Chen-Chung Liao
Impact in
- Geriatrics and Gerontology top 5%
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Metabolism, Diabetes, and Cancer 2
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- Adipose Tissue and Metabolism 5
- Co-authors
- Kin‐Fu Chak (7 shared papers)Hanna S. Yuan (3 shared papers)Tzu‐Ping Ko (1 shared paper)Chi‐Chang Huang (4 shared papers)Wen-Ching Huang (3 shared papers)Nai‐Wen Kan (1 shared paper)Yu‐Kai Chang (1 shared paper)Yu‐Tang Tung (5 shared papers)
In The Last Decade
Chen-Chung Liao
42 papers receiving 851 citations
Peers
Comparison fields: 5 of 103
- Geriatrics and Gerontology 45
- Rehabilitation 68
- Molecular Biology 444
- Physiology 136
- Endocrinology 25
Countries citing papers authored by Chen-Chung Liao
This map shows the geographic impact of Chen-Chung Liao'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 Chen-Chung Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Chung Liao more than expected).
Fields of papers citing papers by Chen-Chung Liao
This network shows the impact of papers produced by Chen-Chung Liao. 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 Chen-Chung Liao. The network helps show where Chen-Chung Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Chung Liao, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 164 | |
| 2 | 2013 | 115 | |
| 3 | 2013 | 61 | |
| 4 | 2014 | 40 | |
| 5 | 2014 | 30 | |
| 6 | 2015 | 26 | |
| 7 | 2013 | 26 | |
| 8 | 2006 | 24 | |
| 9 | 2016 | 23 | |
| 10 | 2001 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2015 | 21 | |
| 13 | 2016 | 20 | |
| 14 | 2012 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2012 | 18 | |
| 18 | 2013 | 18 | |
| 19 | 2017 | 18 | |
| 20 | 2015 | 18 |
About Chen-Chung Liao
Chen-Chung Liao is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Genetics, having authored 42 papers that have together received 865 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Bacterial Genetics and Biotechnology (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Peptidase Inhibition and Analysis (3 papers), Bat Biology and Ecology Studies (3 papers), Exercise and Physiological Responses (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (45 citations), Rehabilitation (68 citations), Molecular Biology (444 citations), Physiology (136 citations) and Endocrinology (25 citations). Chen-Chung Liao has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Kin‐Fu Chak, Hanna S. Yuan, Tzu‐Ping Ko, Chi‐Chang Huang, Wen-Ching Huang, Nai‐Wen Kan, Yu‐Kai Chang, Yu‐Tang Tung, Yi-Hsuan Pan and Ching‐Yu Lin. Their work appears in journals such as Journal of Proteomics, Journal of Agricultural and Food Chemistry, PLoS ONE, International Journal of Medical Sciences and Biochemical and Biophysical Research Communications.
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.