David Abrial
Impact in
- Parasitology top 1%
- Vector-borne infectious diseases
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
Papers in
-
- Animal Disease Management and Epidemiology 14
- Parasitology 12
- Vector-borne infectious diseases 11
- Co-authors
- Christian Ducrot (15 shared papers)Didier Calavas (11 shared papers)Patrick Gasqui (8 shared papers)Gwenaël Vourc’h (6 shared papers)Séverine Bord (4 shared papers)Lénaïg Halos (4 shared papers)Xavier Bailly (5 shared papers)Nathalie Jarrige (3 shared papers)
- Journals
- Veterinary Research (9 papers)PLoS ONE (4 papers)BMC Veterinary Research (3 papers)Preventive Veterinary Medicine (2 papers)EcoHealth (1 paper)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
David Abrial
33 papers receiving 857 citations
Peers
Comparison fields: 5 of 76
- Parasitology 431
- Agronomy and Crop Science 223
- Infectious Diseases 352
- Endocrinology 57
- Ecology, Evolution, Behavior and Systematics 205
Countries citing papers authored by David Abrial
This map shows the geographic impact of David Abrial'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 David Abrial with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Abrial more than expected).
Fields of papers citing papers by David Abrial
This network shows the impact of papers produced by David Abrial. 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 David Abrial. The network helps show where David Abrial may publish in the future.
Co-authors
The 25 scholars most cited alongside David Abrial, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 112 | |
| 2 | 2009 | 83 | |
| 3 | 2016 | 61 | |
| 4 | 2004 | 48 | |
| 5 | 2012 | 44 | |
| 6 | 2011 | 41 | |
| 7 | 2012 | 40 | |
| 8 | 2019 | 38 | |
| 9 | 2015 | 35 | |
| 10 | 2013 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2005 | 27 | |
| 13 | 2014 | 27 | |
| 14 | 2014 | 26 | |
| 15 | 2021 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2004 | 22 | |
| 18 | 2011 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 2003 | 15 |
About David Abrial
David Abrial is a scholar working on Agronomy and Crop Science, Parasitology, Molecular Biology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 34 papers that have together received 883 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Vector-borne infectious diseases (11 papers), Prion Diseases and Protein Misfolding (9 papers), Vector-Borne Animal Diseases (7 papers), Viral Infections and Vectors (7 papers), Salmonella and Campylobacter epidemiology (4 papers), Data-Driven Disease Surveillance (4 papers) and Zoonotic diseases and public health (3 papers). The work is most often cited by research in Parasitology (431 citations), Agronomy and Crop Science (223 citations), Infectious Diseases (352 citations), Endocrinology (57 citations) and Ecology, Evolution, Behavior and Systematics (205 citations). David Abrial has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Christian Ducrot, Didier Calavas, Patrick Gasqui, Gwenaël Vourc’h, Séverine Bord, Lénaïg Halos, Xavier Bailly, Nathalie Jarrige, Maude Jacquot and Jacques Barnouin. Their work appears in journals such as Veterinary Research, PLoS ONE, BMC Veterinary Research, Preventive Veterinary Medicine and EcoHealth.
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.