Ka Wu
Impact in
- Pharmacology top 2%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
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- Drug-Induced Hepatotoxicity and Protection 6
- Ginger and Zingiberaceae research 2
- Co-authors
- Rong Li (8 shared papers)Chao Guo (11 shared papers)Min Su (11 shared papers)Xinmou Wu (7 shared papers)Liang Xiao (4 shared papers)Xiaoliu Liang (4 shared papers)Xiaoying Huang (1 shared paper)Yu Li (2 shared papers)
In The Last Decade
Ka Wu
27 papers receiving 782 citations
Peers
Comparison fields: 5 of 94
- Pharmacology 160
- Complementary and alternative medicine 59
- Nutrition and Dietetics 103
- Pathology and Forensic Medicine 107
- Biochemistry 32
Countries citing papers authored by Ka Wu
This map shows the geographic impact of Ka 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 Ka Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Wu more than expected).
Fields of papers citing papers by Ka Wu
This network shows the impact of papers produced by Ka 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 Ka Wu. The network helps show where Ka Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2013 | 92 | |
| 3 | 2020 | 70 | |
| 4 | 2019 | 57 | |
| 5 | 2020 | 56 | |
| 6 | 1979 | 51 | |
| 7 | 2019 | 48 | |
| 8 | 2020 | 44 | |
| 9 | 2018 | 43 | |
| 10 | 2019 | 38 | |
| 11 | 2015 | 27 | |
| 12 | 2017 | 21 | |
| 13 | Anticytoproliferative effect of Vitamin C on rat hepatic stellate cell. | 2016 | 21 |
| 14 | 2021 | 21 | |
| 15 | 2019 | 19 | |
| 16 | Characterization of acetaminophen-induced cytotoxicity in target tissues. | 2016 | 17 |
| 17 | 2021 | 16 | |
| 18 | Impact of perinatal exposure to acetaminophen on hepatocellular metabolic function in offspring. | 2016 | 13 |
| 19 | 2021 | 12 | |
| 20 | Clinical characterization for proliferation and metastasis in advanced hepatocellular carcinoma patients. | 2015 | 9 |
About Ka Wu
Ka Wu is a scholar working on Pharmacology, Molecular Biology, Hepatology, Epidemiology and Physiology, having authored 28 papers that have together received 797 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (6 papers), Liver physiology and pathology (4 papers), Vitamin C and Antioxidants Research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Computational Drug Discovery Methods (2 papers), Adipose Tissue and Metabolism (2 papers), Ginger and Zingiberaceae research (2 papers) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Pharmacology (160 citations), Complementary and alternative medicine (59 citations), Nutrition and Dietetics (103 citations), Pathology and Forensic Medicine (107 citations) and Biochemistry (32 citations). Ka Wu has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Rong Li, Chao Guo, Min Su, Xinmou Wu, Liang Xiao, Xiaoliu Liang, Xiaoying Huang, Yu Li, Tao Liang and Meizhen Liu. Their work appears in journals such as Aging, Journal of Cellular Biochemistry, Frontiers in Pharmacology, Food Science & Nutrition and Journal of Pharmacology and Experimental Therapeutics.
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.