M.-F. Sagot
Impact in
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- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
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- Genome Rearrangement Algorithms
Papers in
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- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 1
- Gene expression and cancer classification 1
- Muscle Physiology and Disorders 1
- Bioinformatics and Genomic Networks 1
- Genetics 3
- Co-authors
- David Wildridge (1 shared paper)Michael P. Barrett (1 shared paper)Florence Vinson (1 shared paper)Fabien Jourdan (1 shared paper)Ludovic Cottret (1 shared paper)Hubert Charles (1 shared paper)Éric Tannier (1 shared paper)Céline Scornavacca (1 shared paper)
- Journals
- IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Nucleic Acids Research (1 paper)Journal of Computational Biology (1 paper)Neuromuscular Disorders (1 paper)Systematic Biology (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
M.-F. Sagot
7 papers receiving 241 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 171
- Genetics 42
- Spectroscopy 23
- Artificial Intelligence 25
- Ecology, Evolution, Behavior and Systematics 13
Countries citing papers authored by M.-F. Sagot
This map shows the geographic impact of M.-F. Sagot'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 M.-F. Sagot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.-F. Sagot more than expected).
Fields of papers citing papers by M.-F. Sagot
This network shows the impact of papers produced by M.-F. Sagot. 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 M.-F. Sagot. The network helps show where M.-F. Sagot may publish in the future.
Co-authors
The 25 scholars most cited alongside M.-F. Sagot, 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 | 2010 | 140 | |
| 2 | 2005 | 27 | |
| 3 | 2002 | 24 | |
| 4 | 2014 | 23 | |
| 5 | 2008 | 22 | |
| 6 | 2024 | 8 | |
| 7 | Algorithms And Computational Methods For Biochemical And Evolutionary Networks | 2004 | 1 |
About M.-F. Sagot
M.-F. Sagot is a scholar working on Molecular Biology, Genetics, Cell Biology, Plant Science and Statistics and Probability, having authored 7 papers that have together received 245 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (1 paper), Gene expression and cancer classification (1 paper), Markov Chains and Monte Carlo Methods (1 paper), Muscle Physiology and Disorders (1 paper), Chromosomal and Genetic Variations (1 paper), Bioinformatics and Genomic Networks (1 paper) and Biotin and Related Studies (1 paper). The work is most often cited by research in Molecular Biology (171 citations), Genetics (42 citations), Spectroscopy (23 citations), Artificial Intelligence (25 citations) and Ecology, Evolution, Behavior and Systematics (13 citations). M.-F. Sagot has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include David Wildridge, Michael P. Barrett, Florence Vinson, Fabien Jourdan, Ludovic Cottret, Hubert Charles, Éric Tannier, Céline Scornavacca, Hugues Richard and Stephane S. Robin. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Nucleic Acids Research, Journal of Computational Biology, Neuromuscular Disorders and Systematic Biology.
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.