Jen‐Tsan Chi
Impact in
- Cancer Research top 0.1%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Cancer, Hypoxia, and Metabolism 28
- Cancer-related molecular mechanisms research 14
- Cancer, Lipids, and Metabolism 10
- Cell Biology 26
- Hippo pathway signaling and YAP/TAZ 13
- Co-authors
- Patrick O. BrownHoward Y. ChangDavid BotsteinMatt van de RijnWen‐Hsuan YangJianli WuChien‐Kuang Cornelia DingChao‐Chieh Lin
- Journals
- PLoS ONE (9 papers)PLoS Genetics (8 papers)Cancer Research (7 papers)Proceedings of the National Academy of Sciences (6 papers)Nature Communications (4 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Jen‐Tsan Chi
140 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cancer Research 4.6k
- Molecular Biology 7.1k
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 2.0k
- Cell Biology 1.0k
Countries citing papers authored by Jen‐Tsan Chi
This map shows the geographic impact of Jen‐Tsan Chi'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 Jen‐Tsan Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jen‐Tsan Chi more than expected).
Fields of papers citing papers by Jen‐Tsan Chi
This network shows the impact of papers produced by Jen‐Tsan Chi. 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 Jen‐Tsan Chi. The network helps show where Jen‐Tsan Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jen‐Tsan Chi, 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 | 2024 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 44 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 235 | |
| 8 | 2019 | 60 | |
| 9 | The Hippo Pathway Effector TAZ Regulates Ferroptosis in Renal Cell Carcinoma Hit paper breakdown → | 2019 | 363 |
| 10 | 2017 | 89 | |
| 11 | 2017 | 85 | |
| 12 | 2016 | 67 | |
| 13 | 2015 | 34 | |
| 14 | 2015 | 20 | |
| 15 | 2014 | 9 | |
| 16 | 2012 | 22 | |
| 17 | 2011 | 456 | |
| 18 | 2011 | 86 | |
| 19 | 2011 | 27 | |
| 20 | 2003 | 220 |
About Jen‐Tsan Chi
Jen‐Tsan Chi is a scholar working on Cancer Research, Cell Biology, Molecular Biology, Biochemistry and Hematology, having authored 146 papers that have together received 11.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (28 papers), RNA modifications and cancer (27 papers), Ferroptosis and cancer prognosis (16 papers), Epigenetics and DNA Methylation (14 papers), Cancer-related molecular mechanisms research (14 papers), Hippo pathway signaling and YAP/TAZ (13 papers), Cancer, Lipids, and Metabolism (10 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Cancer Research (4.6k citations), Molecular Biology (7.1k citations), Oncology (1.8k citations), Pulmonary and Respiratory Medicine (2.0k citations) and Cell Biology (1.0k citations). Jen‐Tsan Chi has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Patrick O. Brown, Howard Y. Chang, David Botstein, Matt van de Rijn, Wen‐Hsuan Yang, Jianli Wu, Chien‐Kuang Cornelia Ding, Chao‐Chieh Lin, Marilyn J. Telen and Carolyn Sangokoya. Their work appears in journals such as PLoS ONE, PLoS Genetics, Cancer Research, Proceedings of the National Academy of Sciences and Nature Communications.
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.