Nicolas Védrenne

720 total citations
18 papers, 544 citations indexed

About

Nicolas Védrenne is a scholar working on Molecular Biology, Developmental Neuroscience and Biomedical Engineering. According to data from OpenAlex, Nicolas Védrenne has authored 18 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Developmental Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Nicolas Védrenne's work include 3D Printing in Biomedical Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Pluripotent Stem Cells Research (2 papers). Nicolas Védrenne is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Pluripotent Stem Cells Research (2 papers). Nicolas Védrenne collaborates with scholars based in France, Netherlands and Hong Kong. Nicolas Védrenne's co-authors include Alexis Desmoulière, Bernard Coulomb, Fabrice Billet, Ludovic Micallef, Ian A. Darby, Laurence Richard, Benoît Funalot, Frédéric Bonté, Aurore Danigo and Marie‐Odile Jauberteau and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Nicolas Védrenne

18 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Védrenne France 11 198 85 84 77 72 18 544
Olaf Holtkötter Germany 5 161 0.8× 83 1.0× 69 0.8× 78 1.0× 63 0.9× 8 576
Shaolong Zhou China 15 202 1.0× 75 0.9× 95 1.1× 92 1.2× 35 0.5× 37 566
Valérie Haydont France 12 181 0.9× 97 1.1× 96 1.1× 61 0.8× 83 1.2× 18 626
Zhigang Yang China 14 300 1.5× 98 1.2× 63 0.8× 112 1.5× 109 1.5× 45 733
Xingyu Chen China 11 274 1.4× 90 1.1× 130 1.5× 91 1.2× 41 0.6× 25 761
Samir M. Abdelmagid United States 16 373 1.9× 76 0.9× 143 1.7× 65 0.8× 46 0.6× 17 755
Reza Ghassemifar Australia 14 216 1.1× 213 2.5× 79 0.9× 45 0.6× 37 0.5× 43 745
Claudia Chávez‐Muñoz Canada 14 240 1.2× 160 1.9× 84 1.0× 92 1.2× 124 1.7× 33 629
Gabryella S. P. Santos Brazil 14 237 1.2× 56 0.7× 134 1.6× 77 1.0× 30 0.4× 23 683
Piia Vehviläinen Finland 11 265 1.3× 66 0.8× 104 1.2× 166 2.2× 28 0.4× 12 812

Countries citing papers authored by Nicolas Védrenne

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Védrenne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Védrenne

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Védrenne. A scholar is included among the top collaborators of Nicolas Védrenne 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 Nicolas Védrenne. Nicolas Védrenne 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.
Bernard, Jean‐Michel, et al.. (2025). Proximal tubule-on-chip as a model for predicting cation transport and drug transporter dynamics. Scientific Reports. 15(1). 2580–2580. 2 indexed citations
2.
Védrenne, Nicolas, Vivian Tam, Xinyi Lin, et al.. (2024). In vitro and in vivo models define a molecular signature reference for human embryonic notochordal cells. iScience. 27(2). 109018–109018. 6 indexed citations
3.
Bach, Frances C., Wilson Chan, Vivian Tam, et al.. (2023). Recommendations for intervertebral disc notochordal cell investigation: From isolation to characterization. JOR Spine. 6(3). e1272–e1272. 15 indexed citations
4.
Védrenne, Nicolas, et al.. (2023). Substrate binding and lipid-mediated allostery in the human organic anion transporter 1 at the atomic-scale. Biomedicine & Pharmacotherapy. 160. 114342–114342. 6 indexed citations
5.
Védrenne, Nicolas, Alexis Régent, Laurence Richard, et al.. (2021). An immunohistochemical analysis of fibroblasts in giant cell arteritis. Annals of Diagnostic Pathology. 52. 151728–151728. 22 indexed citations
6.
Védrenne, Nicolas, Sergii Romanenko, Laurence Richard, et al.. (2020). Optimized Protocol to Generate Spinal Motor Neuron Cells from Induced Pluripotent Stem Cells from Charcot Marie Tooth Patients. Brain Sciences. 10(7). 407–407. 10 indexed citations
7.
Colombier, Pauline, Boris Halgand, Caroline Chariau, et al.. (2020). NOTO Transcription Factor Directs Human Induced Pluripotent Stem Cell-Derived Mesendoderm Progenitors to a Notochordal Fate. Cells. 9(2). 509–509. 25 indexed citations
8.
Védrenne, Nicolas, Vincent Sarrazy, Laurence Richard, et al.. (2017). Isolation of Astrocytes Displaying Myofibroblast Properties and Present in Multiple Sclerosis Lesions. Neurochemical Research. 42(8). 2427–2434. 6 indexed citations
9.
Gobron, Stéphane, F. Vincent, Nicolas Védrenne, et al.. (2017). SCO-spondin oligopeptide inhibits angiogenesis in glioblastoma. Oncotarget. 8(49). 85969–85983. 3 indexed citations
10.
Bessette, Barbara, Nicolas Védrenne, Aurélie Lacroix, et al.. (2016). TrkB-containing exosomes promote the transfer of glioblastoma aggressiveness to YKL-40-inactivated glioblastoma cells. Oncotarget. 7(31). 50349–50364. 61 indexed citations
11.
Védrenne, Nicolas, Miguel Ángel de la Cruz-Morcillo, Laurence Richard, et al.. (2016). New Method for Sorting Endothelial and Neural Progenitors from Human Induced Pluripotent Stem Cells by Sedimentation Field Flow Fractionation. Analytical Chemistry. 88(13). 6696–6702. 15 indexed citations
12.
Védrenne, Nicolas, Vincent Sarrazy, Serge Battu, et al.. (2015). Neural Stem Cell Properties of an Astrocyte Subpopulation Sorted by Sedimentation Field-Flow Fractionation. Rejuvenation Research. 19(5). 362–372. 8 indexed citations
13.
Mollard, Séverine, Hao Qiu, Laurence Richard, et al.. (2014). In vitro 3D angiogenesis assay in egg white matrix: comparison to Matrigel, compatibility to various species, and suitability for drug testing. Laboratory Investigation. 94(3). 340–349. 29 indexed citations
14.
Richard, Laurence, Nicolas Védrenne, Jean‐Michel Vallat, & Benoît Funalot. (2014). Characterization of Endoneurial Fibroblast-like Cells from Human and Rat Peripheral Nerves. Journal of Histochemistry & Cytochemistry. 62(6). 424–435. 47 indexed citations
15.
Sarrazy, Vincent, Nicolas Védrenne, Fabrice Billet, et al.. (2013). Fast astrocyte isolation by sedimentation field flow fractionation. Journal of Chromatography A. 1289. 88–93. 10 indexed citations
16.
Micallef, Ludovic, Nicolas Védrenne, Fabrice Billet, et al.. (2012). The myofibroblast, multiple origins for major roles in normal and pathological tissue repair. PubMed. 5(S1). S5–S5. 188 indexed citations
17.
Sarrazy, Vincent, Nicolas Védrenne, Fabrice Billet, et al.. (2011). TLR4 signal transduction pathways neutralize the effect of Fas signals on glioblastoma cell proliferation and migration. Cancer Letters. 311(2). 195–202. 24 indexed citations
18.
Védrenne, Nicolas, Bernard Coulomb, Aurore Danigo, Frédéric Bonté, & Alexis Desmoulière. (2011). The complex dialogue between (myo)fibroblasts and the extracellular matrix during skin repair processes and ageing. Pathologie Biologie. 60(1). 20–27. 67 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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