Billy Tsai
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Endocrinology top 2%
Papers in
- Cell Biology 39
- Endoplasmic Reticulum Stress and Disease 34
- Oncology 30
- Polyomavirus and related diseases 29
- Co-authors
- Tom A. Rapoport (6 shared papers)Wayne I. Lencer (6 shared papers)Takamasa Inoue (17 shared papers)Yihong Ye (2 shared papers)Chiara Rodighiero (4 shared papers)Peter Arvan (20 shared papers)Brian Magnuson (3 shared papers)Ling Qi (8 shared papers)
- Journals
- Journal of Virology (15 papers)PLoS Pathogens (11 papers)Molecular Biology of the Cell (10 papers)The Journal of Cell Biology (6 papers)Diabetes (3 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Billy Tsai
86 papers receiving 4.6k citations
Billy Tsai's Hit Papers
Peers
Comparison fields: 5 of 100
- Cell Biology 2.0k
- Endocrinology 251
- Immunology 730
- Oncology 870
- Infectious Diseases 552
Countries citing papers authored by Billy Tsai
This map shows the geographic impact of Billy Tsai'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 Billy Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Billy Tsai more than expected).
Fields of papers citing papers by Billy Tsai
This network shows the impact of papers produced by Billy Tsai. 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 Billy Tsai. The network helps show where Billy Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Billy Tsai, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Retro-translocation of proteins from the endoplasmic reticulum into the cytosol Hit paper breakdown → | 2002 | 543 |
| 2 | 2001 | 423 | |
| 3 | 2003 | 192 | |
| 4 | 2017 | 189 | |
| 5 | 2006 | 153 | |
| 6 | 2005 | 143 | |
| 7 | 2002 | 123 | |
| 8 | 2002 | 120 | |
| 9 | 2007 | 118 | |
| 10 | 2008 | 104 | |
| 11 | 2009 | 104 | |
| 12 | 2006 | 103 | |
| 13 | 2019 | 101 | |
| 14 | 2007 | 94 | |
| 15 | 2010 | 87 | |
| 16 | 2011 | 86 | |
| 17 | 2011 | 85 | |
| 18 | 2016 | 83 | |
| 19 | 2019 | 77 | |
| 20 | 2007 | 72 |
About Billy Tsai
Billy Tsai is a scholar working on Cell Biology, Oncology, Molecular Biology, Plant Science and Infectious Diseases, having authored 89 papers that have together received 4.6k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (34 papers), Polyomavirus and related diseases (29 papers), Plant Virus Research Studies (22 papers), Pancreatic function and diabetes (14 papers), Autophagy in Disease and Therapy (13 papers), Bacteriophages and microbial interactions (11 papers), Animal Virus Infections Studies (10 papers) and Heat shock proteins research (10 papers). The work is most often cited by research in Cell Biology (2.0k citations), Endocrinology (251 citations), Immunology (730 citations), Oncology (870 citations) and Infectious Diseases (552 citations). Billy Tsai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tom A. Rapoport, Wayne I. Lencer, Takamasa Inoue, Yihong Ye, Chiara Rodighiero, Peter Arvan, Brian Magnuson, Ling Qi, Jeffrey M. Williams and Parikshit Bagchi. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Molecular Biology of the Cell, The Journal of Cell Biology and Diabetes.
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.