Matthieu Chavent

2.7k total citations
52 papers, 1.8k citations indexed

About

Matthieu Chavent is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Matthieu Chavent has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Cell Biology. Recurrent topics in Matthieu Chavent's work include Lipid Membrane Structure and Behavior (18 papers), Protein Structure and Dynamics (17 papers) and Bacterial Genetics and Biotechnology (7 papers). Matthieu Chavent is often cited by papers focused on Lipid Membrane Structure and Behavior (18 papers), Protein Structure and Dynamics (17 papers) and Bacterial Genetics and Biotechnology (7 papers). Matthieu Chavent collaborates with scholars based in France, United Kingdom and United States. Matthieu Chavent's co-authors include Mark S.P. Sansom, Marc Baaden, Anna L. Duncan, Anna Caroline E. Dahl, Heidi Koldsø, Alex Tek, Philip W. Fowler, Charly Empereur‐mot, Zhihan Lv and Tyler Reddy and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthieu Chavent

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Chavent France 24 1.2k 198 194 181 151 52 1.8k
Toshio Moriya Japan 19 932 0.8× 102 0.5× 70 0.4× 124 0.7× 67 0.4× 68 1.7k
Luciano A. Abriata Switzerland 28 1.7k 1.4× 186 0.9× 101 0.5× 142 0.8× 55 0.4× 93 2.7k
Jeong Seok Oh South Korea 14 1.6k 1.3× 136 0.7× 71 0.4× 173 1.0× 57 0.4× 63 2.4k
Auguste Genovesio France 26 1.6k 1.3× 264 1.3× 150 0.8× 271 1.5× 112 0.7× 71 2.8k
Rahul Ghosh United States 12 963 0.8× 102 0.5× 125 0.6× 542 3.0× 36 0.2× 29 1.9k
Graeme Ball United Kingdom 21 988 0.8× 220 1.1× 102 0.5× 251 1.4× 35 0.2× 29 1.9k
Gerardo Turcatti Switzerland 25 1.7k 1.4× 150 0.8× 210 1.1× 126 0.7× 40 0.3× 70 3.1k
Arnon Lavie United States 36 2.2k 1.8× 336 1.7× 97 0.5× 311 1.7× 75 0.5× 126 3.8k
Séan O’Donoghue Australia 29 3.3k 2.7× 329 1.7× 160 0.8× 302 1.7× 215 1.4× 69 4.2k
Thorsten Wagner Germany 16 891 0.7× 119 0.6× 76 0.4× 239 1.3× 22 0.1× 35 1.9k

Countries citing papers authored by Matthieu Chavent

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Chavent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Chavent

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Chavent. A scholar is included among the top collaborators of Matthieu Chavent 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 Matthieu Chavent. Matthieu Chavent 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.
Réat, Valérie, Wladimir Malaga, Georges Czaplicki, et al.. (2025). How PGL finds a sweet spot in phospholipid membranes: A combined multiscale MD and NMR study. Biophysical Journal. 125(2). 457–470.
2.
3.
Lagardère, Louis, Brandon Walker, Pengyu Ren, et al.. (2025). Histidine 73 methylation coordinates β-actin plasticity in response to key environmental factors. Nature Communications. 16(1). 2304–2304.
4.
Guéroult, Marc, et al.. (2025). Fast Parametrization of Martini3 Models for Fragments and Small Molecules. Journal of Chemical Theory and Computation. 22(1). 610–623.
5.
Grélard, Axelle, Mélanie Berbon, Estelle Morvan, et al.. (2024). Dynamic pre-structuration of lipid nanodomain-segregating remorin proteins. Communications Biology. 7(1). 1620–1620. 1 indexed citations
6.
Tiemann, Johanna K. S., Rebecca J. Howard, Lucie Delemotte, et al.. (2024). MDverse, shedding light on the dark matter of molecular dynamics simulations. eLife. 12. 11 indexed citations
7.
Chavent, Matthieu, et al.. (2023). Molecular Modeling and Simulation of the Mycobacterial Cell Envelope: From Individual Components to Cell Envelope Assemblies. The Journal of Physical Chemistry B. 127(51). 10941–10949. 8 indexed citations
8.
Corey, Robin A., Axelle Grélard, Ya Gao, et al.. (2023). Supramolecular organization and dynamics of mannosylated phosphatidylinositol lipids in the mycobacterial plasma membrane. Proceedings of the National Academy of Sciences. 120(5). e2212755120–e2212755120. 16 indexed citations
9.
Corey, Robin A., Marc Baaden, & Matthieu Chavent. (2023). A brief history of visualizing membrane systems in molecular dynamics simulations. SHILAP Revista de lepidopterología. 3. 1149744–1149744. 8 indexed citations
10.
Tiemann, Johanna K. S., Rebecca J. Howard, Lucie Delemotte, et al.. (2023). MDverse, shedding light on the dark matter of molecular dynamics simulations. eLife. 12. 12 indexed citations
11.
Menneteau, Thomas, Christine Kervarrec, Ana Toste Rêgo, et al.. (2022). Proteasome complexes experience profound structural and functional rearrangements throughout mammalian spermatogenesis. Proceedings of the National Academy of Sciences. 119(15). e2116826119–e2116826119. 13 indexed citations
12.
Férey, Nicolas, et al.. (2022). Design – a new way to look at old molecules. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 19(2). 4 indexed citations
13.
Augenstreich, Jacques, Georges Czaplicki, Franck Jolibois, et al.. (2019). The conical shape of DIM lipids promotes Mycobacterium tuberculosis infection of macrophages. Proceedings of the National Academy of Sciences. 116(51). 25649–25658. 49 indexed citations
14.
Chavent, Matthieu, Anna L. Duncan, Patrice Rassam, et al.. (2018). How nanoscale protein interactions determine the mesoscale dynamic organisation of bacterial outer membrane proteins. Nature Communications. 9(1). 2846–2846. 44 indexed citations
15.
Chavent, Matthieu, Dimple Karia, Antreas C. Kalli, et al.. (2018). Interactions of the EphA2 Kinase Domain with PIPs in Membranes: Implications for Receptor Function. Structure. 26(7). 1025–1034.e2. 27 indexed citations
16.
Jackson, V.A., Shahid Mehmood, Matthieu Chavent, et al.. (2016). Super-complexes of adhesion GPCRs and neural guidance receptors. Nature Communications. 7(1). 11184–11184. 74 indexed citations
17.
Chavent, Matthieu, et al.. (2015). Molecular Simulations of Gram-Negative Bacterial Membranes: A Vignette of Some Recent Successes. Biophysical Journal. 109(3). 461–468. 34 indexed citations
18.
Lv, Zhihan, et al.. (2013). Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges. PLoS ONE. 8(3). e57990–e57990. 187 indexed citations
19.
Chavent, Matthieu, et al.. (2011). GPU‐accelerated atom and dynamic bond visualization using hyperballs: A unified algorithm for balls, sticks, and hyperboloids. Journal of Computational Chemistry. 32(13). 2924–2935. 43 indexed citations
20.
Déliot, Nadine, Matthieu Chavent, Claire Nourry, et al.. (2008). Biochemical studies and molecular dynamics simulations of Smad3–Erbin interaction identify a non-classical Erbin PDZ binding. Biochemical and Biophysical Research Communications. 378(3). 360–365. 6 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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