Guy Perrière
Impact in
- Microbiology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Phylogenetic Studies 19
- RNA and protein synthesis mechanisms 16
- Gene expression and cancer classification 5
- Machine Learning in Bioinformatics 5
- Geomagnetism and Paleomagnetism Studies 4
- Genetics 10
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Manolo Gouy (8 shared papers)Aedín C. Culhane (4 shared papers)Desmond G. Higgins (3 shared papers)Jean Thioulouse (5 shared papers)Vincent Daubin (3 shared papers)Laurent Duret (3 shared papers)Emmanuelle Lerat (1 shared paper)Jean‐Pierre Flandrois (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)BMC Bioinformatics (5 papers)Computer applications in the biosciences (4 papers)PLoS ONE (3 papers)Molecular Biology and Evolution (2 papers)
- Partner nations
- FranceIrelandUnited States
In The Last Decade
Guy Perrière
42 papers receiving 3.3k citations
Guy Perrière's Hit Papers
Peers
Comparison fields: 5 of 156
- Microbiology 28
- Molecular Biology 1.9k
- Ecology 506
- Endocrinology 97
- Plant Science 617
Countries citing papers authored by Guy Perrière
This map shows the geographic impact of Guy Perrière'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 Guy Perrière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Perrière more than expected).
Fields of papers citing papers by Guy Perrière
This network shows the impact of papers produced by Guy Perrière. 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 Guy Perrière. The network helps show where Guy Perrière may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Perrière, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | WWW-query: An on-line retrieval system for biological sequence banks Hit paper breakdown → | 1996 | 1329 |
| 2 | 2005 | 306 | |
| 3 | 2002 | 189 | |
| 4 | 2003 | 135 | |
| 5 | 2002 | 133 | |
| 6 | 2005 | 127 | |
| 7 | 2003 | 117 | |
| 8 | 2009 | 115 | |
| 9 | 2003 | 113 | |
| 10 | 2004 | 82 | |
| 11 | 2007 | 75 | |
| 12 | 1991 | 72 | |
| 13 | 2005 | 67 | |
| 14 | 2006 | 61 | |
| 15 | 2000 | 59 | |
| 16 | 2015 | 47 | |
| 17 | 1996 | 37 | |
| 18 | 2018 | 30 | |
| 19 | 2003 | 28 | |
| 20 | 2020 | 25 |
About Guy Perrière
Guy Perrière is a scholar working on Molecular Biology, Genetics, Atmospheric Science, Ecology and Physiology, having authored 42 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (16 papers), Bacterial Genetics and Biotechnology (6 papers), Gene expression and cancer classification (5 papers), Machine Learning in Bioinformatics (5 papers), Geology and Paleoclimatology Research (4 papers), Geomagnetism and Paleomagnetism Studies (4 papers) and Magnetic and Electromagnetic Effects (3 papers). The work is most often cited by research in Microbiology (28 citations), Molecular Biology (1.9k citations), Ecology (506 citations), Endocrinology (97 citations) and Plant Science (617 citations). Guy Perrière has collaborated with scholars based in France, Ireland and United States. Frequent co-authors include Manolo Gouy, Aedín C. Culhane, Desmond G. Higgins, Jean Thioulouse, Vincent Daubin, Laurent Duret, Emmanuelle Lerat, Jean‐Pierre Flandrois, Thomas G. Cotter and Elizabeth C. Considine. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, Computer applications in the biosciences, PLoS ONE and Molecular Biology and 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.