Danielle Gulino-Debrac

826 total citations
16 papers, 639 citations indexed

About

Danielle Gulino-Debrac is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Danielle Gulino-Debrac has authored 16 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Immunology and Allergy. Recurrent topics in Danielle Gulino-Debrac's work include Cell Adhesion Molecules Research (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cellular Mechanics and Interactions (7 papers). Danielle Gulino-Debrac is often cited by papers focused on Cell Adhesion Molecules Research (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Cellular Mechanics and Interactions (7 papers). Danielle Gulino-Debrac collaborates with scholars based in France and United Kingdom. Danielle Gulino-Debrac's co-authors include Evelyne Concord, Philippe Huber, Stéphanie Bibert, Thierry Vernet, Marianne Weidenhaupt, Bernard Dublet, Claire Durmort, E.A. Hewat, Isabelle Vilgrain and Sébastien Almagro and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Danielle Gulino-Debrac

16 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Gulino-Debrac France 13 378 233 147 119 70 16 639
Florian Wessel Germany 5 226 0.6× 104 0.4× 125 0.9× 113 0.9× 39 0.6× 7 465
Emma Spanjaard Netherlands 8 347 0.9× 337 1.4× 135 0.9× 41 0.3× 38 0.5× 12 606
Shandiz Tehrani United States 14 338 0.9× 197 0.8× 97 0.7× 65 0.5× 43 0.6× 29 1.0k
Thomas D. Nightingale United Kingdom 15 353 0.9× 264 1.1× 85 0.6× 197 1.7× 40 0.6× 22 822
Joppe Oldenburg Netherlands 8 282 0.7× 336 1.4× 142 1.0× 68 0.6× 18 0.3× 10 622
Laura Fernández‐Martín Spain 7 218 0.6× 173 0.7× 70 0.5× 57 0.5× 32 0.5× 10 406
Kamila Bledzka United States 14 315 0.8× 255 1.1× 440 3.0× 151 1.3× 52 0.7× 19 783
Peter J. Noy United Kingdom 14 389 1.0× 94 0.4× 166 1.1× 98 0.8× 96 1.4× 17 625
Ines Nasdala Germany 6 276 0.7× 99 0.4× 169 1.1× 126 1.1× 38 0.5× 8 546

Countries citing papers authored by Danielle Gulino-Debrac

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Gulino-Debrac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Gulino-Debrac. 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 Danielle Gulino-Debrac. The network helps show where Danielle Gulino-Debrac may publish in the future.

Co-authorship network of co-authors of Danielle Gulino-Debrac

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

All Works

16 of 16 papers shown
1.
Migdal, Camille, Nicolas Bouchonville, D. Fuard, et al.. (2022). Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing. Nanomaterials. 12(4). 648–648. 4 indexed citations
2.
Sidibé, Adama, Karin Pernet‐Gallay, Tiphaine Mannic, et al.. (2014). VE-cadherin Y685F knock-in mouse is sensitive to vascular permeability in recurrent angiogenic organs. American Journal of Physiology-Heart and Circulatory Physiology. 307(3). H455–H463. 21 indexed citations
3.
Sidibé, Adama, Tiphaine Mannic, Philippe Huber, et al.. (2014). Dynamic phosphorylation of VE-cadherin Y685 throughout mouse estrous cycle in ovary and uterus. American Journal of Physiology-Heart and Circulatory Physiology. 307(3). H448–H454. 7 indexed citations
4.
Loughian, Christelle Der, D. Fuard, Marie Courçon, et al.. (2013). Intracellular stresses in patterned cell assemblies. Soft Matter. 10(14). 2414–2423. 17 indexed citations
5.
Gulino-Debrac, Danielle. (2013). Mechanotransduction at the basis of endothelial barrier function. Tissue Barriers. 1(2). e24180–e24180. 59 indexed citations
6.
Vilgrain, Isabelle, Adama Sidibé, Francine Cand, et al.. (2013). Evidence for Post-Translational Processing of Vascular Endothelial (VE)-Cadherin in Brain Tumors: Towards a Candidate Biomarker. PLoS ONE. 8(12). e80056–e80056. 20 indexed citations
7.
Courçon, Marie, Sébastien Almagro, Alice Nicolas, et al.. (2011). Epithelial Protein Lost In Neoplasm (EPLIN) Interacts with α-Catenin and Actin Filaments in Endothelial Cells and Stabilizes Vascular Capillary Network in Vitro. Journal of Biological Chemistry. 287(10). 7556–7572. 61 indexed citations
8.
Almagro, Sébastien, Claire Durmort, Mathilde Dubois, et al.. (2010). The Motor Protein Myosin-X Transports VE-Cadherin along Filopodia To Allow the Formation of Early Endothelial Cell-Cell Contacts. Molecular and Cellular Biology. 30(7). 1703–1717. 60 indexed citations
9.
Taveau, Jean‐Christophe, Mathilde Dubois, Olivier Le Bihan, et al.. (2008). Structure of artificial and natural VE-cadherinbased adherens junctions. Biochemical Society Transactions. 36(2). 189–193. 27 indexed citations
10.
Jaquinod, Michel, Claire Durmort, Emilie Dambroise, et al.. (2007). Contribution of Annexin 2 to the Architecture of Mature Endothelial Adherens Junctions. Molecular and Cellular Biology. 28(5). 1657–1668. 42 indexed citations
11.
Hewat, E.A., Claire Durmort, Lilian Jacquamet, Evelyne Concord, & Danielle Gulino-Debrac. (2006). Architecture of the VE-cadherin Hexamer. Journal of Molecular Biology. 365(3). 744–751. 24 indexed citations
12.
Lambert, Olivier, et al.. (2005). The Basic Framework of VE-cadherin Junctions Revealed by Cryo-EM. Journal of Molecular Biology. 346(5). 1193–1196. 21 indexed citations
13.
Lambeng, Nathalie, Yann Wallez, Christine Rampon, et al.. (2005). Vascular Endothelial–Cadherin Tyrosine Phosphorylation in Angiogenic and Quiescent Adult Tissues. Circulation Research. 96(3). 384–391. 96 indexed citations
14.
Gulino-Debrac, Danielle, et al.. (2004). A Soluble VE-cadherin Fragment Forms 2D Arrays of Dimers upon Binding to a Lipid Monolayer. Journal of Molecular Biology. 337(4). 881–892. 9 indexed citations
15.
Bibert, Stéphanie, Evelyne Concord, Bernard Dublet, et al.. (2003). Identification of Proteases Involved in the Proteolysis of Vascular Endothelium Cadherin during Neutrophil Transmigration. Journal of Biological Chemistry. 278(16). 14002–14012. 141 indexed citations
16.
Bibert, Stéphanie, Michel Jaquinod, Evelyne Concord, et al.. (2002). Synergy between Extracellular Modules of Vascular Endothelial Cadherin Promotes Homotypic Hexameric Interactions. Journal of Biological Chemistry. 277(15). 12790–12801. 30 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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