K.M. Wu
Impact in
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- Complementary and Alternative Medicine Studies
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Cardiac electrophysiology and arrhythmias 8
- Cardiac Arrhythmias and Treatments 5
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Simeon E. Goldblum (2 shared papers)Michael Jay (1 shared paper)James G. Farrelly (5 shared papers)William R. Martin (6 shared papers)Hanan N. Ghantous (5 shared papers)Roy Upton (1 shared paper)Debra B. Birnkrant (4 shared papers)Jinhui Dou (3 shared papers)
- Journals
- Life Sciences (3 papers)American Journal of Therapeutics (2 papers)Pharmaceuticals (1 paper)Toxicology (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
K.M. Wu
29 papers receiving 830 citations
Peers
Comparison fields: 5 of 80
- Complementary and alternative medicine 107
- Immunology 97
- Cellular and Molecular Neuroscience 74
- Critical Care and Intensive Care Medicine 21
- Pharmacology 42
Countries citing papers authored by K.M. Wu
This map shows the geographic impact of K.M. 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 K.M. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.M. Wu more than expected).
Fields of papers citing papers by K.M. Wu
This network shows the impact of papers produced by K.M. 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 K.M. Wu. The network helps show where K.M. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside K.M. 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 323 | |
| 2 | 2008 | 83 | |
| 3 | 2006 | 81 | |
| 4 | 2009 | 65 | |
| 5 | 2008 | 40 | |
| 6 | 2006 | 36 | |
| 7 | 1978 | 34 | |
| 8 | 1983 | 34 | |
| 9 | 1987 | 28 | |
| 10 | 2009 | 23 | |
| 11 | 1983 | 22 | |
| 12 | 2004 | 20 | |
| 13 | 2007 | 20 | |
| 14 | 2000 | 16 | |
| 15 | 1983 | 15 | |
| 16 | 1982 | 11 | |
| 17 | 1989 | 10 | |
| 18 | 1989 | 10 | |
| 19 | 1989 | 8 | |
| 20 | 1990 | 7 |
About K.M. Wu
K.M. Wu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Small Animals and Cancer Research, having authored 30 papers that have together received 918 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Neuropeptides and Animal Physiology (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Complementary and Alternative Medicine Studies (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Phytochemistry Medicinal Plant Applications (3 papers), Animal testing and alternatives (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Complementary and alternative medicine (107 citations), Immunology (97 citations), Cellular and Molecular Neuroscience (74 citations), Critical Care and Intensive Care Medicine (21 citations) and Pharmacology (42 citations). K.M. Wu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Simeon E. Goldblum, Michael Jay, James G. Farrelly, William R. Martin, Hanan N. Ghantous, Roy Upton, Debra B. Birnkrant, Jinhui Dou, Brian Francis Hoffman and Susan R. Walker. Their work appears in journals such as Life Sciences, American Journal of Therapeutics, Pharmaceuticals, Toxicology and The FASEB Journal.
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.