Jan‐Show Chu
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Hepatology top 5%
Papers in
-
- Angiogenesis and VEGF in Cancer 6
- Wnt/β-catenin signaling in development and cancer 4
- Cancer-related gene regulation 3
- Oncology 20
- Cancer-related Molecular Pathways 10
- Co-authors
- Po‐Lin Lai (2 shared papers)Tsui‐Lien Mao (2 shared papers)Yung‐Ming Jeng (2 shared papers)Shian‐Yang Peng (1 shared paper)Hey‐Chi Hsu (1 shared paper)King‐Jen Chang (6 shared papers)Chih‐Hsiung Wu (5 shared papers)Yuan‐Soon Ho (3 shared papers)
- Journals
- Cancer Letters (4 papers)Breast Cancer Research and Treatment (2 papers)Diagnostic Pathology (2 papers)The Journal of Urology (2 papers)Toxicology and Applied Pharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jan‐Show Chu
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Cancer Research 308
- Hepatology 129
- Oncology 414
- Pathology and Forensic Medicine 215
- Molecular Biology 852
Countries citing papers authored by Jan‐Show Chu
This map shows the geographic impact of Jan‐Show Chu'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 Jan‐Show Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan‐Show Chu more than expected).
Fields of papers citing papers by Jan‐Show Chu
This network shows the impact of papers produced by Jan‐Show Chu. 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 Jan‐Show Chu. The network helps show where Jan‐Show Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan‐Show Chu, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 256 | |
| 2 | 2010 | 157 | |
| 3 | 2009 | 109 | |
| 4 | 2001 | 104 | |
| 5 | 1999 | 86 | |
| 6 | 2010 | 85 | |
| 7 | 1998 | 68 | |
| 8 | 2003 | 67 | |
| 9 | 2009 | 61 | |
| 10 | 2014 | 58 | |
| 11 | 2014 | 51 | |
| 12 | 1995 | 51 | |
| 13 | 2006 | 48 | |
| 14 | 2006 | 44 | |
| 15 | 1995 | 38 | |
| 16 | 2002 | 37 | |
| 17 | 2004 | 35 | |
| 18 | 2011 | 33 | |
| 19 | 2001 | 31 | |
| 20 | 2007 | 30 |
About Jan‐Show Chu
Jan‐Show Chu is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Surgery and Cancer Research, having authored 73 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (10 papers), Angiogenesis and VEGF in Cancer (6 papers), Breast Lesions and Carcinomas (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer and Skin Lesions (4 papers), Cancer-related gene regulation (3 papers) and Arsenic contamination and mitigation (3 papers). The work is most often cited by research in Cancer Research (308 citations), Hepatology (129 citations), Oncology (414 citations), Pathology and Forensic Medicine (215 citations) and Molecular Biology (852 citations). Jan‐Show Chu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Po‐Lin Lai, Tsui‐Lien Mao, Yung‐Ming Jeng, Shian‐Yang Peng, Hey‐Chi Hsu, King‐Jen Chang, Chih‐Hsiung Wu, Hey‐Chi Hsu, Yuan‐Soon Ho and Yeong‐Shiau Pu. Their work appears in journals such as Cancer Letters, Breast Cancer Research and Treatment, Diagnostic Pathology, The Journal of Urology and Toxicology and Applied Pharmacology.
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.