Wei‐Tien Tai
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Oncology top 5%
- Cytokine Signaling Pathways and Interactions
Papers in
-
- Protein Tyrosine Phosphatases 14
- PI3K/AKT/mTOR signaling in cancer 7
- Cell death mechanisms and regulation 3
- Oncology 21
- Cytokine Signaling Pathways and Interactions 16
- Co-authors
- Kuen‐Feng Chen (37 shared papers)Chung-Wai Shiau (24 shared papers)Pei‐Jer Chen (15 shared papers)Ann‐Lii Cheng (10 shared papers)Chun‐Yu Liu (15 shared papers)Jui-Wen Huang (8 shared papers)Hsiang–Po Huang (4 shared papers)Hui‐Ling Chen (4 shared papers)
- Journals
- Oncotarget (5 papers)Cancer Letters (3 papers)European Journal of Medicinal Chemistry (3 papers)Journal of Hepatology (2 papers)Clinical Cancer Research (2 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Wei‐Tien Tai
37 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 83
- Hepatology 348
- Oncology 566
- Cancer Research 291
- Pathology and Forensic Medicine 328
- Molecular Biology 1.0k
Countries citing papers authored by Wei‐Tien Tai
This map shows the geographic impact of Wei‐Tien Tai'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 Wei‐Tien Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Tien Tai more than expected).
Fields of papers citing papers by Wei‐Tien Tai
This network shows the impact of papers produced by Wei‐Tien Tai. 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 Wei‐Tien Tai. The network helps show where Wei‐Tien Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Tien Tai, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 265 | |
| 2 | 2010 | 155 | |
| 3 | 2011 | 141 | |
| 4 | 2011 | 113 | |
| 5 | 2013 | 86 | |
| 6 | 2014 | 85 | |
| 7 | 2012 | 73 | |
| 8 | 2015 | 71 | |
| 9 | 2013 | 66 | |
| 10 | 2013 | 64 | |
| 11 | 2012 | 51 | |
| 12 | 2016 | 50 | |
| 13 | 2013 | 47 | |
| 14 | 2014 | 46 | |
| 15 | 2012 | 44 | |
| 16 | 2016 | 44 | |
| 17 | 2014 | 43 | |
| 18 | 2012 | 41 | |
| 19 | 2016 | 37 | |
| 20 | 2011 | 33 |
About Wei‐Tien Tai
Wei‐Tien Tai is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Epidemiology and Immunology, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (16 papers), Protein Tyrosine Phosphatases (14 papers), Cancer Mechanisms and Therapy (8 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Galectins and Cancer Biology (3 papers), Cell death mechanisms and regulation (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Synthesis and biological activity (3 papers). The work is most often cited by research in Hepatology (348 citations), Oncology (566 citations), Cancer Research (291 citations), Pathology and Forensic Medicine (328 citations) and Molecular Biology (1.0k citations). Wei‐Tien Tai has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Kuen‐Feng Chen, Chung-Wai Shiau, Pei‐Jer Chen, Ann‐Lii Cheng, Chun‐Yu Liu, Jui-Wen Huang, Hsiang–Po Huang, Hui‐Ling Chen, Wen-Chi Feng and Pei‐Yi Chu. Their work appears in journals such as Oncotarget, Cancer Letters, European Journal of Medicinal Chemistry, Journal of Hepatology and Clinical Cancer Research.
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.