Jane T. Seto
Impact in
-
- Sports Performance and Training
- Genetics top 1%
- Genetics and Physical Performance
Papers in
- Genetics 40
- Genetics and Physical Performance 24
- Virus-based gene therapy research 14
- Epidemiology 26
- Virology and Viral Diseases 14
- Influenza Virus Research Studies 9
- Co-authors
- R. Rott (20 shared papers)Kathryn N. North (25 shared papers)Daniel G. MacArthur (13 shared papers)Kate Quinlan (13 shared papers)Nan Yang (14 shared papers)Masato Tashiro (13 shared papers)Joanna M. Raftery (8 shared papers)R. Drzeniek (2 shared papers)
- Journals
- Human Molecular Genetics (8 papers)Virology (8 papers)Journal of Virology (7 papers)Archives of Virology (6 papers)Neuromuscular Disorders (5 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Jane T. Seto
73 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 119
- Orthopedics and Sports Medicine 575
- Genetics 1.3k
- Cardiology and Cardiovascular Medicine 538
- Epidemiology 768
- Cell Biology 404
Countries citing papers authored by Jane T. Seto
This map shows the geographic impact of Jane T. Seto'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 Jane T. Seto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane T. Seto more than expected).
Fields of papers citing papers by Jane T. Seto
This network shows the impact of papers produced by Jane T. Seto. 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 Jane T. Seto. The network helps show where Jane T. Seto may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane T. Seto, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 246 | |
| 2 | 2008 | 236 | |
| 3 | 1966 | 173 | |
| 4 | 2013 | 118 | |
| 5 | 1966 | 103 | |
| 6 | 2007 | 102 | |
| 7 | 2011 | 89 | |
| 8 | 2011 | 82 | |
| 9 | 1992 | 80 | |
| 10 | 2010 | 72 | |
| 11 | 2008 | 70 | |
| 12 | 2008 | 63 | |
| 13 | 1974 | 62 | |
| 14 | 2020 | 57 | |
| 15 | 2015 | 55 | |
| 16 | 1988 | 55 | |
| 17 | 1990 | 52 | |
| 18 | 2018 | 52 | |
| 19 | 2010 | 51 | |
| 20 | 1990 | 50 |
About Jane T. Seto
Jane T. Seto is a scholar working on Genetics, Epidemiology, Molecular Biology, Orthopedics and Sports Medicine and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetics and Physical Performance (24 papers), Sports Performance and Training (19 papers), Virus-based gene therapy research (14 papers), Cardiovascular Effects of Exercise (14 papers), Virology and Viral Diseases (14 papers), Muscle Physiology and Disorders (12 papers), Influenza Virus Research Studies (9 papers) and Muscle metabolism and nutrition (8 papers). The work is most often cited by research in Orthopedics and Sports Medicine (575 citations), Genetics (1.3k citations), Cardiology and Cardiovascular Medicine (538 citations), Epidemiology (768 citations) and Cell Biology (404 citations). Jane T. Seto has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include R. Rott, Kathryn N. North, Daniel G. MacArthur, Kate Quinlan, Nan Yang, Masato Tashiro, Joanna M. Raftery, R. Drzeniek, Jeffrey S. Chamberlain and Stewart I. Head. Their work appears in journals such as Human Molecular Genetics, Virology, Journal of Virology, Archives of Virology and Neuromuscular Disorders.
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.