Shih-Feng Tsai
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 7
- Endocrinology top 2%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 4
- Mitochondrial Function and Pathology 3
- Ubiquitin and proteasome pathways 3
- Cancer Research top 5%
- Oncology top 5%
- HER2/EGFR in Cancer Research 3
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- Aquaculture disease management and microbiota 3
- Co-authors
- Larysa PevnyStuart H. OrkinWilliam H. KleinFrank CostantiniElizabeth RobertsonVivette D. D’AgatiYing-Tsong ChenHwan‐You Chang
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shih-Feng Tsai
48 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Medicine 516
- Endocrinology 299
- Molecular Biology 2.5k
- Cancer Research 414
- Oncology 735
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 | 2024 | 0 | |
| 2 | 2021 | 8 | |
| 3 | 2017 | 34 | |
| 4 | 2017 | 60 | |
| 5 | 2016 | 9 | |
| 6 | 2015 | 31 | |
| 7 | 2013 | 32 | |
| 8 | 2013 | 76 | |
| 9 | 2013 | 15 | |
| 10 | 2012 | 41 | |
| 11 | 2012 | 80 | |
| 12 | 2012 | 10 | |
| 13 | 2011 | 51 | |
| 14 | 2011 | 7 | |
| 15 | 2009 | 333 | |
| 16 | 2006 | 70 | |
| 17 | 2004 | 267 | |
| 18 | 2003 | 24 | |
| 19 | 1994 | 10 | |
| 20 | Erythroid differentiation in chimaeric mice blocked by a targeted mutation in the gene for transcription factor GATA-1breakdown → | 1991 | 1125 |
About Shih-Feng Tsai
Shih-Feng Tsai is a scholar working on Molecular Medicine, Aging and Endocrinology, having authored 49 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (4 papers), Mitochondrial Function and Pathology (3 papers), Aquaculture disease management and microbiota (3 papers), Ubiquitin and proteasome pathways (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Molecular Medicine (516 citations), Endocrinology (299 citations) and Molecular Biology (2.5k citations). Shih-Feng Tsai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Larysa Pevny, Stuart H. Orkin, William H. Klein, Frank Costantini, Elizabeth Robertson, Vivette D. D’Agati, Ying-Tsong Chen, Hwan‐You Chang, Ya-Ting Chen and Ting‐Fen Tsai. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.