T.M. Ellis
Impact in
- Agronomy and Crop Science top 0.05%
- Animal Disease Management and Epidemiology
- Infectious Diseases top 0.5%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 70
- Influenza Virus Research Studies 44
- Nail Diseases and Treatments 11
- Respiratory viral infections research 10
- Virology and Viral Diseases 9
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- Animal Disease Management and Epidemiology 52
- Co-authors
- Malik Peiris (24 shared papers)Yi Guan (23 shared papers)Robert G. Webster (11 shared papers)K. C. Dyrting (15 shared papers)Katharine Sturm‐Ramirez (6 shared papers)Scott Krauss (6 shared papers)Leo L. M. Poon (4 shared papers)Connie Y. H. Leung (6 shared papers)
In The Last Decade
T.M. Ellis
97 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 123
- Agronomy and Crop Science 2.8k
- Infectious Diseases 2.6k
- Epidemiology 4.1k
- Animal Science and Zoology 643
- Modeling and Simulation 236
Countries citing papers authored by T.M. Ellis
This map shows the geographic impact of T.M. Ellis'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 T.M. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. Ellis more than expected).
Fields of papers citing papers by T.M. Ellis
This network shows the impact of papers produced by T.M. Ellis. 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 T.M. Ellis. The network helps show where T.M. Ellis may publish in the future.
Co-authors
The 25 scholars most cited alongside T.M. Ellis, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 424 | |
| 2 | 2005 | 387 | |
| 3 | 2004 | 375 | |
| 4 | 2004 | 343 | |
| 5 | 2004 | 339 | |
| 6 | 2000 | 337 | |
| 7 | 2002 | 311 | |
| 8 | 2005 | 301 | |
| 9 | 2002 | 174 | |
| 10 | 2003 | 162 | |
| 11 | 2004 | 157 | |
| 12 | 2002 | 108 | |
| 13 | 1998 | 101 | |
| 14 | 2003 | 99 | |
| 15 | 2009 | 96 | |
| 16 | 2007 | 91 | |
| 17 | 2003 | 87 | |
| 18 | 2002 | 54 | |
| 19 | 1993 | 54 | |
| 20 | 1999 | 45 |
About T.M. Ellis
T.M. Ellis is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Immunology, having authored 98 papers that have together received 5.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (52 papers), Influenza Virus Research Studies (44 papers), Animal Virus Infections Studies (17 papers), Viral Infections and Vectors (16 papers), Viral gastroenteritis research and epidemiology (13 papers), Nail Diseases and Treatments (11 papers), Respiratory viral infections research (10 papers) and Virology and Viral Diseases (9 papers). The work is most often cited by research in Agronomy and Crop Science (2.8k citations), Infectious Diseases (2.6k citations), Epidemiology (4.1k citations), Animal Science and Zoology (643 citations) and Modeling and Simulation (236 citations). T.M. Ellis has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Malik Peiris, Yi Guan, Robert G. Webster, K. C. Dyrting, Katharine Sturm‐Ramirez, Scott Krauss, Leo L. M. Poon, Connie Y. H. Leung, K. F. Shortridge and W. F. Robinson. Their work appears in journals such as Veterinary Microbiology, Australian Veterinary Journal, Avian Diseases, Journal of Virology and Avian Pathology.
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.