYSIS OF HOST RESISTANCE: Toll-Like Receptor Signaling and Immunity at Large

2006 625 citations Bruce Beutler, Zhengfan Jiang et al. profile →
The Unc93b1 mutation 3d disrupts exogenous antigen presentation and signaling via Toll-like receptors 3, 7 and 9

2006 553 citations Koichi Tabeta, Kasper Hoebe et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karine Crozat United States	34	5.4k	1.5k	1.1k	757	543	48	6.8k
Edith M. Janssen United States	34	6.3k 1.2×	2.0k 1.3×	1.3k 1.2×	1.4k 1.8×	707 1.3×	69	8.3k
Fabio Re United States	36	4.2k 0.8×	2.7k 1.8×	897 0.8×	648 0.9×	500 0.9×	51	7.2k
Sanna M. Goyert United States	43	4.6k 0.9×	1.5k 1.0×	1.3k 1.2×	436 0.6×	451 0.8×	85	6.8k
John W. Lowenthal Australia	41	3.9k 0.7×	1.3k 0.9×	1.0k 0.9×	758 1.0×	601 1.1×	90	6.3k
Osamu Adachi Japan	16	4.0k 0.7×	1.5k 1.0×	938 0.9×	515 0.7×	1.2k 2.2×	64	5.7k
Chandrashekhar Pasare United States	28	4.2k 0.8×	1.5k 1.0×	733 0.7×	584 0.8×	387 0.7×	53	5.9k
Wei Cao United States	35	5.2k 1.0×	1.6k 1.1×	786 0.7×	728 1.0×	234 0.4×	93	8.3k
Paula Preston‐Hurlburt United States	20	6.0k 1.1×	1.6k 1.1×	1.1k 1.0×	538 0.7×	900 1.7×	36	8.1k
Clifford M. Snapper United States	47	6.1k 1.1×	1.7k 1.2×	1.7k 1.6×	902 1.2×	872 1.6×	122	9.1k
Sosathya Sovath United States	16	3.6k 0.7×	1.2k 0.8×	884 0.8×	367 0.5×	497 0.9×	17	4.7k

Countries citing papers authored by Karine Crozat

Since Specialization

Citations

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

Fields of papers citing papers by Karine Crozat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karine Crozat

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

All Works

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20 of 20 papers shown

Ghislat, Ghita, Christophe Verthuy, Pedro J. Ballester, et al.. (2021). NF-κB–dependent IRF1 activation programs cDC1 dendritic cells to drive antitumor immunity. Science Immunology. 6(61). 77 indexed citations

Ghilas, Sonia, et al.. (2021). Natural killer cells and dendritic epidermal γδ T cells orchestrate type 1 conventional DC spatiotemporal repositioning toward CD8+ T cells. iScience. 24(9). 103059–103059. 21 indexed citations

Mattiuz, Raphaël, Christian Wohn, Sonia Ghilas, et al.. (2018). Novel Cre-Expressing Mouse Strains Permitting to Selectively Track and Edit Type 1 Conventional Dendritic Cells Facilitate Disentangling Their Complexity in vivo. Frontiers in Immunology. 9. 2805–2805. 31 indexed citations

Crozat, Karine, Jean‐Michel Saliou, Tchilabalo Dilezitoko Alayi, et al.. (2017). Profiling MHC II immunopeptidome of blood‐stage malaria reveals that cDC 1 control the functionality of parasite‐specific CD 4 T cells. EMBO Molecular Medicine. 9(11). 1605–1621. 28 indexed citations

Cocita, Clément, Rachel Guiton, Gilles Bessou, et al.. (2015). Natural Killer Cell Sensing of Infected Cells Compensates for MyD88 Deficiency but Not IFN-I Activity in Resistance to Mouse Cytomegalovirus. PLoS Pathogens. 11(5). e1004897–e1004897. 14 indexed citations

Baranek, Thomas, Thien‐Phong Vu Manh, Yannick O. Alexandre, et al.. (2012). Differential Responses of Immune Cells to Type I Interferon Contribute to Host Resistance to Viral Infection. Cell Host & Microbe. 12(4). 571–584. 79 indexed citations

