Jay W. Hooper
Impact in
- Virology top 0.5%
- Poxvirus research and outbreaks
- Infectious Diseases top 0.2%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
Papers in
-
- Viral Infections and Vectors 56
- Viral Infections and Outbreaks Research 51
- SARS-CoV-2 and COVID-19 Research 10
- Epidemiology 25
- Herpesvirus Infections and Treatments 20
- Co-authors
- David Custer (7 shared papers)Connie S. Schmaljohn (15 shared papers)E. Ashley Thompson (4 shared papers)Joseph W. Golden (17 shared papers)Rebecca L. Brocato (20 shared papers)Connie S. Schmaljohn (4 shared papers)Matthew Josleyn (20 shared papers)A. L. Schmaljohn (2 shared papers)
- Journals
- Journal of Virology (15 papers)Virology (14 papers)Vaccine (10 papers)PLoS ONE (5 papers)Vaccines (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jay W. Hooper
94 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 88
- Virology 1.3k
- Infectious Diseases 2.8k
- Epidemiology 1.1k
- Immunology 681
- Global and Planetary Change 700
Countries citing papers authored by Jay W. Hooper
This map shows the geographic impact of Jay W. Hooper'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 W. Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay W. Hooper more than expected).
Fields of papers citing papers by Jay W. Hooper
This network shows the impact of papers produced by Jay W. Hooper. 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 W. Hooper. The network helps show where Jay W. Hooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay W. Hooper, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 328 | |
| 2 | 2004 | 249 | |
| 3 | 2001 | 206 | |
| 4 | 2003 | 188 | |
| 5 | 2000 | 156 | |
| 6 | 2006 | 134 | |
| 7 | 2020 | 133 | |
| 8 | 2005 | 118 | |
| 9 | 1999 | 112 | |
| 10 | 2003 | 110 | |
| 11 | 2001 | 107 | |
| 12 | 2007 | 101 | |
| 13 | 2016 | 97 | |
| 14 | 2019 | 88 | |
| 15 | 1993 | 83 | |
| 16 | 2003 | 78 | |
| 17 | 2007 | 76 | |
| 18 | 1999 | 70 | |
| 19 | 2011 | 69 | |
| 20 | 2023 | 61 |
About Jay W. Hooper
Jay W. Hooper is a scholar working on Infectious Diseases, Epidemiology, Global and Planetary Change, Virology and Molecular Biology, having authored 96 papers that have together received 4.6k indexed citations. Recurring topics across this work include Viral Infections and Vectors (56 papers), Viral Infections and Outbreaks Research (51 papers), Fire effects on ecosystems (23 papers), Poxvirus research and outbreaks (21 papers), Herpesvirus Infections and Treatments (20 papers), Vector-Borne Animal Diseases (14 papers), Bacillus and Francisella bacterial research (12 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Virology (1.3k citations), Infectious Diseases (2.8k citations), Epidemiology (1.1k citations), Immunology (681 citations) and Global and Planetary Change (700 citations). Jay W. Hooper has collaborated with scholars based in United States, China and Canada. Frequent co-authors include David Custer, Connie S. Schmaljohn, E. Ashley Thompson, Joseph W. Golden, Rebecca L. Brocato, Connie S. Schmaljohn, Matthew Josleyn, A. L. Schmaljohn, Thomas Larsen and Christopher Hammerbeck. Their work appears in journals such as Journal of Virology, Virology, Vaccine, PLoS ONE and Vaccines.
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.