Fabien Conchonaud

1.3k total citations
9 papers, 1.0k citations indexed

About

Fabien Conchonaud is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Fabien Conchonaud has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Fabien Conchonaud's work include Lipid Membrane Structure and Behavior (4 papers), Cell death mechanisms and regulation (2 papers) and Fibroblast Growth Factor Research (2 papers). Fabien Conchonaud is often cited by papers focused on Lipid Membrane Structure and Behavior (4 papers), Cell death mechanisms and regulation (2 papers) and Fibroblast Growth Factor Research (2 papers). Fabien Conchonaud collaborates with scholars based in France, Germany and Morocco. Fabien Conchonaud's co-authors include Didier Marguet, Pierre‐François Lenne, Hervé Rigneault, Hai‐Tao He, L. Wawrezinieck, Xiaojun Guo, Annie Boned, Olivier Wurtz, Anne‐Odile Hueber and Jérôme Wenger and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Blood.

In The Last Decade

Fabien Conchonaud

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabien Conchonaud France	8	801	230	212	159	141	9	1.0k
Eric Wait United States	14	856 1.1×	306 1.3×	351 1.7×	53 0.3×	39 0.3×	24	1.4k
Matthew G. Rubashkin United States	7	423 0.5×	469 2.0×	90 0.4×	214 1.3×	131 0.9×	10	1.1k
Gertrude Bunt Germany	17	904 1.1×	526 2.3×	209 1.0×	47 0.3×	59 0.4×	22	1.4k
Wei Ji China	18	725 0.9×	203 0.9×	605 2.9×	76 0.5×	85 0.6×	44	1.4k
L. Wawrezinieck France	6	732 0.9×	141 0.6×	321 1.5×	72 0.5×	234 1.7×	6	911
Vadim S. Kraynov United States	10	1.1k 1.3×	565 2.5×	176 0.8×	70 0.4×	32 0.2×	10	1.6k
Matthew E. Berginski United States	13	445 0.6×	501 2.2×	83 0.4×	74 0.5×	87 0.6×	23	994
Anna Szymborska Germany	11	1.0k 1.3×	341 1.5×	311 1.5×	42 0.3×	38 0.3×	13	1.5k
Uthpala Seneviratne United States	13	482 0.6×	90 0.4×	263 1.2×	46 0.3×	47 0.3×	22	965
Jonathon A. Ditlev United States	16	1.9k 2.3×	469 2.0×	87 0.4×	219 1.4×	58 0.4×	22	2.3k

Countries citing papers authored by Fabien Conchonaud

Since Specialization

Citations

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

Fields of papers citing papers by Fabien Conchonaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Conchonaud

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

All Works

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9 of 9 papers shown

Lasserre, Rémi, Xiaojun Guo, Fabien Conchonaud, et al.. (2008). Raft nanodomains contribute to Akt/PKB plasma membrane recruitment and activation. Nature Chemical Biology. 4(9). 538–547. 241 indexed citations

Conchonaud, Fabien, Stéphane Nicolas, Marie‐Claude Amoureux, et al.. (2007). Polysialylation Increases Lateral Diffusion of Neural Cell Adhesion Molecule in the Cell Membrane. Journal of Biological Chemistry. 282(36). 26266–26274. 20 indexed citations

Popovici, Cornel, et al.. (2006). Direct and heterologous approaches to identify the LET-756/FGF interactome. BMC Genomics. 7(1). 105–105. 7 indexed citations

Wenger, Jérôme, Fabien Conchonaud, José Dintinger, et al.. (2006). Diffusion Analysis within Single Nanometric Apertures Reveals the Ultrafine Cell Membrane Organization. Biophysical Journal. 92(3). 913–919. 115 indexed citations

Chakrabandhu, Krittalak, Zoltán Hérincs, Sébastien Huault, et al.. (2006). Palmitoylation is required for efficient Fas cell death signaling. The EMBO Journal. 26(1). 209–220. 147 indexed citations

Wenger, Jérôme, Davy Gérard, Pierre‐François Lenne, et al.. (2006). Dual-color fluorescence cross-correlation spectroscopy in a single nanoaperture : towards rapid multicomponent screening at high concentrations. Optics Express. 14(25). 12206–12206. 36 indexed citations

Lenne, Pierre‐François, L. Wawrezinieck, Fabien Conchonaud, et al.. (2006). Dynamic molecular confinement in the plasma membrane by microdomains and the cytoskeleton meshwork. The EMBO Journal. 25(14). 3245–3256. 370 indexed citations

Cahuzac, Nathalie, Vladimir Kirkin, Fabien Conchonaud, et al.. (2005). Fas ligand is localized to membrane rafts, where it displays increased cell death–inducing activity. Blood. 107(6). 2384–2391. 64 indexed citations

Popovici, Cornel, Fabien Conchonaud, Daniel Birnbaum, & Régine Roubin. (2004). Functional Phylogeny Relates LET-756 to Fibroblast Growth Factor 9. Journal of Biological Chemistry. 279(38). 40146–40152. 17 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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