Shih‐Feng Tsai
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 14
- Endocrinology top 1%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 3
- Genetics top 5%
- Bacterial Genetics and Biotechnology 5
- Hematology top 5%
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- T-cell and B-cell Immunology 4
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- Lung Cancer Treatments and Mutations 4
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- Streptococcal Infections and Treatments 3
- Co-authors
- Stuart H. OrkinDavid I. K. MartinAlan D. D’AndreaLeonard I. ZonGordon WongTzu‐Lung LinPei‐Fang HsiehKeh-Ming Wu
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shih‐Feng Tsai
67 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Medicine 747
- Endocrinology 355
- Molecular Biology 1.9k
- Genetics 285
- Hematology 273
Countries citing papers authored by Shih‐Feng Tsai
This map shows the geographic impact of Shih‐Feng 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 Shih‐Feng Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Feng Tsai more than expected).
Fields of papers citing papers by Shih‐Feng Tsai
This network shows the impact of papers produced by Shih‐Feng 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 Shih‐Feng Tsai. The network helps show where Shih‐Feng Tsai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Feng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 5 | |
| 3 | 2017 | 15 | |
| 4 | 2016 | 7 | |
| 5 | 2016 | 15 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 17 | |
| 8 | 2013 | 18 | |
| 9 | 2012 | 18 | |
| 10 | 2012 | 118 | |
| 11 | 2012 | 31 | |
| 12 | 2009 | 16 | |
| 13 | 2008 | 181 | |
| 14 | 2008 | 8 | |
| 15 | 2008 | 41 | |
| 16 | 2004 | 97 | |
| 17 | Role of Tole in Vibrio vulnificus Virulence in Mice | 2001 | 0 |
| 18 | 1989 | 56 | |
| 19 | 1989 | 262 | |
| 20 | 1987 | 42 |
About Shih‐Feng Tsai
Shih‐Feng Tsai is a scholar working on Molecular Medicine, Endocrinology and Infectious Diseases, having authored 70 papers that have together received 3.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Genomics and Phylogenetic Studies (5 papers), Bacterial Genetics and Biotechnology (5 papers), T-cell and B-cell Immunology (4 papers), Lung Cancer Treatments and Mutations (4 papers), Streptococcal Infections and Treatments (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Molecular Medicine (747 citations), Endocrinology (355 citations) and Molecular Biology (1.9k citations). Shih‐Feng Tsai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Stuart H. Orkin, David I. K. Martin, Alan D. D’Andrea, Leonard I. Zon, Gordon Wong, Tzu‐Lung Lin, Pei‐Fang Hsieh, Keh-Ming Wu, Ih‐Jen Su and Ying-Tsong Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.