Matthieu Chartier

607 total citations
9 papers, 411 citations indexed

About

Matthieu Chartier is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Matthieu Chartier has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 1 paper in Organic Chemistry. Recurrent topics in Matthieu Chartier's work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers) and RNA and protein synthesis mechanisms (3 papers). Matthieu Chartier is often cited by papers focused on Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers) and RNA and protein synthesis mechanisms (3 papers). Matthieu Chartier collaborates with scholars based in Canada, United Kingdom and France. Matthieu Chartier's co-authors include Rafaël Najmanovich, Vincent Frappier, Francis Gaudreault, Louis–Philippe Morency and Frédéric Roche and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Chemical Information and Modeling.

In The Last Decade

Matthieu Chartier

9 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthieu Chartier Canada	7	326	116	53	48	39	9	411
Thomas Evangelidis Greece	10	360 1.1×	94 0.8×	68 1.3×	27 0.6×	47 1.2×	14	475
Kuan Pern Tan Singapore	7	307 0.9×	65 0.6×	66 1.2×	29 0.6×	26 0.7×	8	402
Mohd. Amir India	13	336 1.0×	73 0.6×	19 0.4×	33 0.7×	39 1.0×	28	457
Joerg Bomke Germany	6	365 1.1×	127 1.1×	56 1.1×	17 0.4×	33 0.8×	8	496
Efrat Ben‐Zeev Israel	13	325 1.0×	87 0.8×	51 1.0×	32 0.7×	11 0.3×	24	439
Leon Bichmann Germany	8	274 0.8×	88 0.8×	41 0.8×	16 0.3×	41 1.1×	14	357
Jeffrey S. Taylor United States	5	456 1.4×	80 0.7×	57 1.1×	69 1.4×	45 1.2×	7	520
Amanda Wakefield United States	10	359 1.1×	160 1.4×	43 0.8×	15 0.3×	58 1.5×	18	461
Palani Kirubakaran India	12	262 0.8×	116 1.0×	20 0.4×	31 0.6×	80 2.1×	22	416
Peter Vanhee Spain	8	616 1.9×	104 0.9×	91 1.7×	87 1.8×	57 1.5×	10	710

Countries citing papers authored by Matthieu Chartier

Since Specialization

Citations

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

Fields of papers citing papers by Matthieu Chartier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Chartier

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

All Works

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9 of 9 papers shown

1.

Chartier, Matthieu, et al.. (2017). Large-scale detection of drug off-targets: hypotheses for drug repurposing and understanding side-effects. BMC Pharmacology and Toxicology. 18(1). 18–18. 41 indexed citations

2.

Frappier, Vincent, Matthieu Chartier, & Rafaël Najmanovich. (2016). Applications of Normal Mode Analysis Methods in Computational Protein Design. Methods in molecular biology. 1529. 203–214. 6 indexed citations

3.

Frappier, Vincent, Matthieu Chartier, & Rafaël Najmanovich. (2015). ENCoM server: exploring protein conformational space and the effect of mutations on protein function and stability. Nucleic Acids Research. 43(W1). W395–W400. 131 indexed citations

4.

Chartier, Matthieu & Rafaël Najmanovich. (2015). Detection of Binding Site Molecular Interaction Field Similarities. Journal of Chemical Information and Modeling. 55(8). 1600–1615. 39 indexed citations

5.

Chartier, Matthieu, et al.. (2015). IsoMIF Finder: online detection of binding site molecular interaction field similarities. Bioinformatics. 32(4). 621–623. 15 indexed citations

6.

Chartier, Matthieu, et al.. (2013). Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree. PeerJ. 1. e126–e126. 75 indexed citations

7.

Chartier, Matthieu, Francis Gaudreault, & Rafaël Najmanovich. (2012). Large-scale analysis of conserved rare codon clusters suggests an involvement in co-translational molecular recognition events. Bioinformatics. 28(11). 1438–1445. 40 indexed citations

8.

Gaudreault, Francis, Matthieu Chartier, & Rafaël Najmanovich. (2012). Side-chain rotamer changes upon ligand binding: common, crucial, correlate with entropy and rearrange hydrogen bonding. Bioinformatics. 28(18). i423–i430. 63 indexed citations

9.

Roche, Frédéric, et al.. (2003). Audit clinique appliqué à l'utilisation des chambres d'isolement au Centre Hospitalier Valvert (Marseille). 7(69). 33–39. 1 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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