Wei-Chu Li
Impact in
- Pharmacology top 5%
- Berberine and alkaloids research
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
-
- Traditional Chinese Medicine Analysis
- Andrographolide Research and Applications
Papers in
-
- Ginseng Biological Effects and Applications 2
-
- Drug-Induced Hepatotoxicity and Protection 2
- Alkaloids: synthesis and pharmacology 2
- Co-authors
- Bi‐Fong Lin (1 shared paper)Yueh‐Hsiung Kuo (1 shared paper)Wen‐Wan Chao (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)Shoei‐Sheng Lee (2 shared papers)
- Journals
- Phytochemistry (1 paper)Journal of Ethnopharmacology (1 paper)Engineering Optimization (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)Journal of Pharmacological Sciences (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Wei-Chu Li
11 papers receiving 320 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 78
- Complementary and alternative medicine 63
- Drug Discovery 1
- Pharmacology 51
- Analytical Chemistry 28
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 | 42 | |
| 5 | 2008 | 37 | |
| 6 | 1988 | 20 | |
| 7 | 2011 | 19 | |
| 8 | 2005 | 15 | |
| 9 | 2013 | 15 | |
| 10 | 2009 | 12 | |
| 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 330 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (2 papers), Probabilistic and Robust Engineering Design (2 papers), Heavy Metals in Plants (2 papers), Ginseng Biological Effects and Applications (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Nephrotoxicity and Medicinal Plants (2 papers), Manufacturing Process and Optimization (2 papers) and Alkaloids: synthesis and pharmacology (2 papers). The work is most often cited by research in Pharmacology (78 citations), Complementary and alternative medicine (63 citations), Drug Discovery (1 citation), Pharmacology (51 citations) and Analytical Chemistry (28 citations). Wei-Chu Li has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Bi‐Fong Lin, Yueh‐Hsiung Kuo, Wen‐Wan Chao, Shapour Azarm, Hsiao‐Wei Wen, Wen‐Che Tsai, Yung‐Chang Lin, Shoei‐Sheng Lee, I‐Lin Tsai and Ching‐Hua Kuo. Their work appears in journals such as Phytochemistry, Journal of Ethnopharmacology, Engineering Optimization, Evidence-based Complementary and Alternative Medicine and Journal of Pharmacological Sciences.
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.