Guy Oriol
Impact in
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 5
- HIV Research and Treatment 5
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- Chromosomal and Genetic Variations 13
- Co-authors
- François Mallet (26 shared papers)Valérie Cheynet (23 shared papers)Bernard Mandrand (9 shared papers)Olivier Bouton (3 shared papers)Jean-Luc Blond (2 shared papers)François‐Loïc Cosset (2 shared papers)Sylvie Chapel‐Fernandes (1 shared paper)Dimitri Lavillette (1 shared paper)
- Journals
- Journal of Virology (3 papers)Journal of Visualized Experiments (2 papers)BMC Genomics (2 papers)Bioconjugate Chemistry (2 papers)Viruses (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Guy Oriol
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Obstetrics and Gynecology 178
- Infectious Diseases 360
- Virology 76
- Plant Science 603
- Immunology 281
Countries citing papers authored by Guy Oriol
This map shows the geographic impact of Guy Oriol'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 Oriol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Oriol more than expected).
Fields of papers citing papers by Guy Oriol
This network shows the impact of papers produced by Guy Oriol. 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 Oriol. The network helps show where Guy Oriol may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Oriol, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 586 | |
| 2 | 2020 | 222 | |
| 3 | 2004 | 198 | |
| 4 | 2004 | 99 | |
| 5 | 2005 | 80 | |
| 6 | 2004 | 68 | |
| 7 | 2020 | 67 | |
| 8 | 2009 | 61 | |
| 9 | Continuous RT-PCR using AMV-RT and Taq DNA polymerase: characterization and comparison to uncoupled procedures. | 1995 | 50 |
| 10 | 2018 | 49 | |
| 11 | 2006 | 38 | |
| 12 | 2018 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2018 | 26 | |
| 15 | 2005 | 22 | |
| 16 | 1997 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2002 | 17 | |
| 19 | 2013 | 15 | |
| 20 | 2004 | 14 |
About Guy Oriol
Guy Oriol is a scholar working on Virology, Plant Science, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 46 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (13 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV Research and Treatment (5 papers), Animal Virus Infections Studies (5 papers), COVID-19 Clinical Research Studies (4 papers), Prenatal Screening and Diagnostics (4 papers), SARS-CoV-2 detection and testing (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Obstetrics and Gynecology (178 citations), Infectious Diseases (360 citations), Virology (76 citations), Plant Science (603 citations) and Immunology (281 citations). Guy Oriol has collaborated with scholars based in France, United States and Germany. Frequent co-authors include François Mallet, Valérie Cheynet, Bernard Mandrand, Olivier Bouton, Jean-Luc Blond, François‐Loïc Cosset, Sylvie Chapel‐Fernandes, Dimitri Lavillette, Sarah Prudhomme and Bertrand Bonnaud. Their work appears in journals such as Journal of Virology, Journal of Visualized Experiments, BMC Genomics, Bioconjugate Chemistry and Viruses.
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.