Tom Hooper

409 citations
17 papers · 303 · h-index 10

Impact in

Papers in

Tom Hooper

17 papers receiving 291 citations

Peers

Tom Hooper
Comparison fields: 5 of 59
  • Animal Science and Zoology 155
  • Infectious Diseases 147
  • Microbiology 15
  • Immunology 44
  • Pathology and Forensic Medicine 33
Replace Yinli Xie with:
Yinli Xie China
Joan C. Enterline United States
Sonia Spandole-Dinu Romania
Xiaoli Wu China
Peter J. Buontempo United States
Rachelle L. Stammen United States
Jieyun Yin United States
Zhibang Zhang China
Francesco Serra Italy
Kateřina Štěpánová Czechia
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Citations per field
00.5×2×4×6×8.3×
Yinli Xie · 1×
Citations per year

Countries citing papers authored by Tom Hooper

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tom Hooper Line = papers co-authored together Tom Hooper links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200678
2 200231
3 200029
4 200127
5
Nucleocapsid protein gene sequence analysis reveals close genomic relationship between turkey coronavirus and avian infectious bronchitis virus.
200119
6 200519
7 200218
8 200915
9 200213
10 200412
11 199210
12 20029
13 20199
14 20027
15 20033
16 20183
17 20201

About Tom Hooper

Tom Hooper is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Virology, having authored 17 papers that have together received 303 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), Multiple Sclerosis Research Studies (1 paper) and Canadian Identity and History (1 paper). The work is most often cited by research in Animal Science and Zoology (155 citations), Infectious Diseases (147 citations), Microbiology (15 citations), Immunology (44 citations) and Pathology and Forensic Medicine (33 citations). Tom Hooper has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Chien Chang Loa, C. C. Wu, H. L. Thacker, Tiffany Lin, Ching Ching Wu, Tsang Long Lin, Thomas A. Bryan, C. L. Verweij, Josefien M. C. Baggen and C.D. Dijkstra. Their work appears in journals such as Avian Diseases, Journal of Veterinary Diagnostic Investigation, Canadian Historical Review, Comparative Immunology Microbiology and Infectious Diseases and Genes and Immunity.

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.

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