Nicolas Chéron

639 total citations
21 papers, 484 citations indexed

About

Nicolas Chéron is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Nicolas Chéron has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Nicolas Chéron's work include Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Nicolas Chéron is often cited by papers focused on Protein Structure and Dynamics (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Nicolas Chéron collaborates with scholars based in France, United States and Czechia. Nicolas Chéron's co-authors include Paul Fleurat‐Lessard, Eugene I. Shakhnovich, Romain Ramozzi, Laurent El Kaïm, Laurence Grimaud, Denis Jacquemin, Benoı̂t Braı̈da, Philippe C. Hiberty, Eva Pluhařová and Damien Laage and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Nicolas Chéron

21 papers receiving 480 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 Chéron France 11 250 231 81 62 35 21 484
Branimir Bertoša Croatia 15 414 1.7× 317 1.4× 58 0.7× 65 1.0× 16 0.5× 53 758
Daniel Cappel Germany 13 184 0.7× 327 1.4× 188 2.3× 82 1.3× 71 2.0× 19 576
Tuğba Ertan‐Bolelli Türkiye 15 530 2.1× 260 1.1× 95 1.2× 48 0.8× 9 0.3× 39 759
Eberhard Heller Germany 12 250 1.0× 311 1.3× 32 0.4× 115 1.9× 22 0.6× 32 638
Sı́lvia Ferrer Spain 14 101 0.4× 292 1.3× 55 0.7× 113 1.8× 46 1.3× 24 429
Emma Danelius Sweden 11 132 0.5× 307 1.3× 77 1.0× 77 1.2× 15 0.4× 19 485
Johan Åqvist Sweden 9 112 0.4× 390 1.7× 126 1.6× 79 1.3× 42 1.2× 9 518
Stephane Rodde Switzerland 10 138 0.6× 138 0.6× 118 1.5× 83 1.3× 14 0.4× 13 365
Mark Lipton Canada 2 160 0.6× 220 1.0× 62 0.8× 59 1.0× 53 1.5× 5 439
Rohoullah Firouzi Iran 12 123 0.5× 92 0.4× 65 0.8× 112 1.8× 22 0.6× 32 313

Countries citing papers authored by Nicolas Chéron

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Chéron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Chéron

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Chéron. A scholar is included among the top collaborators of Nicolas Chéron 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 Chéron. Nicolas Chéron 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.
Paragi, Gábor, et al.. (2024). Fluorescence Detection of DNA/RNA G‐Quadruplexes (G4s) by Twice‐as‐Smart Ligands. ChemMedChem. 20(7). e202400829–e202400829. 4 indexed citations
2.
Martin, Nicolas, Sébastien Britton, Nicolas Chéron, et al.. (2024). Structural Optimization of Azacryptands for Targeting Three‐Way DNA Junctions. Angewandte Chemie International Edition. 63(36). e202409780–e202409780. 6 indexed citations
3.
Chéron, Nicolas. (2024). Binding Sites of Bicarbonate in Phosphoenolpyruvate Carboxylase. Journal of Chemical Information and Modeling. 64(8). 3375–3385. 2 indexed citations
4.
Berraud‐Pache, Romain, et al.. (2024). Reversible Control of Native GluN2B-Containing NMDA Receptors with Visible Light. ACS Chemical Neuroscience. 15(18). 3321–3343. 3 indexed citations
5.
6.
7.
Chéron, Nicolas, et al.. (2021). Dual targeting of higher-order DNA structures by azacryptands induces DNA junction-mediated DNA damage in cancer cells. Nucleic Acids Research. 49(18). 10275–10288. 17 indexed citations
8.
Chéron, Nicolas, et al.. (2020). Protein Preferential Solvation in Water:Glycerol Mixtures. The Journal of Physical Chemistry B. 124(8). 1424–1437. 25 indexed citations
9.
Chéron, Nicolas & Eugene I. Shakhnovich. (2017). Effect of sampling on BACE-1 ligands binding free energy predictions via MM-PBSA calculations. Journal of Computational Chemistry. 38(22). 1941–1951. 14 indexed citations
10.
Duboué-Dijon, Élise, Eva Pluhařová, Kakali Sen, et al.. (2017). Coupled Valence-Bond State Molecular Dynamics Description of an Enzyme-Catalyzed Reaction in a Non-Aqueous Organic Solvent. The Journal of Physical Chemistry B. 121(29). 7027–7041. 8 indexed citations
11.
Shakhnovich, Eugene I., et al.. (2017). A Hybrid Knowledge-Based and Empirical Scoring Function for Protein–Ligand Interaction: SMoG2016. Journal of Chemical Information and Modeling. 57(3). 584–593. 23 indexed citations
12.
Chéron, Nicolas, Adrian W.R. Serohijos, Jeong‐Mo Choi, & Eugene I. Shakhnovich. (2016). Evolutionary dynamics of viral escape under antibodies stress: A biophysical model. Protein Science. 25(7). 1332–1340. 8 indexed citations
13.
Chéron, Nicolas, Chenchen Yu, Abimbola O. Kolawole, Eugene I. Shakhnovich, & Christiane E. Wobus. (2015). Repurposing of rutin for the inhibition of norovirus replication. Archives of Virology. 160(9). 2353–2358. 24 indexed citations
14.
Chéron, Nicolas, et al.. (2015). OpenGrowth: An Automated and Rational Algorithm for Finding New Protein Ligands. Journal of Medicinal Chemistry. 59(9). 4171–4188. 51 indexed citations
15.
Chéron, Nicolas, Romain Ramozzi, Laurent El Kaïm, Laurence Grimaud, & Paul Fleurat‐Lessard. (2013). Substituent Effects in Ugi–Smiles Reactions. The Journal of Physical Chemistry A. 117(33). 8035–8042. 10 indexed citations
16.
Chéron, Nicolas, Denis Jacquemin, & Paul Fleurat‐Lessard. (2012). A qualitative failure of B3LYP for textbook organic reactions. Physical Chemistry Chemical Physics. 14(19). 7170–7170. 64 indexed citations
17.
Ramozzi, Romain, Nicolas Chéron, Benoı̂t Braı̈da, Philippe C. Hiberty, & Paul Fleurat‐Lessard. (2012). A valence bond view of isocyanides' electronic structure. New Journal of Chemistry. 36(5). 1137–1137. 55 indexed citations
18.
Chéron, Nicolas, Laurent El Kaïm, Laurence Grimaud, & Paul Fleurat‐Lessard. (2011). Evidences for the Key Role of Hydrogen Bonds in Nucleophilic Aromatic Substitution Reactions. Chemistry - A European Journal. 17(52). 14929–14934. 31 indexed citations
19.
Chéron, Nicolas, Laurent El Kaïm, Laurence Grimaud, & Paul Fleurat‐Lessard. (2011). A Density Functional Theory Study of the Nef-Isocyanide Reaction: Mechanism, Influence of Parameters and Scope. The Journal of Physical Chemistry A. 115(35). 10106–10112. 10 indexed citations
20.
Geronimo, Inacrist, Nicolas Chéron, Paul Fleurat‐Lessard, & Élise Dumont. (2009). How does microhydration impact on structure, spectroscopy and formation of disulfide radical anions? An ab initio investigation on dimethyldisulfide. Chemical Physics Letters. 481(4-6). 173–179. 8 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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