Grégory Caignard
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 5%
- Viral Infections and Vectors
Papers in
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- Vector-Borne Animal Diseases 18
-
- Animal Disease Management and Epidemiology 17
- Co-authors
- Frédéric Tangy (8 shared papers)Pierre‐Olivier Vidalain (8 shared papers)Yves Jacob (6 shared papers)Stéphan Zientara (11 shared papers)Corinne Sailleau (9 shared papers)Damien Vitour (18 shared papers)Emmanuel Bréard (9 shared papers)Jean‐Louis Labernardière (2 shared papers)
- Journals
- Viruses (6 papers)Journal of Virology (4 papers)PLoS Pathogens (4 papers)Pathogens (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Grégory Caignard
34 papers receiving 841 citations
Peers
Comparison fields: 5 of 62
- Agronomy and Crop Science 244
- Infectious Diseases 391
- Ecology, Evolution, Behavior and Systematics 272
- Virology 52
- Immunology 229
Countries citing papers authored by Grégory Caignard
This map shows the geographic impact of Grégory Caignard'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 Grégory Caignard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Caignard more than expected).
Fields of papers citing papers by Grégory Caignard
This network shows the impact of papers produced by Grégory Caignard. 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 Grégory Caignard. The network helps show where Grégory Caignard may publish in the future.
Co-authors
The 25 scholars most cited alongside Grégory Caignard, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 126 | |
| 2 | 2007 | 105 | |
| 3 | 2008 | 63 | |
| 4 | 2015 | 60 | |
| 5 | 2017 | 52 | |
| 6 | 2009 | 49 | |
| 7 | 2017 | 49 | |
| 8 | 2009 | 44 | |
| 9 | 2011 | 43 | |
| 10 | 2019 | 33 | |
| 11 | 2016 | 26 | |
| 12 | 2013 | 22 | |
| 13 | 2013 | 19 | |
| 14 | 2019 | 17 | |
| 15 | 2014 | 16 | |
| 16 | 2009 | 15 | |
| 17 | 2021 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2020 | 9 | |
| 20 | 2021 | 9 |
About Grégory Caignard
Grégory Caignard is a scholar working on Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Infectious Diseases, Epidemiology and Immunology, having authored 36 papers that have together received 847 indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (18 papers), Animal Disease Management and Epidemiology (17 papers), Viral Infections and Vectors (10 papers), Virology and Viral Diseases (7 papers), interferon and immune responses (6 papers), Cytomegalovirus and herpesvirus research (4 papers), Virus-based gene therapy research (4 papers) and Agriculture and Farm Safety (3 papers). The work is most often cited by research in Agronomy and Crop Science (244 citations), Infectious Diseases (391 citations), Ecology, Evolution, Behavior and Systematics (272 citations), Virology (52 citations) and Immunology (229 citations). Grégory Caignard has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Frédéric Tangy, Pierre‐Olivier Vidalain, Yves Jacob, Stéphan Zientara, Corinne Sailleau, Damien Vitour, Emmanuel Bréard, Jean‐Louis Labernardière, Louis Jones and Cyril Viarouge. Their work appears in journals such as Viruses, Journal of Virology, PLoS Pathogens, Pathogens and PLoS ONE.
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.