Chantal Bécourt

937 total citations
18 papers, 768 citations indexed

About

Chantal Bécourt is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Chantal Bécourt has authored 18 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Genetics and 7 papers in Surgery. Recurrent topics in Chantal Bécourt's work include Immune Cell Function and Interaction (9 papers), Diabetes and associated disorders (8 papers) and T-cell and B-cell Immunology (8 papers). Chantal Bécourt is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Diabetes and associated disorders (8 papers) and T-cell and B-cell Immunology (8 papers). Chantal Bécourt collaborates with scholars based in France, Morocco and Mali. Chantal Bécourt's co-authors include Bruno Martin, Bruno Lucas, Boris Bienvenu, Christian Boîtard, Kamel Benlagha, Jean‐Marc Doisne, Corinne Cordier, Jean‐François Bach, Cédric Auffray and Nádia Duarte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

In The Last Decade

Chantal Bécourt

18 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chantal Bécourt France 12 583 208 146 103 81 18 768
Véronique Laloux France 8 869 1.5× 378 1.8× 196 1.3× 145 1.4× 134 1.7× 9 1.0k
Maigan A. Hulme United States 10 499 0.9× 425 2.0× 300 2.1× 230 2.2× 97 1.2× 10 872
John Marker United States 6 858 1.5× 597 2.9× 241 1.7× 192 1.9× 66 0.8× 7 1.2k
Peter Eerligh Netherlands 12 290 0.5× 285 1.4× 129 0.9× 106 1.0× 34 0.4× 19 576
Mériam Belghith Tunisia 7 503 0.9× 375 1.8× 188 1.3× 144 1.4× 55 0.7× 13 794
Evridiki Sgouroudis Canada 11 977 1.7× 539 2.6× 205 1.4× 124 1.2× 120 1.5× 13 1.3k
Angelica Olcott United States 7 337 0.6× 166 0.8× 87 0.6× 59 0.6× 33 0.4× 8 479
Antoinette M. Joosten Netherlands 12 367 0.6× 375 1.8× 347 2.4× 227 2.2× 55 0.7× 14 783
Jae Lee United States 8 580 1.0× 530 2.5× 299 2.0× 181 1.8× 70 0.9× 8 1.1k
M E Fisfalen United States 10 424 0.7× 472 2.3× 80 0.5× 273 2.7× 37 0.5× 14 763

Countries citing papers authored by Chantal Bécourt

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Bécourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chantal Bécourt

