F. Corpet

6.9k total citations · 1 hit paper
12 papers, 5.4k citations indexed

About

F. Corpet is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, F. Corpet has authored 12 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Materials Chemistry and 1 paper in Infectious Diseases. Recurrent topics in F. Corpet's work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (4 papers). F. Corpet is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (4 papers). F. Corpet collaborates with scholars based in France and United States. F. Corpet's co-authors include Jérôme Gouzy, Daniel Kahn, C. Chevalet, Bernard Michot, Denis E. Corpet, Solange Lumeau, Daniel Kahn, Elizabeth A. Greene and Antonio Micali and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Trends in Biochemical Sciences.

In The Last Decade

F. Corpet

12 papers receiving 5.3k citations

Hit Papers

Multiple sequence alignment with hierarchical clustering 1988 2026 2000 2013 1988 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Corpet France 11 3.3k 1.2k 771 452 401 12 5.4k
C. Geourjon France 28 3.7k 1.1× 786 0.7× 683 0.9× 376 0.8× 319 0.8× 48 5.6k
Ron D. Appel Switzerland 9 4.3k 1.3× 1.2k 1.0× 523 0.7× 443 1.0× 363 0.9× 9 6.3k
Tom Sargent United States 5 4.5k 1.4× 1.1k 0.9× 1.1k 1.5× 493 1.1× 613 1.5× 7 6.9k
Jaap Heringa Netherlands 12 4.3k 1.3× 950 0.8× 837 1.1× 531 1.2× 393 1.0× 29 6.1k
Angelika Görg Germany 42 4.9k 1.5× 975 0.8× 569 0.7× 410 0.9× 486 1.2× 101 8.1k
Jacob Engelbrecht Denmark 13 4.1k 1.3× 1.1k 0.9× 871 1.1× 511 1.1× 414 1.0× 15 6.7k
Benjamin D. Hall United States 39 4.1k 1.2× 1.3k 1.1× 719 0.9× 546 1.2× 771 1.9× 85 5.7k
Christian J A Sigrist Switzerland 12 3.3k 1.0× 977 0.8× 408 0.5× 317 0.7× 280 0.7× 15 4.8k
Edouard de Castro Switzerland 21 3.4k 1.0× 996 0.8× 455 0.6× 504 1.1× 335 0.8× 32 5.3k
Jean‐Charles Sanchez Switzerland 5 3.6k 1.1× 1.1k 0.9× 433 0.6× 406 0.9× 288 0.7× 6 5.4k

Countries citing papers authored by F. Corpet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of F. Corpet

This figure shows the co-authorship network connecting the top 25 collaborators of F. Corpet. A scholar is included among the top collaborators of F. Corpet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Corpet. F. Corpet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Corpet, F.. (2000). ProDom and ProDom-CG: tools for protein domain analysis and whole genome comparisons. Nucleic Acids Research. 28(1). 267–269. 273 indexed citations
2.
Corpet, F., Jérôme Gouzy, & Daniel Kahn. (1999). Recent improvements of the ProDom database of protein domain families. Nucleic Acids Research. 27(1). 263–267. 140 indexed citations
3.
Corpet, F., Jérôme Gouzy, & Daniel Kahn. (1999). Browsing protein families via the ‘Rich Family Description’ format. Bioinformatics. 15(12). 1020–1027. 19 indexed citations
4.
Gouzy, Jérôme, F. Corpet, & Daniel Kahn. (1999). Whole genome protein domain analysis using a new method for domain clustering. Computers & Chemistry. 23(3-4). 333–340. 62 indexed citations
5.
Corpet, F.. (1998). The ProDom database of protein domain families. Nucleic Acids Research. 26(1). 323–326. 178 indexed citations
6.
Gouzy, Jérôme, et al.. (1997). XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences. Computer applications in the biosciences. 13(6). 601–608. 23 indexed citations
7.
Gouzy, Jérôme, F. Corpet, & Daniel Kahn. (1996). Graphical interface for ProDom domain families. Trends in Biochemical Sciences. 21(12). 493–493. 11 indexed citations
8.
Corpet, F. & Bernard Michot. (1994). RNAlign program: alignment of RNA sequences using both primary and secondary structures. Computer applications in the biosciences. 10(4). 389–399. 51 indexed citations
9.
Corpet, Denis E., Solange Lumeau, & F. Corpet. (1989). Minimum antibiotic levels for selecting a resistance plasmid in a gnotobiotic animal model. Antimicrobial Agents and Chemotherapy. 33(4). 535–540. 21 indexed citations
10.
Corpet, F.. (1988). Multiple sequence alignment with hierarchical clustering. Nucleic Acids Research. 16(22). 10881–10890. 4535 indexed citations breakdown →
11.
Chevalet, C. & F. Corpet. (1986). Statistical decision rules concerning synteny or independence between markers. Cytogenetic and Genome Research. 43(3-4). 132–139. 105 indexed citations
12.

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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