Hsinyi Tsang
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 6
- HIV/AIDS Research and Interventions 2
- Virology 5
- HIV Research and Treatment 5
- Co-authors
- Ying‐Ju Lin (12 shared papers)Mark F. Kavlick (2 shared papers)Hiroaki Mitsuya (2 shared papers)Shao-Mei Huang (12 shared papers)Chiu-Chu Liao (12 shared papers)Ting-Hsu Lin (12 shared papers)Fuu‐Jen Tsai (13 shared papers)Tsung‐Jung Ho (9 shared papers)
- Journals
- Biomedicine (3 papers)Cell & Bioscience (3 papers)Journal of Ethnopharmacology (3 papers)The Journal of Immunology (3 papers)Phytomedicine (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Hsinyi Tsang
26 papers receiving 581 citations
Peers
Comparison fields: 5 of 80
- Virology 135
- Infectious Diseases 155
- Immunology 89
- Pharmacology 30
- Complementary and alternative medicine 27
Countries citing papers authored by Hsinyi Tsang
This map shows the geographic impact of Hsinyi Tsang'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 Hsinyi Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsinyi Tsang more than expected).
Fields of papers citing papers by Hsinyi Tsang
This network shows the impact of papers produced by Hsinyi Tsang. 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 Hsinyi Tsang. The network helps show where Hsinyi Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsinyi Tsang, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 122 | |
| 2 | 2017 | 53 | |
| 3 | 2015 | 35 | |
| 4 | 2019 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 1984 | 31 | |
| 7 | 2018 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2003 | 23 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 2017 | 17 | |
| 14 | 2003 | 17 | |
| 15 | 2015 | 17 | |
| 16 | 1988 | 13 | |
| 17 | 2000 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2014 | 10 | |
| 20 | 2005 | 9 |
About Hsinyi Tsang
Hsinyi Tsang is a scholar working on Infectious Diseases, Virology, Molecular Biology, Immunology and Surgery, having authored 28 papers that have together received 597 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (6 papers), HIV Research and Treatment (5 papers), Kawasaki Disease and Coronary Complications (3 papers), HIV-related health complications and treatments (3 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS Research and Interventions (2 papers), Immune Cell Function and Interaction (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Virology (135 citations), Infectious Diseases (155 citations), Immunology (89 citations), Pharmacology (30 citations) and Complementary and alternative medicine (27 citations). Hsinyi Tsang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ying‐Ju Lin, Mark F. Kavlick, Hiroaki Mitsuya, Shao-Mei Huang, Chiu-Chu Liao, Ting-Hsu Lin, Fuu‐Jen Tsai, Tsung‐Jung Ho, Chi‐Fung Cheng and Robert J. Gorelick. Their work appears in journals such as Biomedicine, Cell & Bioscience, Journal of Ethnopharmacology, The Journal of Immunology and Phytomedicine.
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.