Frédéric Guyon

1.7k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 13

Frédéric Guyon

25 papers receiving 1.2k citations

Hit Papers

PEP-FOLD: an updated de novo structure prediction server ...5042012202620162021100200300400500

Peers

Frédéric Guyon
Comparison fields: 5 of 140
  • Microbiology 127
  • Molecular Biology 841
  • Computational Theory and Mathematics 151
  • Virology 19
  • Immunology 84
Replace Aman Chandra Kaushik with:
Aman Chandra Kaushik China
Chun-Wei Tung Taiwan
Jun‐Mo Yang South Korea
Shandar Ahmad Japan
Aijaz Ahmad Malik Thailand
Bing Niu China
Lingli Zhou China
Zhong Li China
Zohar Bloom‐Ackermann Israel
Frédéric Guyon relative to Aman Chandra Kaushik China Aman Chandra Kaushik's profile →
Citations per field
00.5×12.3×
Aman Chandra Kaushik · 1×
Citations per year

Countries citing papers authored by Frédéric Guyon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Frédéric Guyon Line = papers co-authored together Frédéric Guyon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 201911
4 201829
5 20153
6 201316
7 201277
8
PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptidesbreakdown →
2012504
9 201078
10 20102
11 20101
12 2010238
13 200914
14 200530
15 20051
16 200441
17 200470
18 199911
19 19995
20 19992

About Frédéric Guyon

Frédéric Guyon is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Genomics and Phylogenetic Studies (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 Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Microbiology (127 citations), Molecular Biology (841 citations) and Computational Theory and Mathematics (151 citations). Frédéric Guyon has collaborated with scholars based in France, Norway and Réunion. 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, 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.

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