Frédéric Guyon
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 11
- Genomics and Phylogenetic Studies 7
- Genetics, Bioinformatics, and Biomedical Research 2
- Glycosylation and Glycoproteins Research 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Pierre Tufféry (11 shared papers)Philippe Derreumaux (3 shared papers)Julien Maupetit (3 shared papers)Yimin Shen (3 shared papers)P. Thévenet (2 shared papers)Maria A. Miteva (1 shared paper)Rodolphe Le Riche (3 shared papers)Marco Antônio Luersen (1 shared paper)
- Journals
- Nucleic Acids Research (7 papers)Bioinformatics (2 papers)The Journal of Pathology (1 paper)Water Research (1 paper)Structural and Multidisciplinary Optimization (1 paper)
- Partner nations
- FranceRéunionGuadeloupe
In The Last Decade
Frédéric Guyon
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Microbiology 105
- Computational Theory and Mathematics 174
- Molecular Biology 575
- Cancer Research 54
- Health, Toxicology and Mutagenesis 30
Countries citing papers authored by Frédéric Guyon
This map shows the geographic impact of Frédéric Guyon'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 Frédéric Guyon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Guyon more than expected).
Fields of papers citing papers by Frédéric Guyon
This network shows the impact of papers produced by Frédéric Guyon. 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 Frédéric Guyon. The network helps show where Frédéric Guyon may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Guyon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 536 | |
| 2 | 2010 | 249 | |
| 3 | 2012 | 87 | |
| 4 | 2010 | 84 | |
| 5 | 2004 | 80 | |
| 6 | 1996 | 70 | |
| 7 | 2004 | 42 | |
| 8 | 2018 | 33 | |
| 9 | 2005 | 31 | |
| 10 | 2007 | 19 | |
| 11 | 2009 | 17 | |
| 12 | 2013 | 16 | |
| 13 | 2013 | 16 | |
| 14 | 1999 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 1999 | 7 | |
| 18 | 2007 | 6 | |
| 19 | 2002 | 4 | |
| 20 | 2015 | 4 |
About Frédéric Guyon
Frédéric Guyon is a scholar working on Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence, Numerical Analysis and Civil and Structural Engineering, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Genomics and Phylogenetic Studies (7 papers), Metaheuristic Optimization Algorithms Research (3 papers), Computational Drug Discovery Methods (3 papers), Water Systems and Optimization (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Enzyme Structure and Function (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Microbiology (105 citations), Computational Theory and Mathematics (174 citations), Molecular Biology (575 citations), Cancer Research (54 citations) and Health, Toxicology and Mutagenesis (30 citations). Frédéric Guyon has collaborated with scholars based in France, Réunion and Guadeloupe. Frequent co-authors include Pierre Tufféry, Philippe Derreumaux, Julien Maupetit, Yimin Shen, P. Thévenet, Maria A. Miteva, Rodolphe Le Riche, Marco Antônio Luersen, Éric Letouzé and Yves Allory. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, The Journal of Pathology, Water Research and Structural and Multidisciplinary Optimization.
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.