James Tsai
- Molecular Biology top 10%
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Computational Theory and Mathematics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Gideon BollagPrabha N. IbrahimPeter HirthK. B. NolopChao ZhangJiazhong ZhangHoward SafranMadhavi Tadi
- Topics
- Melanoma and MAPK Pathways (6 papers)Computational Drug Discovery Methods (5 papers)Gastric Cancer Management and Outcomes (5 papers)
- Partner nations
- United StatesTaiwanEcuador
In The Last Decade
James Tsai
26 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.1k
- Oncology 757
- Pathology and Forensic Medicine 319
- Computational Theory and Mathematics 260
- Pulmonary and Respiratory Medicine 238
Countries citing papers authored by James Tsai
This map shows the geographic impact of James 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 James Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Tsai more than expected).
Fields of papers citing papers by James Tsai
This network shows the impact of papers produced by James 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 James Tsai. The network helps show where James Tsai may publish in the future.
Co-authorship network of co-authors of James Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of James Tsai. A scholar is included among the top collaborators of James Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Tsai. James Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 10 | |
| 5 | 23 | |
| 6 | 8 | |
| 7 | Vemurafenib: the first drug approved for BRAF-mutant cancerbreakdown → | 594 |
| 8 | 124 | |
| 9 | 349 | |
| 10 | Development of a companion diagnostic test for inhibitors of V600E BRAF | 2 |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 29 | |
| 14 | 142 | |
| 15 | 46 | |
| 16 | 27 | |
| 17 | 16 | |
| 18 | 18 | |
| 19 | 39 | |
| 20 | 31 |
About James Tsai
James Tsai is a scholar working on Oncology, Gastroenterology and Computational Theory and Mathematics, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (6 papers), Computational Drug Discovery Methods (5 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Oncology (757 citations), Pathology and Forensic Medicine (319 citations) and Computational Theory and Mathematics (260 citations). James Tsai has collaborated with scholars based in United States, Taiwan and Ecuador. Frequent co-authors include Gideon Bollag, Prabha N. Ibrahim, Peter Hirth, K. B. Nolop, Chao Zhang, Jiazhong Zhang, Howard Safran, Madhavi Tadi, Poulikos I. Poulikakos and Ensar Halilovic. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.