Yung‐Li Hung
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Muscle Physiology and Disorders 5
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- Muscle metabolism and nutrition 2
- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- Chia‐Yang Li (7 shared papers)Shih‐Hua Fang (6 shared papers)Shu‐Chi Wang (5 shared papers)Po‐Len Liu (5 shared papers)Wei‐Chung Cheng (4 shared papers)Chia‐Cheng Su (4 shared papers)Ming‐Yii Huang (3 shared papers)Katsuhiko Suzuki (3 shared papers)
- Journals
- Scientific Reports (2 papers)Cells (1 paper)The American Journal of Chinese Medicine (1 paper)Phytomedicine (1 paper)Evidence-based Complementary and Alternative Medicine (1 paper)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Yung‐Li Hung
15 papers receiving 426 citations
Peers
Comparison fields: 5 of 81
- Toxicology 35
- Neurology 36
- Pharmacology 34
- Rehabilitation 23
- Complementary and alternative medicine 27
Countries citing papers authored by Yung‐Li Hung
This map shows the geographic impact of Yung‐Li Hung'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 Yung‐Li Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung‐Li Hung more than expected).
Fields of papers citing papers by Yung‐Li Hung
This network shows the impact of papers produced by Yung‐Li Hung. 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 Yung‐Li Hung. The network helps show where Yung‐Li Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Yung‐Li Hung, 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 | 2017 | 132 | |
| 2 | 2018 | 74 | |
| 3 | 2018 | 67 | |
| 4 | 2017 | 41 | |
| 5 | 2018 | 38 | |
| 6 | 2019 | 16 | |
| 7 | 2015 | 15 | |
| 8 | 2022 | 9 | |
| 9 | 2011 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2025 | 0 |
About Yung‐Li Hung
Yung‐Li Hung is a scholar working on Molecular Biology, Cell Biology, Physiology, Surgery and Rehabilitation, having authored 16 papers that have together received 430 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Adipose Tissue and Metabolism (3 papers), Muscle metabolism and nutrition (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Exercise and Physiological Responses (2 papers). The work is most often cited by research in Toxicology (35 citations), Neurology (36 citations), Pharmacology (34 citations), Rehabilitation (23 citations) and Complementary and alternative medicine (27 citations). Yung‐Li Hung has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Chia‐Yang Li, Shih‐Hua Fang, Shu‐Chi Wang, Po‐Len Liu, Wei‐Chung Cheng, Chia‐Cheng Su, Ming‐Yii Huang, Katsuhiko Suzuki, Kuo‐Feng Hua and Kun-Hung Shen. Their work appears in journals such as Scientific Reports, Cells, The American Journal of Chinese Medicine, Phytomedicine and Evidence-based Complementary and Alternative Medicine.
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.