Coline Prévost

936 total citations
10 papers, 630 citations indexed

About

Coline Prévost is a scholar working on Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Coline Prévost has authored 10 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cell Biology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Coline Prévost's work include Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (5 papers) and Force Microscopy Techniques and Applications (3 papers). Coline Prévost is often cited by papers focused on Cellular transport and secretion (7 papers), Lipid Membrane Structure and Behavior (5 papers) and Force Microscopy Techniques and Applications (3 papers). Coline Prévost collaborates with scholars based in France, United States and Finland. Coline Prévost's co-authors include Patricia Bassereau, Gregory A. Voth, Andrew Callan-Jones, Mijo Simunovic, Qingqing Lin, Tobias C. Walther, Robert V. Farese, Emmanuel Lemichez, Nora Kory and Pekka Lappalainen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Cell Science.

In The Last Decade

Coline Prévost

10 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Coline Prévost France 10 494 299 144 93 74 10 630
Manuel Moertelmaier Austria 10 264 0.5× 98 0.3× 156 1.1× 200 2.2× 65 0.9× 16 677
Pavel V. Bashkirov Russia 12 482 1.0× 275 0.9× 17 0.1× 76 0.8× 102 1.4× 26 588
Aniruddha Panda United States 6 357 0.7× 175 0.6× 26 0.2× 31 0.3× 46 0.6× 12 440
Anirban Polley India 10 425 0.9× 149 0.5× 13 0.1× 73 0.8× 51 0.7× 15 527
Haosheng Cui United States 6 455 0.9× 312 1.0× 15 0.1× 102 1.1× 60 0.8× 6 517
Fátima-Zahra Idrissi Spain 17 809 1.6× 552 1.8× 301 2.1× 37 0.4× 116 1.6× 21 995
Kasey J. Day United States 12 654 1.3× 410 1.4× 35 0.2× 19 0.2× 31 0.4× 15 769
Zachary T. Graber United States 9 369 0.7× 246 0.8× 16 0.1× 77 0.8× 107 1.4× 15 544
Barbara Diaz‐Rohrer United States 8 503 1.0× 165 0.6× 29 0.2× 41 0.4× 66 0.9× 17 597
Patrick C. Hoffmann Germany 12 432 0.9× 121 0.4× 30 0.2× 24 0.3× 29 0.4× 17 564

Countries citing papers authored by Coline Prévost

Since Specialization
Citations

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

Fields of papers citing papers by Coline Prévost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Coline Prévost

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

All Works

10 of 10 papers shown
1.
Prévost, Coline, Nora Kory, Qingqing Lin, et al.. (2018). Mechanism and Determinants of Amphipathic Helix-Containing Protein Targeting to Lipid Droplets. Developmental Cell. 44(1). 73–86.e4. 166 indexed citations
2.
Ugarte‐Uribe, Begoña, Coline Prévost, Kushal Kumar Das, Patricia Bassereau, & Ana J. García‐Sáez. (2018). Drp1 polymerization stabilizes curved tubular membranes similar to those of constricted mitochondria. Journal of Cell Science. 132(4). 20 indexed citations
3.
Prévost, Coline, et al.. (2018). Septin‐based readout of PI(4,5)P2 incorporation into membranes of giant unilamellar vesicles. Cytoskeleton. 76(1). 92–103. 24 indexed citations
4.
Prévost, Coline, Feng‐Ching Tsai, Patricia Bassereau, & Mijo Simunovic. (2017). Pulling Membrane Nanotubes from Giant Unilamellar Vesicles. Journal of Visualized Experiments. 28 indexed citations
5.
Stefani, Caroline, David Gonzalez‐Rodriguez, Yosuke Senju, et al.. (2017). Ezrin enhances line tension along transcellular tunnel edges via NMIIa driven actomyosin cable formation. Nature Communications. 8(1). 15839–15839. 22 indexed citations
6.
Simunovic, Mijo, Coline Prévost, Andrew Callan-Jones, & Patricia Bassereau. (2016). Physical basis of some membrane shaping mechanisms. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 374(2072). 20160034–20160034. 36 indexed citations
7.
Simunovic, Mijo, Emma Evergren, Coline Prévost, et al.. (2016). How curvature-generating proteins build scaffolds on membrane nanotubes. Proceedings of the National Academy of Sciences. 113(40). 11226–11231. 97 indexed citations
8.
Prévost, Coline, Hongxia Zhao, John Manzi, et al.. (2015). IRSp53 senses negative membrane curvature and phase separates along membrane tubules. Nature Communications. 6(1). 8529–8529. 158 indexed citations
9.
Garten, Matthias, Coline Prévost, Clotilde Cadart, et al.. (2015). Methyl-branched lipids promote the membrane adsorption of α-synuclein by enhancing shallow lipid-packing defects. Physical Chemistry Chemical Physics. 17(24). 15589–15597. 41 indexed citations
10.
Yamada, Ayako, Aurélie Di Cicco, Coline Prévost, et al.. (2014). Catch-bond behaviour facilitates membrane tubulation by non-processive myosin 1b. Nature Communications. 5(1). 3624–3624. 38 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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