Wei-Chu Li
Impact in
- Pharmacology top 5%
- Berberine and alkaloids research
- Pharmacological Effects of Natural Compounds
- Drug-Induced Hepatotoxicity and Protection
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- Traditional Chinese Medicine Analysis
Papers in
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- Ginseng Biological Effects and Applications 3
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- Drug-Induced Hepatotoxicity and Protection 2
- Alkaloids: synthesis and pharmacology 2
- Co-authors
- Yueh‐Hsiung Kuo (1 shared paper)Wen‐Wan Chao (1 shared paper)Bi‐Fong Lin (1 shared paper)Shapour Azarm (3 shared papers)Hsiao‐Wei Wen (3 shared papers)Wen‐Che Tsai (2 shared papers)Yung‐Chang Lin (1 shared paper)Yufeng Jane Tseng (2 shared papers)
- Journals
- Journal of Ethnopharmacology (1 paper)Engineering Optimization (1 paper)Talanta (1 paper)Phytotherapy Research (1 paper)International Journal of Pharmaceutics (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Wei-Chu Li
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 90
- Complementary and alternative medicine 72
- Drug Discovery 1
- Pharmacology 57
- Analytical Chemistry 31
Countries citing papers authored by Wei-Chu Li
This map shows the geographic impact of Wei-Chu Li'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-Chu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei-Chu Li more than expected).
Fields of papers citing papers by Wei-Chu Li
This network shows the impact of papers produced by Wei-Chu Li. 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-Chu Li. The network helps show where Wei-Chu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei-Chu Li, 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 | 2008 | 74 | |
| 2 | 2012 | 47 | |
| 3 | 2009 | 44 | |
| 4 | 2019 | 41 | |
| 5 | 2008 | 37 | |
| 6 | 1988 | 20 | |
| 7 | 2011 | 18 | |
| 8 | 2005 | 15 | |
| 9 | 2013 | 15 | |
| 10 | 2009 | 11 | |
| 11 | 1987 | 5 | |
| 12 | Multi-Level Design Optimization Using Global Monotonicity. | 1988 | 0 |
About Wei-Chu Li
Wei-Chu Li is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 327 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (3 papers), Nephrotoxicity and Medicinal Plants (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Probabilistic and Robust Engineering Design (2 papers), Manufacturing Process and Optimization (2 papers), Heavy Metals in Plants (2 papers), Alkaloids: synthesis and pharmacology (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Pharmacology (90 citations), Complementary and alternative medicine (72 citations), Drug Discovery (1 citation), Pharmacology (57 citations) and Analytical Chemistry (31 citations). Wei-Chu Li has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yueh‐Hsiung Kuo, Wen‐Wan Chao, Bi‐Fong Lin, Shapour Azarm, Hsiao‐Wei Wen, Wen‐Che Tsai, Yung‐Chang Lin, Yufeng Jane Tseng, Shoei‐Sheng Lee and Ching‐Hua Kuo. Their work appears in journals such as Journal of Ethnopharmacology, Engineering Optimization, Talanta, Phytotherapy Research and International Journal of Pharmaceutics.
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.