Ming-Fu Wang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Aging top 5%
Papers in
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- Gut microbiota and health 5
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- Cardiovascular and exercise physiology 5
- Co-authors
- Chi‐Chang Huang (5 shared papers)Yin‐Ching Chan (10 shared papers)Fu‐Chou Cheng (9 shared papers)Yi‐Ming Chen (2 shared papers)Yi-Ju Hsu (1 shared paper)Wei Li (1 shared paper)Tsung‐Yu Tsai (1 shared paper)Yen‐Shuo Chiu (1 shared paper)
- Journals
- Nutrients (5 papers)Molecules (3 papers)The American Journal of Chinese Medicine (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Ming-Fu Wang
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Biological Psychiatry 64
- Aging 40
- Rehabilitation 132
- Aquatic Science 122
- Complementary and alternative medicine 115
Countries citing papers authored by Ming-Fu Wang
This map shows the geographic impact of Ming-Fu Wang'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-Fu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Fu Wang more than expected).
Fields of papers citing papers by Ming-Fu Wang
This network shows the impact of papers produced by Ming-Fu Wang. 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-Fu Wang. The network helps show where Ming-Fu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Fu Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 222 | |
| 2 | 2019 | 91 | |
| 3 | 2012 | 89 | |
| 4 | 2018 | 69 | |
| 5 | 2021 | 50 | |
| 6 | 2011 | 50 | |
| 7 | 1997 | 48 | |
| 8 | 2021 | 41 | |
| 9 | 2014 | 39 | |
| 10 | 2002 | 39 | |
| 11 | 2013 | 38 | |
| 12 | 1995 | 38 | |
| 13 | 2003 | 31 | |
| 14 | 2009 | 30 | |
| 15 | 2006 | 29 | |
| 16 | 2000 | 28 | |
| 17 | 2010 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2021 | 24 | |
| 20 | 1999 | 24 |
About Ming-Fu Wang
Ming-Fu Wang is a scholar working on Molecular Biology, Complementary and alternative medicine, Physiology, Rehabilitation and Nutrition and Dietetics, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Muscle metabolism and nutrition (5 papers), Gut microbiota and health (5 papers), Cardiovascular and exercise physiology (5 papers), Biochemical effects in animals (4 papers), Adipose Tissue and Metabolism (4 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Aging (40 citations), Rehabilitation (132 citations), Aquatic Science (122 citations) and Complementary and alternative medicine (115 citations). Ming-Fu Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chi‐Chang Huang, Yin‐Ching Chan, Fu‐Chou Cheng, Yi‐Ming Chen, Yi-Ju Hsu, Wei Li, Tsung‐Yu Tsai, Yen‐Shuo Chiu, Shigeru Yamamoto and Shu-Ying Chung. Their work appears in journals such as Nutrients, Molecules, The American Journal of Chinese Medicine, Evidence-based Complementary and Alternative Medicine and International Journal of Biological Macromolecules.
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.