Anne Blangy

5.1k total citations · 1 hit paper
63 papers, 4.1k citations indexed

About

Anne Blangy is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Anne Blangy has authored 63 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 26 papers in Cell Biology and 17 papers in Oncology. Recurrent topics in Anne Blangy's work include Bone Metabolism and Diseases (20 papers), Microtubule and mitosis dynamics (13 papers) and Cellular Mechanics and Interactions (13 papers). Anne Blangy is often cited by papers focused on Bone Metabolism and Diseases (20 papers), Microtubule and mitosis dynamics (13 papers) and Cellular Mechanics and Interactions (13 papers). Anne Blangy collaborates with scholars based in France, United States and Switzerland. Anne Blangy's co-authors include Erich A. Nigg, Heidi A. Lane, Philippe Fort, Cécile Gauthier‐Rouvière, Maryannick Harper, Michel Kress, Franck Comunale, Sophie Charrasse, Gilles Gadéa and Virginie Vives and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Anne Blangy

61 papers receiving 4.1k citations

Hit Papers

Phosphorylation by p34cdc... 1995 2026 2005 2015 1995 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anne Blangy 3.1k 2.1k 771 321 306 63 4.1k
Pamela Cowin 4.1k 1.3× 1.8k 0.9× 1.2k 1.5× 300 0.9× 347 1.1× 72 5.7k
Guido Posern 2.6k 0.8× 1.1k 0.5× 500 0.6× 330 1.0× 408 1.3× 52 3.7k
Yoshihiko Yamakita 1.8k 0.6× 2.0k 1.0× 376 0.5× 298 0.9× 477 1.6× 40 3.3k
Patricia J. Gallagher 2.8k 0.9× 1.2k 0.6× 348 0.5× 419 1.3× 730 2.4× 56 4.0k
Menachem Katz 2.4k 0.8× 1.0k 0.5× 865 1.1× 339 1.1× 366 1.2× 18 3.5k
Gianni M. Di Guglielmo 2.6k 0.8× 982 0.5× 530 0.7× 610 1.9× 317 1.0× 41 3.5k
Joan Levy 2.6k 0.8× 545 0.3× 955 1.2× 487 1.5× 397 1.3× 58 3.6k
Klaudia Giehl 2.1k 0.7× 951 0.5× 749 1.0× 233 0.7× 511 1.7× 52 3.3k
Shun‐ichiro Iemura 3.6k 1.1× 1.3k 0.7× 629 0.8× 300 0.9× 67 0.2× 77 4.5k
Toshiro Moroishi 3.2k 1.0× 3.6k 1.7× 705 0.9× 352 1.1× 138 0.5× 51 5.2k

Countries citing papers authored by Anne Blangy

Since Specialization
Citations

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

Fields of papers citing papers by Anne Blangy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Blangy

