Ivan Laprevotte
Impact in
-
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
Papers in
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- Genomics and Phylogenetic Studies 4
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 2
- Fractal and DNA sequence analysis 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Francis Galibert (1 shared paper)Charles J. Sherr (1 shared paper)A Hampe (1 shared paper)Gilles Didier (5 shared papers)Maude Pupin (3 shared papers)Claudine Devauchelle (3 shared papers)Ming Zhang (1 shared paper)A. Grossmann (1 shared paper)
- Journals
- Journal of Molecular Evolution (3 papers)BMC Bioinformatics (2 papers)Molecular Biology and Evolution (1 paper)Journal of Computational Biology (1 paper)Theoretical Computer Science (1 paper)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Ivan Laprevotte
11 papers receiving 310 citations
Peers
Comparison fields: 5 of 74
- Virology 20
- Molecular Biology 210
- Genetics 76
- Animal Science and Zoology 28
- Immunology 41
Countries citing papers authored by Ivan Laprevotte
This map shows the geographic impact of Ivan Laprevotte'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 Ivan Laprevotte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Laprevotte more than expected).
Fields of papers citing papers by Ivan Laprevotte
This network shows the impact of papers produced by Ivan Laprevotte. 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 Ivan Laprevotte. The network helps show where Ivan Laprevotte may publish in the future.
Co-authors
The 14 scholars most cited alongside Ivan Laprevotte, 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 | 1982 | 159 | |
| 2 | 2007 | 138 | |
| 3 | 2012 | 10 | |
| 4 | 2006 | 10 | |
| 5 | 2001 | 9 | |
| 6 | 2010 | 6 | |
| 7 | 1989 | 6 | |
| 8 | 1992 | 4 | |
| 9 | 1997 | 3 | |
| 10 | 2003 | 1 | |
| 11 | 1997 | 1 | |
| 12 | 1979 | 0 |
About Ivan Laprevotte
Ivan Laprevotte is a scholar working on Molecular Biology, Virology, Genetics, Animal Science and Zoology and Artificial Intelligence, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), HIV Research and Treatment (3 papers), Chromosomal and Genetic Variations (2 papers), Algorithms and Data Compression (2 papers), Machine Learning in Bioinformatics (2 papers), Fractal and DNA sequence analysis (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Virology (20 citations), Molecular Biology (210 citations), Genetics (76 citations), Animal Science and Zoology (28 citations) and Immunology (41 citations). Ivan Laprevotte has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Francis Galibert, Charles J. Sherr, A Hampe, Gilles Didier, Maude Pupin, Claudine Devauchelle, Ming Zhang, A. Grossmann, Alain Hénaut and Christophe Terzian. Their work appears in journals such as Journal of Molecular Evolution, BMC Bioinformatics, Molecular Biology and Evolution, Journal of Computational Biology and Theoretical Computer Science.
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.