Pei‐Ying Pai
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- Chemotherapy-induced cardiotoxicity and mitigation
- Cardiovascular Function and Risk Factors
- Cardiac Fibrosis and Remodeling
Papers in
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- Mitochondrial Function and Pathology 7
- Signaling Pathways in Disease 5
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- Cardiac Fibrosis and Remodeling 5
- Chemotherapy-induced cardiotoxicity and mitigation 5
- Co-authors
- Chih‐Yang Huang (52 shared papers)Wei‐Wen Kuo (27 shared papers)Tsung‐Jung Ho (19 shared papers)Chia‐Hua Kuo (20 shared papers)Shyng‐Shiou F. Yuan (1 shared paper)Chi‐Hsun Hsieh (1 shared paper)Ya‐Ching Hsieh (1 shared paper)Vijaya Padma Viswanadha (9 shared papers)
In The Last Decade
Pei‐Ying Pai
68 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Geriatrics and Gerontology 87
- Cardiology and Cardiovascular Medicine 342
- Physiology 53
- Complementary and alternative medicine 89
- Cancer Research 147
Countries citing papers authored by Pei‐Ying Pai
This map shows the geographic impact of Pei‐Ying Pai'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 Pei‐Ying Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Ying Pai more than expected).
Fields of papers citing papers by Pei‐Ying Pai
This network shows the impact of papers produced by Pei‐Ying Pai. 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 Pei‐Ying Pai. The network helps show where Pei‐Ying Pai may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Ying Pai, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 157 | |
| 2 | 2011 | 102 | |
| 3 | 2014 | 81 | |
| 4 | 2014 | 64 | |
| 5 | 2014 | 62 | |
| 6 | 2015 | 61 | |
| 7 | 2018 | 55 | |
| 8 | 2016 | 50 | |
| 9 | 2017 | 50 | |
| 10 | 2016 | 49 | |
| 11 | 2017 | 46 | |
| 12 | 2015 | 42 | |
| 13 | 2016 | 41 | |
| 14 | 2019 | 40 | |
| 15 | 2014 | 37 | |
| 16 | 2015 | 36 | |
| 17 | 2017 | 36 | |
| 18 | 2019 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2018 | 28 |
About Pei‐Ying Pai
Pei‐Ying Pai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Pathology and Forensic Medicine and Epidemiology, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Sirtuins and Resveratrol in Medicine (6 papers), Adipose Tissue and Metabolism (5 papers), Signaling Pathways in Disease (5 papers), Cardiac Fibrosis and Remodeling (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Geriatrics and Gerontology (87 citations), Cardiology and Cardiovascular Medicine (342 citations), Physiology (53 citations), Complementary and alternative medicine (89 citations) and Cancer Research (147 citations). Pei‐Ying Pai has collaborated with scholars based in Taiwan, India and China. Frequent co-authors include Chih‐Yang Huang, Wei‐Wen Kuo, Tsung‐Jung Ho, Chia‐Hua Kuo, Shyng‐Shiou F. Yuan, Chi‐Hsun Hsieh, Ya‐Ching Hsieh, Vijaya Padma Viswanadha, Yu‐Lan Yeh and Wei-Wen Kuo. Their work appears in journals such as Environmental Toxicology, The American Journal of Chinese Medicine, International Journal of Cardiology, Molecular and Cellular Biochemistry and International Journal of Molecular Sciences.
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.