Li-Hsin Chen
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 2
- Coenzyme Q10 studies and effects 1
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- Autophagy in Disease and Therapy 4
- Co-authors
- Guang‐Yuh Chiou (3 shared papers)Shih‐Hwa Chiou (5 shared papers)Yi‐Wei Chen (3 shared papers)Shih-Hwa Chiou (5 shared papers)Hsin‐Chen Lee (4 shared papers)Hsin-Yang Li (1 shared paper)Chin‐Wen Chi (4 shared papers)Yu‐Chih Chen (3 shared papers)
- Journals
- Biochemical Pharmacology (1 paper)Journal of Atherosclerosis and Thrombosis (1 paper)International Journal of Environmental Research and Public Health (1 paper)Applied Sciences (1 paper)Cell Transplantation (1 paper)
- Partner nations
- TaiwanUnited StatesCzechia
In The Last Decade
Li-Hsin Chen
13 papers receiving 476 citations
Peers
Comparison fields: 5 of 88
- Aging 15
- Cancer Research 98
- Geriatrics and Gerontology 19
- Molecular Biology 274
- Biochemistry 21
Countries citing papers authored by Li-Hsin Chen
This map shows the geographic impact of Li-Hsin Chen'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 Li-Hsin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Hsin Chen more than expected).
Fields of papers citing papers by Li-Hsin Chen
This network shows the impact of papers produced by Li-Hsin Chen. 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 Li-Hsin Chen. The network helps show where Li-Hsin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Hsin Chen, 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 | 2011 | 117 | |
| 2 | 2010 | 98 | |
| 3 | 2011 | 44 | |
| 4 | 2010 | 44 | |
| 5 | 2007 | 38 | |
| 6 | 2012 | 36 | |
| 7 | 2010 | 20 | |
| 8 | 2011 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2011 | 18 | |
| 11 | 2019 | 16 | |
| 12 | 2013 | 10 | |
| 13 | 2011 | 7 |
About Li-Hsin Chen
Li-Hsin Chen is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Physiology and Pathology and Forensic Medicine, having authored 13 papers that have together received 487 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Cancer Mechanisms and Therapy (1 paper), Coenzyme Q10 studies and effects (1 paper), Sirtuins and Resveratrol in Medicine (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Aging (15 citations), Cancer Research (98 citations), Geriatrics and Gerontology (19 citations), Molecular Biology (274 citations) and Biochemistry (21 citations). Li-Hsin Chen has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Guang‐Yuh Chiou, Shih‐Hwa Chiou, Yi‐Wei Chen, Shih-Hwa Chiou, Hsin‐Chen Lee, Hsin-Yang Li, Chin‐Wen Chi, Yu‐Chih Chen, Chung-Lan Kao and Yi-Ping Yang. Their work appears in journals such as Biochemical Pharmacology, Journal of Atherosclerosis and Thrombosis, International Journal of Environmental Research and Public Health, Applied Sciences and Cell Transplantation.
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.