Krebs, Philippe, Karine Crozat, Daniel L. Popkin, Michael B. A. Oldstone, & Bruce Beutler. (2011). Disruption of MyD88 signaling suppresses hemophagocytic lymphohistiocytosis in mice. Blood. 117(24). 6582–6588. 48 indexed citations

Narni-Mancinelli, Émilie, Saïdi M. Soudja, Karine Crozat, et al.. (2011). Inflammatory Monocytes and Neutrophils Are Licensed to Kill during Memory Responses In Vivo. PLoS Pathogens. 7(12). e1002457–e1002457. 51 indexed citations

Crozat, Karine, Rachel Guiton, Martin Guilliams, et al.. (2010). Comparative genomics as a tool to reveal functional equivalences between human and mouse dendritic cell subsets. Immunological Reviews. 234(1). 177–198. 140 indexed citations

10.

Barnes, Michael J., Philippe Krebs, Nathaniel Harris, et al.. (2009). Commitment to the Regulatory T Cell Lineage Requires CARMA1 in the Thymus but Not in the Periphery. PLoS Biology. 7(3). e1000051–e1000051. 89 indexed citations

11.

Blasius, Amanda L., Katharina Brandl, Karine Crozat, et al.. (2009). Mice with mutations of Dock7 have generalized hypopigmentation and white-spotting but show normal neurological function. Proceedings of the National Academy of Sciences. 106(8). 2706–2711. 35 indexed citations

12.

Zucchini, Nicolas, Karine Crozat, Thomas Baranek, et al.. (2008). Natural killer cells in immunodefense against infective agents. Expert Review of Anti-infective Therapy. 6(6). 867–885. 30 indexed citations

13.

Crozat, Karine, Kasper Hoebe, Sophie Ugolini, et al.. (2008). Jinx, an MCMV susceptibility phenotype caused by disruption of Unc13d: a mouse model of type 3 familial hemophagocytic lymphohistiocytosis. The Journal of Experimental Medicine. 205(3). 737–737. 12 indexed citations

14.

Schabbauer, Gernot, James P. Luyendyk, Karine Crozat, et al.. (2008). TLR4/CD14-mediated PI3K activation is an essential component of interferon-dependent VSV resistance in macrophages. Molecular Immunology. 45(10). 2790–2796. 47 indexed citations

15.

Crozat, Karine, Kasper Hoebe, Sophie Ugolini, et al.. (2007). Jinx , an MCMV susceptibility phenotype caused by disruption of Unc13d : a mouse model of type 3 familial hemophagocytic lymphohistiocytosis. The Journal of Experimental Medicine. 204(4). 853–863. 138 indexed citations

16.

Jiang, Zhengfan, Philippe Georgel, Chenglong Li, et al.. (2006). Details of Toll-like receptor:adapter interaction revealed by germ-line mutagenesis. Proceedings of the National Academy of Sciences. 103(29). 10961–10966. 113 indexed citations

17.

Crozat, Karine, Philippe Georgel, Sophie Rutschmann, et al.. (2006). Analysis of the MCMV resistome by ENU mutagenesis. Mammalian Genome. 17(5). 398–406. 48 indexed citations

18.

Hoebe, Kasper, Philippe Georgel, Sophie Rutschmann, et al.. (2005). CD36 is a sensor of diacylglycerides. Nature. 433(7025). 523–527. 693 indexed citations breakdown →

19.

Du, Xin, Koichi Tabeta, Kasper Hoebe, et al.. (2004). Velvet, a Dominant Egfr Mutation That Causes Wavy Hair and Defective Eyelid Development in Mice. Genetics. 166(1). 331–340. 62 indexed citations

20.

Beutler, Bruce, Karine Crozat, James A. Koziol, & Philippe Georgel. (2004). Genetic dissection of innate immunity to infection: the mouse cytomegalovirus model. Current Opinion in Immunology. 17(1). 36–43. 41 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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