Te‐Fu Tsai
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Genomics, phytochemicals, and oxidative stress 11
- Extracellular vesicles in disease 4
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 6
- Cancer, Lipids, and Metabolism 4
- Co-authors
- Kuang‐Yu Chou (40 shared papers)Yi‐Chia Lin (36 shared papers)Hung‐En Chen (32 shared papers)Ji‐Fan Lin (31 shared papers)Thomas I‐Sheng Hwang (29 shared papers)Po‐Chun Chen (9 shared papers)Thomas I.S. Hwang (13 shared papers)Yi‐Hsuan Lin (3 shared papers)
- Journals
- The Journal of Urology (6 papers)Environmental Toxicology (3 papers)Drug Design Development and Therapy (3 papers)International Journal of Oncology (3 papers)Bioscience Reports (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Te‐Fu Tsai
44 papers receiving 886 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 264
- Geriatrics and Gerontology 33
- Epidemiology 289
- Molecular Biology 546
- Physiology 36
Countries citing papers authored by Te‐Fu Tsai
This map shows the geographic impact of Te‐Fu 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 Te‐Fu Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Fu Tsai more than expected).
Fields of papers citing papers by Te‐Fu Tsai
This network shows the impact of papers produced by Te‐Fu 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 Te‐Fu Tsai. The network helps show where Te‐Fu Tsai may publish in the future.
Co-authors
The 16 scholars most cited alongside Te‐Fu 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2017 | 92 | |
| 3 | 2016 | 73 | |
| 4 | 2012 | 68 | |
| 5 | 2015 | 48 | |
| 6 | 2019 | 45 | |
| 7 | 2018 | 44 | |
| 8 | 2011 | 41 | |
| 9 | 2010 | 32 | |
| 10 | 2017 | 32 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2022 | 21 | |
| 15 | 2020 | 20 | |
| 16 | 2019 | 19 | |
| 17 | 2019 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2023 | 18 |
About Te‐Fu Tsai
Te‐Fu Tsai is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 45 papers that have together received 895 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (14 papers), Genomics, phytochemicals, and oxidative stress (11 papers), MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (6 papers), Cancer, Lipids, and Metabolism (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Extracellular vesicles in disease (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (264 citations), Geriatrics and Gerontology (33 citations), Epidemiology (289 citations), Molecular Biology (546 citations) and Physiology (36 citations). Te‐Fu Tsai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuang‐Yu Chou, Yi‐Chia Lin, Hung‐En Chen, Ji‐Fan Lin, Thomas I‐Sheng Hwang, Po‐Chun Chen, Thomas I.S. Hwang, Yi‐Hsuan Lin, An‐Chen Chang and Luke S. Chang. Their work appears in journals such as The Journal of Urology, Environmental Toxicology, Drug Design Development and Therapy, International Journal of Oncology and Bioscience Reports.
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.