Matthieu Chartier
Impact in
-
- Computational Drug Discovery Methods
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
-
- Protein Structure and Dynamics 5
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
- Machine Learning in Bioinformatics 1
-
- Computational Drug Discovery Methods 4
- Co-authors
- Rafaël Najmanovich (8 shared papers)Vincent Frappier (2 shared papers)Francis Gaudreault (2 shared papers)Louis–Philippe Morency (1 shared paper)Frédéric Roche (1 shared paper)
- Journals
- Bioinformatics (3 papers)PeerJ (1 paper)Nucleic Acids Research (1 paper)Journal of Chemical Information and Modeling (1 paper)BMC Pharmacology and Toxicology (1 paper)
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Matthieu Chartier
9 papers receiving 409 citations
Peers
Comparison fields: 5 of 71
- Computational Theory and Mathematics 116
- Molecular Biology 326
- Pharmacology 20
- Genetics 48
- Aging 3
Countries citing papers authored by Matthieu Chartier
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
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-authors
The 5 scholars most cited alongside Matthieu Chartier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 131 | |
| 2 | 2013 | 75 | |
| 3 | 2012 | 63 | |
| 4 | 2017 | 41 | |
| 5 | 2012 | 40 | |
| 6 | 2015 | 39 | |
| 7 | 2015 | 15 | |
| 8 | 2016 | 6 | |
| 9 | Audit clinique appliqué à l'utilisation des chambres d'isolement au Centre Hospitalier Valvert (Marseille) | 2003 | 1 |
About Matthieu Chartier
Matthieu Chartier is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and General Health Professions, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Bacteriophages and microbial interactions (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Computational Theory and Mathematics (116 citations), Molecular Biology (326 citations), Pharmacology (20 citations), Genetics (48 citations) and Aging (3 citations). Matthieu Chartier has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Rafaël Najmanovich, Vincent Frappier, Francis Gaudreault, Louis–Philippe Morency and Frédéric Roche. Their work appears in journals such as Bioinformatics, PeerJ, Nucleic Acids Research, Journal of Chemical Information and Modeling and BMC Pharmacology and Toxicology.
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.