Chantal Prévost

1.1k total citations
60 papers, 812 citations indexed

About

Chantal Prévost is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Chantal Prévost has authored 60 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 10 papers in Materials Chemistry and 9 papers in Genetics. Recurrent topics in Chantal Prévost's work include DNA and Nucleic Acid Chemistry (27 papers), Protein Structure and Dynamics (16 papers) and DNA Repair Mechanisms (16 papers). Chantal Prévost is often cited by papers focused on DNA and Nucleic Acid Chemistry (27 papers), Protein Structure and Dynamics (16 papers) and DNA Repair Mechanisms (16 papers). Chantal Prévost collaborates with scholars based in France, United States and Germany. Chantal Prévost's co-authors include Mara Prentiss, Richard Lavery, Claudia Danilowicz, Martin Zacharias, Karine Bastard, Masayuki Takahashi, Pierre Poulain, Sophie Sacquin‐Mora, Darren Yang and Charles H. Robert and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Chantal Prévost

55 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chantal Prévost France 18 722 139 122 69 68 60 812
Samuel Coulbourn Flores United States 18 758 1.0× 220 1.6× 82 0.7× 27 0.4× 48 0.7× 33 939
Mark A. Wall United States 6 913 1.3× 141 1.0× 114 0.9× 43 0.6× 88 1.3× 8 1.1k
Domenico Sanfelice United Kingdom 16 631 0.9× 141 1.0× 63 0.5× 25 0.4× 36 0.5× 29 797
Daniel J. Mandell United States 11 997 1.4× 143 1.0× 162 1.3× 69 1.0× 42 0.6× 14 1.2k
Kimberly A. Reynolds United States 17 848 1.2× 151 1.1× 172 1.4× 39 0.6× 136 2.0× 30 1.0k
Rebecca F. Alford United States 6 990 1.4× 230 1.7× 82 0.7× 32 0.5× 124 1.8× 12 1.2k
Marco Ceruso United States 7 575 0.8× 86 0.6× 44 0.4× 44 0.6× 35 0.5× 7 697
Steven L. Kazmirski United States 17 852 1.2× 272 2.0× 199 1.6× 39 0.6× 42 0.6× 22 968
Hédi Hegyi Hungary 16 1.2k 1.7× 213 1.5× 112 0.9× 56 0.8× 46 0.7× 23 1.3k
Pawel Smialowski Germany 15 1.1k 1.5× 146 1.1× 116 1.0× 29 0.4× 122 1.8× 27 1.2k

Countries citing papers authored by Chantal Prévost

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Prévost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chantal Prévost

This figure shows the co-authorship network connecting the top 25 collaborators of Chantal Prévost. A scholar is included among the top collaborators of Chantal 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 Chantal Prévost. Chantal Prévost 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.
Ducrot, Pierre, Claudia Danilowicz, Mara Prentiss, et al.. (2022). Building Biological Relevance Into Integrative Modelling of Macromolecular Assemblies. Frontiers in Molecular Biosciences. 9. 826136–826136. 5 indexed citations
2.
Danilowicz, Claudia, et al.. (2019). Weaving DNA strands: structural insight on ATP hydrolysis in RecA-induced homologous recombination. Nucleic Acids Research. 47(15). 7798–7808. 16 indexed citations
3.
Tran, Linh, Nathalie Basdevant, Chantal Prévost, & Tâp Ha‐Duong. (2016). Structure of ring-shaped Aβ42 oligomers determined by conformational selection. Scientific Reports. 6(1). 21429–21429. 37 indexed citations
4.
Yang, Darren, et al.. (2015). Integrating multi-scale data on homologous recombination into a new recognition mechanism based on simulations of the RecA-ssDNA/dsDNA structure. Nucleic Acids Research. 43(21). gkv883–gkv883. 41 indexed citations
5.
Poulain, Pierre, et al.. (2015). An Integrative Approach to the Study of Filamentous Oligomeric Assemblies, with Application to RecA. PLoS ONE. 10(3). e0116414–e0116414. 18 indexed citations
6.
Prentiss, Mara, Chantal Prévost, & Claudia Danilowicz. (2015). Structure/function relationships in RecA protein-mediated homology recognition and strand exchange. Critical Reviews in Biochemistry and Molecular Biology. 50(6). 453–476. 52 indexed citations
7.
8.
Miné-Hattab, Judith, et al.. (2011). Optimizing the Design of Oligonucleotides for Homology Directed Gene Targeting. PLoS ONE. 6(4). e14795–e14795.
9.
Amourda, Christopher, Pierre Poulain, Nicolas Férey, et al.. (2010). Modeling the early stage of DNA sequence recognition within RecA nucleoprotein filaments. Nucleic Acids Research. 38(19). 6313–6323. 26 indexed citations
10.
Prévost, Chantal, et al.. (2009). Deforming DNA: From Physics to Biology. ChemPhysChem. 10(9-10). 1399–1404. 37 indexed citations
11.
Sachdeva, Sushant, et al.. (2009). On the Characterization and Selection of Diverse Conformational Ensembles with Applications to Flexible Docking. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 8(2). 487–498. 4 indexed citations
12.
Poulain, Pierre, et al.. (2008). Insights on protein‐DNA recognition by coarse grain modelling. Journal of Computational Chemistry. 29(15). 2582–2592. 33 indexed citations
13.
Bastard, Karine, Chantal Prévost, & Martin Zacharias. (2005). Accounting for loop flexibility during protein–protein docking. Proteins Structure Function and Bioinformatics. 62(4). 956–969. 75 indexed citations
14.
Bastard, Karine, et al.. (2003). Docking macromolecules with flexible segments. Journal of Computational Chemistry. 24(15). 1910–1920. 28 indexed citations
15.
Prévost, Chantal & Masayuki Takahashi. (2003). Geometry of the DNA strands within the RecA nucleofilament: role in homologous recombination. Quarterly Reviews of Biophysics. 36(4). 429–453. 37 indexed citations
16.
Lavery, Richard, et al.. (2000). A Mechanism for RecA-Promoted Sequence Homology Recognition and Strand Exchange Between Single-Stranded DNA and Duplex DNA, via Triple-Helical Intermediates. Journal of Biomolecular Structure and Dynamics. 17(sup1). 147–153. 3 indexed citations
17.
Prévost, Chantal, et al.. (1997). Distortions of the DNA Double Helix Induced by 1,3-trans-Diamminedichloroplatinum(II)-intrastrand Cross-link: An Internal Coordinate Molecular Modeling Study. Journal of Biomolecular Structure and Dynamics. 14(6). 703–714. 4 indexed citations
18.
Bornet, Olivier, et al.. (1995). Solution structure of oligonucleotides covalently linked to a psoralen derivative. Nucleic Acids Research. 23(5). 788–795. 1 indexed citations
19.
Prévost, Chantal, Shirley Louise‐May, G. Ravishanker, D. L. Beveridge, & Richard Lavery. (1993). Persistence analysis of the static and dynamical helix deformations of DNA oligonucleotides: Application to the crystal structure and molecular dynamics simulation of d(CGCGAATTCGCG)2. Biopolymers. 33(3). 335–350. 18 indexed citations
20.
Prévost, Chantal, et al.. (1988). [The beta-thalassemia gene in French Canada: reappearance in Portneuf County].. PubMed. 118(3). 241, 243–4. 2 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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