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Blangy. A scholar is included among the top collaborators of Anne Blangy 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 Anne Blangy. Anne Blangy 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.
2.
Guérit, David, Pauline Marie, Anne Morel, et al.. (2020). Primary myeloid cell proteomics and transcriptomics: importance of β-tubulin isotypes for osteoclast function. Journal of Cell Science. 133(10). 13 indexed citations
3.
Tóth, Petra, Anne Blangy, Nicolas Vitale, et al.. (2020). The atypical Rho GTPase RhoU interacts with intersectin-2 to regulate endosomal recycling pathways. Journal of Cell Science. 133(16). 7 indexed citations
4.
Blangy, Anne, Guillaume Bompard, David Guérit, et al.. (2020). The osteoclast cytoskeleton – current understanding and therapeutic perspectives for osteoporosis. Journal of Cell Science. 133(13). 50 indexed citations
5.
Morel, Anne, et al.. (2019). Dock5 is a new regulator of microtubule dynamic instability in osteoclasts. Biology of the Cell. 111(11). 271–283. 12 indexed citations
6.
Thuault, Sylvie, Franck Comunale, Mathieu Fortier, et al.. (2016). The RhoE/ROCK/ARHGAP25 signaling pathway controls cell invasion by inhibition of Rac activity. Molecular Biology of the Cell. 27(17). 2653–2661. 28 indexed citations
7.
Georgess, Dan, Irma Machuca‐Gayet, Anne Blangy, & Pierre Jurdic. (2014). Podosome organization drives osteoclast-mediated bone resorption. Cell Adhesion & Migration. 8(3). 192–204. 147 indexed citations
8.
Vives, Virginie, et al.. (2014). The mineral dissolution function of osteoclasts is dispensable for hypertrophic cartilage degradation during long bone development and growth. Developmental Biology. 393(1). 57–70. 29 indexed citations
10.
Bouquier, Nathalie, Emmanuel Vignal, Sophie Charrasse, et al.. (2009). A Cell Active Chemical GEF Inhibitor Selectively Targets the Trio/RhoG/Rac1 Signaling Pathway. Chemistry & Biology. 16(6). 657–666. 84 indexed citations
11.
Qadota, Hiroshi, Anne Blangy, Ge Xiong, & Guy M. Benian. (2008). The DH-PH Region of the Giant Protein UNC-89 Activates RHO-1 GTPase in Caenorhabditis elegans Body Wall Muscle. Journal of Molecular Biology. 383(4). 747–752. 35 indexed citations
12.
D’Angelo, Romina, Sandra Aresta, Anne Blangy, et al.. (2007). Interaction of Ezrin with the Novel Guanine Nucleotide Exchange Factor PLEKHG6 Promotes RhoG-dependent Apical Cytoskeleton Rearrangements in Epithelial Cells. Molecular Biology of the Cell. 18(12). 4780–4793. 58 indexed citations
13.
Charrasse, Sophie, et al.. (2005). RhoA GTPase Regulates M-Cadherin Activity and Myoblast Fusion. Molecular Biology of the Cell. 17(2). 749–759. 111 indexed citations
14.
Toledo, Marion de, Francesca Senic-Matuglia, Jean Salamero, et al.. (2003). The GTP/GDP Cycling of Rho GTPase TCL Is an Essential Regulator of the Early Endocytic Pathway. Molecular Biology of the Cell. 14(12). 4846–4856. 46 indexed citations
15.
Mary, Sophie, Sophie Charrasse, Mayya Mériane, et al.. (2002). Biogenesis of N-Cadherin-dependent Cell-Cell Contacts in Living Fibroblasts Is a Microtubule-dependent Kinesin-driven Mechanism. Molecular Biology of the Cell. 13(1). 285–301. 126 indexed citations
16.
Toledo, Marion de, Vincent Coulon, Susanne Schmidt, Philippe Fort, & Anne Blangy. (2001). The gene for a new brain specific RhoA exchange factor maps to the highly unstable chromosomal region 1p36.2–1p36.3.. Oncogene. 20(50). 7307–7317. 40 indexed citations
17.
Blangy, Anne, Emmanuel Vignal, Susanne Schmidt, et al.. (2000). TrioGEF1 controls Rac- and Cdc42-dependent cell structures through the direct activation of RhoG. Journal of Cell Science. 113(4). 729–739. 147 indexed citations
18.
Vignal, Emmanuel, Marion de Toledo, Franck Comunale, et al.. (2000). Characterization of TCL, a New GTPase of the Rho Family related to TC10 and Cdc42. Journal of Biological Chemistry. 275(46). 36457–36464. 100 indexed citations
19.
Blangy, Anne, et al.. (1995). Phosphorylation by p34cdc2 regulates spindle association of human Eg5, a kinesin-related motor essential for bipolar spindle formation in vivo. Cell. 83(7). 1159–1169. 787 indexed citations breakdown →
20.
Blangy, Anne, et al.. (1991). Recognition of the CDEl motif GTCACATG by mouse nuclear proteins and interference with the early development of the mouse embryo. Nucleic Acids Research. 19(25). 7243–7250. 10 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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