Ching‐Fen Wu
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- Natural product bioactivities and synthesis 4
-
- Traditional Chinese Medicine Analysis 4
- Co-authors
- Thomas Efferth (11 shared papers)Yun‐Lian Lin (5 shared papers)Sabine M. Klauck (4 shared papers)Yi‐Tsau Huang (3 shared papers)Yung‐Tsung Chiu (2 shared papers)Yi‐Chao Hsu (2 shared papers)Chunlan Hong (3 shared papers)Yi-Tsau Huang (2 shared papers)
- Journals
- Journal of Gastroenterology and Hepatology (2 papers)Archives of Toxicology (2 papers)Frontiers in Pharmacology (2 papers)Scientific Reports (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- GermanyTaiwanUnited States
In The Last Decade
Ching‐Fen Wu
19 papers receiving 468 citations
Peers
Comparison fields: 5 of 85
- Pharmacology 93
- Hepatology 79
- Complementary and alternative medicine 67
- Biochemistry 35
- Pharmacology 56
Countries citing papers authored by Ching‐Fen Wu
This map shows the geographic impact of Ching‐Fen Wu'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 Ching‐Fen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Fen Wu more than expected).
Fields of papers citing papers by Ching‐Fen Wu
This network shows the impact of papers produced by Ching‐Fen Wu. 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 Ching‐Fen Wu. The network helps show where Ching‐Fen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Fen Wu, 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 | 2006 | 74 | |
| 2 | 2015 | 47 | |
| 3 | 2016 | 44 | |
| 4 | 2014 | 39 | |
| 5 | 2017 | 35 | |
| 6 | 2015 | 28 | |
| 7 | 2008 | 26 | |
| 8 | 2015 | 25 | |
| 9 | 2014 | 23 | |
| 10 | 2006 | 22 | |
| 11 | 2009 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2017 | 15 | |
| 15 | 2016 | 14 | |
| 16 | 2016 | 13 | |
| 17 | 2022 | 6 | |
| 18 | 2010 | 4 | |
| 19 | 2016 | 2 |
About Ching‐Fen Wu
Ching‐Fen Wu is a scholar working on Molecular Biology, Complementary and alternative medicine, Hepatology, Epidemiology and Plant Science, having authored 19 papers that have together received 475 indexed citations. Recurring topics across this work include Liver physiology and pathology (5 papers), Natural product bioactivities and synthesis (4 papers), Traditional Chinese Medicine Analysis (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Tryptophan and brain disorders (2 papers), Tea Polyphenols and Effects (2 papers), Pancreatic function and diabetes (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Pharmacology (93 citations), Hepatology (79 citations), Complementary and alternative medicine (67 citations), Biochemistry (35 citations) and Pharmacology (56 citations). Ching‐Fen Wu has collaborated with scholars based in Germany, Taiwan and United States. Frequent co-authors include Thomas Efferth, Yun‐Lian Lin, Sabine M. Klauck, Yi‐Tsau Huang, Yung‐Tsung Chiu, Yi‐Chao Hsu, Chunlan Hong, Yi-Tsau Huang, Ching‐Chang Cheng and Anastasia Karioti. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Archives of Toxicology, Frontiers in Pharmacology, Scientific Reports and Journal of Cellular Biochemistry.
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.