Frédéric Guyon
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
Papers in
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- Genomics and Phylogenetic Studies 8
- Protein Structure and Dynamics 8
- Machine Learning in Bioinformatics 4
- Microbial Metabolic Engineering and Bioproduction 3
- Genetics, Bioinformatics, and Biomedical Research 2
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- Algorithms and Data Compression 5
- Co-authors
- Pierre Tufféry (10 shared papers)Philippe Derreumaux (2 shared papers)Julien Maupetit (2 shared papers)Yimin Shen (2 shared papers)P. Thévenet (1 shared paper)Maria A. Miteva (1 shared paper)Rodolphe Le Riche (1 shared paper)Marco Antônio Luersen (1 shared paper)
In The Last Decade
Frédéric Guyon
25 papers receiving 1.2k citations
Frédéric Guyon's Hit Papers
Peers
Comparison fields: 5 of 140
- Microbiology 127
- Molecular Biology 841
- Computational Theory and Mathematics 151
- Virology 19
- Immunology 84
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides Hit paper breakdown → | 2012 | 504 |
| 2 | 2010 | 238 | |
| 3 | 2010 | 78 | |
| 4 | 2012 | 77 | |
| 5 | 2004 | 70 | |
| 6 | 1996 | 69 | |
| 7 | 2004 | 41 | |
| 8 | 2005 | 30 | |
| 9 | 2018 | 29 | |
| 10 | 2007 | 18 | |
| 11 | 2013 | 16 | |
| 12 | 2013 | 15 | |
| 13 | 2009 | 14 | |
| 14 | 1999 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 1999 | 5 | |
| 18 | 2007 | 5 | |
| 19 | 1987 | 4 | |
| 20 | 2015 | 3 |
About Frédéric Guyon
Frédéric Guyon is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Computational Theory and Mathematics and Genetics, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Protein Structure and Dynamics (8 papers), Algorithms and Data Compression (5 papers), Machine Learning in Bioinformatics (4 papers), Enzyme Structure and Function (4 papers), Computational Drug Discovery Methods (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Microbiology (127 citations), Molecular Biology (841 citations), Computational Theory and Mathematics (151 citations), Virology (19 citations) and Immunology (84 citations). Frédéric Guyon has collaborated with scholars based in France, Réunion and India. Frequent co-authors include Pierre Tufféry, Philippe Derreumaux, Julien Maupetit, Yimin Shen, P. Thévenet, Maria A. Miteva, Rodolphe Le Riche, Marco Antônio Luersen, Yves Allory and Éric Letouzé. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Scientific Reports, Structural and Multidisciplinary Optimization and Computational Statistics & Data Analysis.
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.