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

All Works

18 of 18 papers shown
1.
Drouot, Laurent, J. Martinet, Chantal Bécourt, et al.. (2023). Icos gene disruption in non‐obese diabetic mice elicits myositis associated with anti‐troponin T3 autoantibodies. Neuropathology and Applied Neurobiology. 49(1). e12889–e12889. 3 indexed citations
2.
Briet, Claire, Ute C. Rogner, Chantal Bécourt, et al.. (2017). The Spontaneous Autoimmune Neuromyopathy in ICOSL−/− NOD Mice Is CD4+ T-Cell and Interferon-γ Dependent. Frontiers in Immunology. 8. 287–287. 6 indexed citations
3.
Li, Shamin, Chantal Bécourt, Jihène Klibi, et al.. (2014). Potential Role of IL-17-Producing iNKT Cells in Type 1 Diabetes. PLoS ONE. 9(4). e96151–e96151. 20 indexed citations
4.
Luce, Sandrine, Claire Briet, Chantal Bécourt, François A. Lemonnier, & Christian Boîtard. (2013). The targeting of β ‐cells by T lymphocytes in human type 1 diabetes: clinical perspectives. Diabetes Obesity and Metabolism. 15(s3). 89–97. 3 indexed citations
5.
Doisne, Jean‐Marc, Valérie Soulard, Chantal Bécourt, et al.. (2010). Cutting Edge: Crucial Role of IL-1 and IL-23 in the Innate IL-17 Response of Peripheral Lymph Node NK1.1− Invariant NKT Cells to Bacteria. The Journal of Immunology. 186(2). 662–666. 122 indexed citations
6.
Campion, Armelle Le, Marie‐Claude Gagnerault, Cédric Auffray, et al.. (2009). Lymphopenia-induced spontaneous T-cell proliferation as a cofactor for autoimmune disease development. Blood. 114(9). 1784–1793. 69 indexed citations
7.
Doisne, Jean‐Marc, Chantal Bécourt, Nádia Duarte, et al.. (2009). Skin and Peripheral Lymph Node Invariant NKT Cells Are Mainly Retinoic Acid Receptor-Related Orphan Receptor γt+ and Respond Preferentially under Inflammatory Conditions. The Journal of Immunology. 183(3). 2142–2149. 120 indexed citations
8.
Bienvenu, Boris, et al.. (2008). Regulatory CD4+ T Cells Are Crucial for Preventing CD8+ T Cell-Mediated Autoimmunity. The Journal of Immunology. 180(11). 7294–7304. 11 indexed citations
9.
Martin, Bruno, Chantal Bécourt, Boris Bienvenu, & Bruno Lucas. (2006). Self-recognition is crucial for maintaining the peripheral CD4+ T-cell pool in a nonlymphopenic environment. Blood. 108(1). 270–277. 59 indexed citations
10.
Bienvenu, Boris, Bruno Martin, Cédric Auffray, et al.. (2005). Peripheral CD8+CD25+ T Lymphocytes from MHC Class II-Deficient Mice Exhibit Regulatory Activity. The Journal of Immunology. 175(1). 246–253. 85 indexed citations
11.
Martin, Bruno, Alice Banz, Boris Bienvenu, et al.. (2004). Suppression of CD4+ T Lymphocyte Effector Functions by CD4+CD25+ Cells In Vivo. The Journal of Immunology. 172(6). 3391–3398. 77 indexed citations
12.
Halbout, Philippe, Jean‐Paul Briand, Chantal Bécourt, Sylviane Muller, & Christian Boîtard. (2002). T Cell Response to Preproinsulin I and II in the Nonobese Diabetic Mouse. The Journal of Immunology. 169(5). 2436–2443. 53 indexed citations
13.
Larger, Étienne, Chantal Bécourt, Jean‐François Bach, & Christian Boîtard. (1995). Pancreatic islet beta cells drive T cell-immune responses in the nonobese diabetic mouse model.. The Journal of Experimental Medicine. 181(5). 1635–1642. 57 indexed citations
14.
Bécourt, Chantal, et al.. (1992). Autoantibodies against pancreatic β-cells: Characterization by western blot analysis in the non-obese diabetic (NOD) mouse. Journal of Autoimmunity. 5(1). 47–58. 6 indexed citations
15.
Boîtard, Christian, et al.. (1992). Peripherin: an islet antigen that is cross-reactive with nonobese diabetic mouse class II gene products.. Proceedings of the National Academy of Sciences. 89(1). 172–176. 45 indexed citations
16.
Boîtard, Christian, et al.. (1991). Monoclonal antibodies: probes for studying experimental autoimmunity in animals. Research in Immunology. 142(5-6). 495–503. 2 indexed citations
17.
Djabali, Karima, Françoise Landon, Chantal Bécourt, et al.. (1991). Origin of the Beta Cells of the Islets of Langerhans is Further Questioned by the Expression of Neuronal Intermediate Filament Proteins, Peripherin and NF-L, in the Rat Insulinoma RIN5F Cell Line. Developmental Neuroscience. 13(6). 424–432. 26 indexed citations
18.
Boîtard, Christian, et al.. (1989). [Cross-reactivity between major histocompatibility complex class II antigens in mice NOD and an islet antigen with 58 kDA molecular weight].. PubMed. 309(7). 229–34. 4 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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