Jun Tsao
Impact in
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
- Infectious Diseases top 2%
- Parvovirus B19 Infection Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Vectors
Papers in
- Epidemiology 14
- Virology and Viral Diseases 9
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- Parvovirus B19 Infection Studies 4
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 3
- Co-authors
- Ming Luo (20 shared papers)Todd J. Green (7 shared papers)Michael G. Rossmann (7 shared papers)Michael S. Chapman (4 shared papers)Shihong Qiu (10 shared papers)Mavis Agbandje (3 shared papers)Walter Keller (3 shared papers)Z. Hong Zhou (4 shared papers)
- Journals
- Journal of Virology (5 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science (2 papers)Molecular Therapy — Oncolytics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Jun Tsao
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 88
- Animal Science and Zoology 350
- Infectious Diseases 549
- Virology 89
- Genetics 516
- Epidemiology 361
Countries citing papers authored by Jun Tsao
This map shows the geographic impact of Jun Tsao'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 Jun Tsao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tsao more than expected).
Fields of papers citing papers by Jun Tsao
This network shows the impact of papers produced by Jun Tsao. 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 Jun Tsao. The network helps show where Jun Tsao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tsao, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 439 | |
| 2 | 2010 | 198 | |
| 3 | 2004 | 87 | |
| 4 | 2002 | 85 | |
| 5 | 2011 | 74 | |
| 6 | 2000 | 64 | |
| 7 | 2014 | 53 | |
| 8 | 2007 | 53 | |
| 9 | 2007 | 43 | |
| 10 | 2010 | 40 | |
| 11 | 2007 | 32 | |
| 12 | 2014 | 32 | |
| 13 | 1992 | 30 | |
| 14 | 1992 | 26 | |
| 15 | 1999 | 25 | |
| 16 | 2022 | 19 | |
| 17 | 1988 | 17 | |
| 18 | 2009 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2022 | 12 |
About Jun Tsao
Jun Tsao is a scholar working on Epidemiology, Infectious Diseases, Genetics, Ecology and Molecular Biology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Virology and Viral Diseases (9 papers), Bacteriophages and microbial interactions (9 papers), Animal Virus Infections Studies (5 papers), Parvovirus B19 Infection Studies (4 papers), Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Animal Science and Zoology (350 citations), Infectious Diseases (549 citations), Virology (89 citations), Genetics (516 citations) and Epidemiology (361 citations). Jun Tsao has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Ming Luo, Todd J. Green, Michael G. Rossmann, Michael S. Chapman, Shihong Qiu, Mavis Agbandje, Walter Keller, Z. Hong Zhou, Richard W. Compans and P. Ge. Their work appears in journals such as Journal of Virology, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Science and Molecular Therapy — Oncolytics.
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.