Jay G. Calvert
Impact in
- Animal Science and Zoology top 0.2%
- Animal Virus Infections Studies
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Animal Virus Infections Studies 25
-
- Viral gastroenteritis research and epidemiology 21
- Co-authors
- Dongwan Yoo (8 shared papers)Rika Jolie (6 shared papers)Xiang‐Jin Meng (6 shared papers)Changhee Lee (5 shared papers)Michael B. Roof (2 shared papers)Gourapura J. Renukaradhya (2 shared papers)Kelly M. Lager (2 shared papers)Shelly Shields (2 shared papers)
- Journals
- Virology (6 papers)Journal of Virology (4 papers)Avian Diseases (3 papers)Vaccine (3 papers)Virus Research (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jay G. Calvert
33 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 50
- Animal Science and Zoology 1.3k
- Infectious Diseases 1.1k
- Genetics 906
- Virology 69
- Agronomy and Crop Science 115
Countries citing papers authored by Jay G. Calvert
This map shows the geographic impact of Jay G. Calvert'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 Jay G. Calvert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay G. Calvert more than expected).
Fields of papers citing papers by Jay G. Calvert
This network shows the impact of papers produced by Jay G. Calvert. 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 Jay G. Calvert. The network helps show where Jay G. Calvert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay G. Calvert, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 294 | |
| 2 | 2015 | 144 | |
| 3 | 2012 | 136 | |
| 4 | 2010 | 99 | |
| 5 | 2015 | 93 | |
| 6 | 2005 | 83 | |
| 7 | 2004 | 79 | |
| 8 | 1994 | 78 | |
| 9 | 2015 | 59 | |
| 10 | 2007 | 58 | |
| 11 | 1991 | 58 | |
| 12 | 2008 | 55 | |
| 13 | 2004 | 48 | |
| 14 | 2009 | 47 | |
| 15 | 2008 | 41 | |
| 16 | 1993 | 36 | |
| 17 | 2004 | 34 | |
| 18 | 1992 | 21 | |
| 19 | 2019 | 21 | |
| 20 | 2020 | 20 |
About Jay G. Calvert
Jay G. Calvert is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Epidemiology and Virology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (25 papers), Viral gastroenteritis research and epidemiology (21 papers), Virus-based gene therapy research (21 papers), Herpesvirus Infections and Treatments (7 papers), Poxvirus research and outbreaks (4 papers), Plant Virus Research Studies (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Animal Science and Zoology (1.3k citations), Infectious Diseases (1.1k citations), Genetics (906 citations), Virology (69 citations) and Agronomy and Crop Science (115 citations). Jay G. Calvert has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Dongwan Yoo, Rika Jolie, Xiang‐Jin Meng, Changhee Lee, Michael B. Roof, Gourapura J. Renukaradhya, Kelly M. Lager, Shelly Shields, R G Ankenbauer and Jesse Summers. Their work appears in journals such as Virology, Journal of Virology, Avian Diseases, Vaccine and Virus Research.
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.