Matthieu Montès
Impact in
-
- Computational Drug Discovery Methods
- Virology top 5%
- HIV Research and Treatment
Papers in
- Virology 8
- HIV Research and Treatment 8
-
- Computational Drug Discovery Methods 21
- Co-authors
- Jean‐François ZaguryNathalie LagardeMaria A. MitevaBruno O. VilloutreixCharly Empereur‐motManon RéauWen‐Hwa LeePierre Tufféry
- Journals
- Journal of Chemical Information and Modeling (6 papers)Journal of Medicinal Chemistry (4 papers)Bioinformatics (3 papers)Scientific Reports (2 papers)Cancer Letters (2 papers)
- Partner nations
- FranceUnited StatesMonaco
In The Last Decade
Matthieu Montès
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Computational Theory and Mathematics 600
- Virology 130
- Toxicology 60
- Molecular Biology 870
- Immunology 259
Countries citing papers authored by Matthieu Montès
This map shows the geographic impact of Matthieu Montès'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 Montès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Montès more than expected).
Fields of papers citing papers by Matthieu Montès
This network shows the impact of papers produced by Matthieu Montès. 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 Montès. The network helps show where Matthieu Montès may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthieu Montès, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 39 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 36 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 63 | |
| 13 | 2016 | 8 | |
| 14 | 2016 | 5 | |
| 15 | 2015 | 78 | |
| 16 | 2013 | 22 | |
| 17 | 2007 | 72 | |
| 18 | 2006 | 116 | |
| 19 | 1998 | 56 | |
| 20 | A Brief Overview of the DCS Distributed Conferencing System. | 1991 | 10 |
About Matthieu Montès
Matthieu Montès is a scholar working on Virology, Computational Theory and Mathematics, Pharmacology, Pharmacology and Immunology, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (8 papers), HIV Research and Treatment (8 papers), Immunotherapy and Immune Responses (7 papers), Estrogen and related hormone effects (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Receptor Mechanisms and Signaling (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Computational Theory and Mathematics (600 citations), Virology (130 citations), Toxicology (60 citations), Molecular Biology (870 citations) and Immunology (259 citations). Matthieu Montès has collaborated with scholars based in France, United States and Monaco. Frequent co-authors include Jean‐François Zagury, Nathalie Lagarde, Maria A. Miteva, Bruno O. Villoutreix, Charly Empereur‐mot, Manon Réau, Wen‐Hwa Lee, Pierre Tufféry, Delphine Gomez and R. Newman-Wolfe. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Bioinformatics, Scientific Reports and Cancer Letters.
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.