F. Corpet
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Glycosylation and Glycoproteins Research
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 3
- Glycosylation and Glycoproteins Research 2
- Gene expression and cancer classification 1
- Protein Structure and Dynamics 1
-
- Enzyme Structure and Function 2
- Co-authors
- Jérôme Gouzy (5 shared papers)Daniel Kahn (4 shared papers)Bernard Michot (1 shared paper)Denis E. Corpet (1 shared paper)Solange Lumeau (1 shared paper)Daniel Kahn (1 shared paper)Elizabeth A. Greene (1 shared paper)C. Chevalet (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Computer applications in the biosciences (2 papers)Bioinformatics (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Genetics Selection Evolution (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
F. Corpet
13 papers receiving 5.3k citations
F. Corpet's Hit Papers
Peers
Comparison fields: 5 of 162
- Molecular Biology 3.2k
- Endocrinology 162
- Plant Science 1.1k
- Biotechnology 255
- Genetics 662
Countries citing papers authored by F. Corpet
This map shows the geographic impact of F. Corpet'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 F. Corpet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Corpet more than expected).
Fields of papers citing papers by F. Corpet
This network shows the impact of papers produced by F. Corpet. 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 F. Corpet. The network helps show where F. Corpet may publish in the future.
Co-authors
The 11 scholars most cited alongside F. Corpet, 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 | Multiple sequence alignment with hierarchical clustering Hit paper breakdown → | 1988 | 4635 |
| 2 | 2000 | 285 | |
| 3 | 1998 | 185 | |
| 4 | 1999 | 144 | |
| 5 | 1999 | 63 | |
| 6 | 1994 | 60 | |
| 7 | 1989 | 23 | |
| 8 | 1997 | 23 | |
| 9 | 1999 | 19 | |
| 10 | 1996 | 12 | |
| 11 | 1983 | 6 | |
| 12 | 2008 | 3 | |
| 13 | 1983 | 1 |
About F. Corpet
F. Corpet is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Pollution and Ecology, having authored 13 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (3 papers), Glycosylation and Glycoproteins Research (2 papers), Enzyme Structure and Function (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Gene expression and cancer classification (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (3.2k citations), Endocrinology (162 citations), Plant Science (1.1k citations), Biotechnology (255 citations) and Genetics (662 citations). F. Corpet has collaborated with scholars based in France and United States. Frequent co-authors include Jérôme Gouzy, Daniel Kahn, Bernard Michot, Denis E. Corpet, Solange Lumeau, Daniel Kahn, Elizabeth A. Greene, C. Chevalet, Antonio Micali and Artibano Micali. Their work appears in journals such as Nucleic Acids Research, Computer applications in the biosciences, Bioinformatics, Antimicrobial Agents and Chemotherapy and Genetics Selection Evolution.
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.