Wang-Chuan Chen
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Cell Biology top 10%
- melanin and skin pigmentation
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 5
-
- Drug-Induced Hepatotoxicity and Protection 2
- Co-authors
- Chiang‐Ting Chien (6 shared papers)Keng‐Chang Tsai (8 shared papers)Yu‐Ching Lee (8 shared papers)Chin-Chuan Tsai (2 shared papers)Tien‐Sheng Tseng (2 shared papers)Nai‐Wan Hsiao (2 shared papers)Zhi‐Hong Wen (1 shared paper)Yun-Lian Lin (1 shared paper)
- Journals
- Journal of Traditional and Complementary Medicine (1 paper)Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (1 paper)EXPERIMENTAL ANIMALS (1 paper)The American Journal of Chinese Medicine (1 paper)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Wang-Chuan Chen
15 papers receiving 440 citations
Peers
Comparison fields: 5 of 73
- Biochemistry 66
- Cell Biology 137
- Complementary and alternative medicine 60
- Nutrition and Dietetics 105
- Pharmacology 49
Countries citing papers authored by Wang-Chuan Chen
This map shows the geographic impact of Wang-Chuan Chen'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 Wang-Chuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang-Chuan Chen more than expected).
Fields of papers citing papers by Wang-Chuan Chen
This network shows the impact of papers produced by Wang-Chuan Chen. 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 Wang-Chuan Chen. The network helps show where Wang-Chuan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang-Chuan Chen, 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 | 2015 | 158 | |
| 2 | 2009 | 72 | |
| 3 | 2013 | 46 | |
| 4 | 2004 | 36 | |
| 5 | 2004 | 33 | |
| 6 | 2014 | 27 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 12 | |
| 9 | 2006 | 11 | |
| 10 | 2018 | 8 | |
| 11 | 2009 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2015 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 2009 | 3 |
About Wang-Chuan Chen
Wang-Chuan Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pharmacology, Immunology, Urology and Complementary and alternative medicine, having authored 15 papers that have together received 448 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (3 papers), Neuropeptides and Animal Physiology (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Urinary Bladder and Prostate Research (2 papers), melanin and skin pigmentation (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Biochemistry (66 citations), Cell Biology (137 citations), Complementary and alternative medicine (60 citations), Nutrition and Dietetics (105 citations) and Pharmacology (49 citations). Wang-Chuan Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Chiang‐Ting Chien, Keng‐Chang Tsai, Yu‐Ching Lee, Chin-Chuan Tsai, Tien‐Sheng Tseng, Nai‐Wan Hsiao, Zhi‐Hong Wen, Yun-Lian Lin, Ping-Chia Li and Satoshi Hayakawa. Their work appears in journals such as Journal of Traditional and Complementary Medicine, Scientific Reports, Biochemical and Biophysical Research Communications, EXPERIMENTAL ANIMALS and The American Journal of Chinese Medicine.
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.