Kun‐Ta Yang
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Neuroscience of respiration and sleep
Papers in
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- Mitochondrial Function and Pathology 5
- Circular RNAs in diseases 3
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- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- Jianhong Lin (14 shared papers)Wen‐Sen Lee (10 shared papers)Jui-Chih Chang (5 shared papers)Chin‐Hung Liu (3 shared papers)Yu‐Cheng Hsu (2 shared papers)Hung‐Wen Chiu (4 shared papers)Huai-Ren Chang (2 shared papers)Jing‐Ren Jeng (2 shared papers)
- Journals
- The FASEB Journal (3 papers)European Journal of Pharmacology (2 papers)Cellular Physiology and Biochemistry (2 papers)Journal of Biomedical Science (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanIndiaUnited States
In The Last Decade
Kun‐Ta Yang
26 papers receiving 439 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 122
- Endocrine and Autonomic Systems 35
- Pulmonary and Respiratory Medicine 132
- Molecular Biology 223
- Complementary and alternative medicine 24
Countries citing papers authored by Kun‐Ta Yang
This map shows the geographic impact of Kun‐Ta Yang'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 Kun‐Ta Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun‐Ta Yang more than expected).
Fields of papers citing papers by Kun‐Ta Yang
This network shows the impact of papers produced by Kun‐Ta Yang. 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 Kun‐Ta Yang. The network helps show where Kun‐Ta Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun‐Ta Yang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 59 | |
| 2 | 2022 | 55 | |
| 3 | 2022 | 52 | |
| 4 | 2021 | 47 | |
| 5 | 2012 | 26 | |
| 6 | 2014 | 25 | |
| 7 | 2018 | 20 | |
| 8 | 2004 | 19 | |
| 9 | 2005 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2014 | 15 | |
| 12 | 2010 | 14 | |
| 13 | 2001 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2011 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2021 | 4 |
About Kun‐Ta Yang
Kun‐Ta Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 443 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (6 papers), Ferroptosis and cancer prognosis (5 papers), Mitochondrial Function and Pathology (5 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac Arrest and Resuscitation (3 papers). The work is most often cited by research in Cancer Research (122 citations), Endocrine and Autonomic Systems (35 citations), Pulmonary and Respiratory Medicine (132 citations), Molecular Biology (223 citations) and Complementary and alternative medicine (24 citations). Kun‐Ta Yang has collaborated with scholars based in Taiwan, India and United States. Frequent co-authors include Jianhong Lin, Wen‐Sen Lee, Jui-Chih Chang, Chin‐Hung Liu, Yu‐Cheng Hsu, Hung‐Wen Chiu, Huai-Ren Chang, Jing‐Ren Jeng, Yi‐Chung Pan and Sheng‐Chun Chiu. Their work appears in journals such as The FASEB Journal, European Journal of Pharmacology, Cellular Physiology and Biochemistry, Journal of Biomedical Science and Scientific Reports.
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.