Tom Hooper
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Animal Virus Infections Studies 13
-
- Viral gastroenteritis research and epidemiology 10
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- Chien Chang Loa (9 shared papers)C. C. Wu (6 shared papers)H. L. Thacker (4 shared papers)Tiffany Lin (5 shared papers)Tsang Long Lin (6 shared papers)Ching Ching Wu (6 shared papers)Thomas Bryan (4 shared papers)Jolijn J Kragt (1 shared paper)
- Journals
- Journal of Veterinary Diagnostic Investigation (2 papers)Avian Diseases (2 papers)Poultry Science (1 paper)Veterinary Immunology and Immunopathology (1 paper)Veterinary Microbiology (1 paper)
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Tom Hooper
16 papers receiving 259 citations
Peers
Comparison fields: 5 of 59
- Animal Science and Zoology 137
- Infectious Diseases 131
- Immunology 51
- Microbiology 14
- Rheumatology 26
Countries citing papers authored by Tom Hooper
This map shows the geographic impact of Tom 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 Tom Hooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Hooper more than expected).
Fields of papers citing papers by Tom Hooper
This network shows the impact of papers produced by Tom 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 Tom Hooper. The network helps show where Tom Hooper may publish in the future.
Co-authors
The 24 scholars most cited alongside Tom 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 73 | |
| 2 | 2002 | 28 | |
| 3 | 2000 | 25 | |
| 4 | 2001 | 24 | |
| 5 | Nucleocapsid protein gene sequence analysis reveals close genomic relationship between turkey coronavirus and avian infectious bronchitis virus. | 2001 | 17 |
| 6 | 2005 | 16 | |
| 7 | 2002 | 14 | |
| 8 | 2009 | 13 | |
| 9 | 2002 | 12 | |
| 10 | 2004 | 11 | |
| 11 | 1992 | 9 | |
| 12 | 2002 | 8 | |
| 13 | 2002 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2003 | 3 | |
| 16 | 2018 | 2 |
About Tom Hooper
Tom Hooper is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Plant Science, having authored 16 papers that have together received 268 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (13 papers), Viral gastroenteritis research and epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Virus-based gene therapy research (4 papers), Viral Infections and Immunology Research (3 papers), Rabies epidemiology and control (1 paper), Mycotoxins in Agriculture and Food (1 paper) and African Sexualities and LGBTQ+ Issues (1 paper). The work is most often cited by research in Animal Science and Zoology (137 citations), Infectious Diseases (131 citations), Immunology (51 citations), Microbiology (14 citations) and Rheumatology (26 citations). Tom Hooper has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Chien Chang Loa, C. C. Wu, H. L. Thacker, Tiffany Lin, Tsang Long Lin, Ching Ching Wu, Thomas Bryan, Jolijn J Kragt, Chris H. Polman and François Rustenburg. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Avian Diseases, Poultry Science, Veterinary Immunology and Immunopathology and Veterinary Microbiology.
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.