Ming-Hsien Yeh
Impact in
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- Traditional Chinese Medicine Studies
- Acupuncture Treatment Research Studies
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- Pharmacological Effects of Natural Compounds
Papers in
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- Traditional Chinese Medicine Studies 3
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- Phytochemical compounds biological activities 2
- Natural product bioactivities and synthesis 2
- Co-authors
- Chia-Chou Yeh (13 shared papers)Shung-Te Kao (4 shared papers)Yung-yu Huang (1 shared paper)Hung‐Rong Yen (2 shared papers)Mao-Feng Sun (2 shared papers)Te‐Mao Li (3 shared papers)Malcolm Koo (2 shared papers)Tung‐Ti Chang (1 shared paper)
- Journals
- Journal of Ethnopharmacology (3 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Toxicology Letters (2 papers)Complementary Therapies in Medicine (2 papers)Computer Methods and Programs in Biomedicine (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Ming-Hsien Yeh
16 papers receiving 429 citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 87
- Pharmacology 35
- Biochemistry 21
- Toxicology 11
- Pharmacology 35
Countries citing papers authored by Ming-Hsien Yeh
This map shows the geographic impact of Ming-Hsien Yeh'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 Ming-Hsien Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Hsien Yeh more than expected).
Fields of papers citing papers by Ming-Hsien Yeh
This network shows the impact of papers produced by Ming-Hsien Yeh. 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 Ming-Hsien Yeh. The network helps show where Ming-Hsien Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Hsien Yeh, 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 | 2010 | 77 | |
| 2 | 2008 | 59 | |
| 3 | 2017 | 51 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 32 | |
| 6 | 2010 | 29 | |
| 7 | 2009 | 24 | |
| 8 | 2006 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2009 | 18 | |
| 12 | 2020 | 14 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2023 | 6 | |
| 16 | 2012 | 2 |
About Ming-Hsien Yeh
Ming-Hsien Yeh is a scholar working on Complementary and alternative medicine, Molecular Biology, Pharmacology, Epidemiology and Orthopedics and Sports Medicine, having authored 16 papers that have together received 437 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (3 papers), Traditional Chinese Medicine Studies (3 papers), Virology and Viral Diseases (2 papers), Phytochemical compounds biological activities (2 papers), Bone health and osteoporosis research (2 papers), Advanced Chemical Sensor Technologies (2 papers), Natural product bioactivities and synthesis (2 papers) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Complementary and alternative medicine (87 citations), Pharmacology (35 citations), Biochemistry (21 citations), Toxicology (11 citations) and Pharmacology (35 citations). Ming-Hsien Yeh has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chia-Chou Yeh, Shung-Te Kao, Yung-yu Huang, Hung‐Rong Yen, Mao-Feng Sun, Te‐Mao Li, Malcolm Koo, Tung‐Ti Chang, Tzung‐Yi Tsai and Ching‐Mao Chang. Their work appears in journals such as Journal of Ethnopharmacology, Evidence-based Complementary and Alternative Medicine, Toxicology Letters, Complementary Therapies in Medicine and Computer Methods and Programs in Biomedicine.
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.