Ching‐Ying Kuo
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
Papers in
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- DNA Repair Mechanisms 8
- RNA modifications and cancer 3
- Mitochondrial Function and Pathology 3
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Oncology 12
- Cancer-related Molecular Pathways 5
- Inflammatory Biomarkers in Disease Prognosis 2
- Co-authors
- David K. Ann (11 shared papers)Jeremy M. Stark (2 shared papers)Hui‐Chun Wang (12 shared papers)Chun-Ting Cheng (4 shared papers)Yiyin Chung (4 shared papers)Hsiu-Ming Shih (3 shared papers)Hsiu‐Ming Shih (1 shared paper)Fang‐Rong Chang (5 shared papers)
- Journals
- Cancer Research (3 papers)Oncotarget (2 papers)Phytomedicine (2 papers)Molecular and Cellular Biology (1 paper)Blood (1 paper)
- Partner nations
- TaiwanUnited StatesHungary
In The Last Decade
Ching‐Ying Kuo
31 papers receiving 683 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 208
- Molecular Biology 471
- Oncology 129
- Toxicology 13
- Complementary and alternative medicine 26
Countries citing papers authored by Ching‐Ying Kuo
This map shows the geographic impact of Ching‐Ying Kuo'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 Ching‐Ying Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Ying Kuo more than expected).
Fields of papers citing papers by Ching‐Ying Kuo
This network shows the impact of papers produced by Ching‐Ying Kuo. 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 Ching‐Ying Kuo. The network helps show where Ching‐Ying Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Ying Kuo, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2013 | 76 | |
| 3 | 2016 | 54 | |
| 4 | 2011 | 43 | |
| 5 | 2014 | 37 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 33 | |
| 8 | 2014 | 32 | |
| 9 | 2023 | 30 | |
| 10 | 2019 | 28 | |
| 11 | 2016 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2011 | 19 | |
| 14 | 2013 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2015 | 12 |
About Ching‐Ying Kuo
Ching‐Ying Kuo is a scholar working on Molecular Biology, Oncology, Cancer Research, Organic Chemistry and Pharmacology, having authored 33 papers that have together received 688 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), RNA modifications and cancer (3 papers), Mitochondrial Function and Pathology (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Cancer Research (208 citations), Molecular Biology (471 citations), Oncology (129 citations), Toxicology (13 citations) and Complementary and alternative medicine (26 citations). Ching‐Ying Kuo has collaborated with scholars based in Taiwan, United States and Hungary. Frequent co-authors include David K. Ann, Jeremy M. Stark, Hui‐Chun Wang, Chun-Ting Cheng, Yiyin Chung, Hsiu-Ming Shih, Hsiu‐Ming Shih, Fang‐Rong Chang, Chin‐Chung Wu and Hsing-Jien Kung. