Jean‐Claude Mevel

609 total citations
15 papers, 508 citations indexed

About

Jean‐Claude Mevel is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Jean‐Claude Mevel has authored 15 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Jean‐Claude Mevel's work include Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Cell Adhesion Molecules Research (3 papers). Jean‐Claude Mevel is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), T-cell and B-cell Immunology (4 papers) and Cell Adhesion Molecules Research (3 papers). Jean‐Claude Mevel collaborates with scholars based in France, Brazil and United Arab Emirates. Jean‐Claude Mevel's co-authors include Maïté Coppey‐Moisan, Marc Tramier, D Mouton, Y Bouthillier, Nicolas Audugé, Sergi Padilla‐Parra, Hervé Lalucque, Jacques Couderc, Anne Puel and N Feingold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Jean‐Claude Mevel

15 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Claude Mevel France 10 202 125 80 80 76 15 508
Nicole J. Kubat United States 11 162 0.8× 56 0.4× 32 0.4× 37 0.5× 124 1.6× 14 669
Lynn Huyck Belgium 6 292 1.4× 50 0.4× 40 0.5× 161 2.0× 75 1.0× 9 716
Xiao-Ping Xu United States 8 293 1.5× 60 0.5× 68 0.8× 248 3.1× 418 5.5× 11 931
Jan Schlegel Germany 14 317 1.6× 106 0.8× 26 0.3× 43 0.5× 92 1.2× 34 571
Guissou A. Dabiri United States 11 519 2.6× 56 0.4× 40 0.5× 236 3.0× 85 1.1× 11 916
Gary Laevsky United States 9 308 1.5× 55 0.4× 47 0.6× 178 2.2× 59 0.8× 15 647
Bret B. Beyer United States 4 244 1.2× 33 0.3× 10 0.1× 206 2.6× 41 0.5× 6 508
Bruno Guhl Switzerland 15 463 2.3× 15 0.1× 106 1.3× 337 4.2× 179 2.4× 26 957
Daisuke Koga Japan 15 243 1.2× 36 0.3× 43 0.5× 91 1.1× 65 0.9× 41 555
Joao Correia United Kingdom 13 159 0.8× 16 0.1× 18 0.2× 42 0.5× 45 0.6× 23 676

Countries citing papers authored by Jean‐Claude Mevel

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Claude Mevel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Claude Mevel. 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 Jean‐Claude Mevel. The network helps show where Jean‐Claude Mevel may publish in the future.

Co-authorship network of co-authors of Jean‐Claude Mevel

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

All Works

15 of 15 papers shown
1.
Vaudry, Hubert, Jean‐Claude do Rego, Jean‐Claude Mevel, et al.. (2010). Urotensin II, from fish to human. Annals of the New York Academy of Sciences. 1200(1). 53–66. 84 indexed citations
2.
Padilla‐Parra, Sergi, Nicolas Audugé, Hervé Lalucque, et al.. (2009). Quantitative Comparison of Different Fluorescent Protein Couples for Fast FRET-FLIM Acquisition. Biophysical Journal. 97(8). 2368–2376. 77 indexed citations
3.
Durieux, Christiane, Sylvie Hénon, François Gallet, et al.. (2008). Spatiotemporal Analysis of Cell Response to a Rigidity Gradient: A Quantitative Study Using Multiple Optical Tweezers. Biophysical Journal. 96(1). 238–247. 46 indexed citations
4.
Tramier, Marc, et al.. (2006). Sensitivity of CFP/YFP and GFP/mCherry pairs to donor photobleaching on FRET determination by fluorescence lifetime imaging microscopy in living cells. Microscopy Research and Technique. 69(11). 933–939. 143 indexed citations
5.
Araujo, Luiza M., Anne Puel, Christine Gouarin, et al.. (2000). NKT lymphocyte ontogeny and function are impaired in low antibody-producer Biozzi mice: gene mapping in the interval-specific congenic strains raised for immunomodulatory genes. International Immunology. 12(11). 1613–1622. 6 indexed citations
6.
Puel, Anne, Jean‐Claude Mevel, Y Bouthillier, et al.. (1998). Identification of two quantitative trait loci involved in antibody production on mouse chromosome 8. Immunogenetics. 47(4). 326–331. 15 indexed citations
7.
Couderc, Jacques, et al.. (1997). Interactions between H-2 and background genes modulate collagen induced arthritis in high (HI) and low (LI) antibody producer Biozzi mice. Immunology Letters. 58(1). 43–46. 1 indexed citations
8.
Puel, Anne, Jean‐Claude Mevel, Y Bouthillier, et al.. (1996). Toward genetic dissection of high and low antibody responsiveness in Biozzi mice. Proceedings of the National Academy of Sciences. 93(25). 14742–14746. 35 indexed citations
9.
Franco, Marcelo De, et al.. (1995). T helper subset involvement in two high antibody responder lines of mice (Biozzi mice): HI (susceptible) and HII (resistant) to collagen‐induced arthritis. European Journal of Immunology. 25(1). 132–136. 25 indexed citations
10.
Zyad, Abdelmajid, C Decreusefond, Jean‐Claude Mevel, et al.. (1993). T-Cell Compartment Involvement in two High Antibody Responder Lines of Mice (HI and HII Biozzi Mice) Respectively Susceptible and Resistant to Collagen-induced Arthritis. Journal of Autoimmunity. 6(4). 389–404. 4 indexed citations
11.
Vidard, Laurent, Thierry Roger, Jacques Couderc, et al.. (1990). Polymorphism ofTcrb andTcrg genes in Biozzi mice: Segregation analysis of a newTcrg haplotype with antibody responsiveness. Immunogenetics. 32(1). 27–33. 9 indexed citations
12.
Sant’Anna, Osvaldo A., Solange Massa, D Mouton, et al.. (1989). Salmonella typhimurium infection in high and low antibody responder mice: inverse correlation between antibody responsiveness and resistance to infection. FEMS Microbiology Letters. 47(8-9). 465–472. 20 indexed citations
13.
Couderc, Jacques, Y Bouthillier, Jean‐Claude Mevel, & D Mouton. (1989). Evaluation of T helper function in lines of mice selected for high or low antibody production: quantitative inhibition of immune responses by anti-L3T4+ monoclonal antibody. Immunology Letters. 23(1). 21–26. 8 indexed citations
14.
Mouton, D, Osvaldo A. Sant’Anna, Olga M. Ibañez, et al.. (1988). Genetic regulation of multispecific antibody responsiveness: improvement of “high” and “low” characters. European Journal of Immunology. 18(1). 41–49. 19 indexed citations
15.
Sant’Anna, Osvaldo A., D Mouton, Olga M. Ibañez, et al.. (1985). Basal immunoglobulin serum concentration and isotype distribution in relation to the polygenic control of antibody responsiveness in mice. Immunogenetics. 22(2). 131–139. 16 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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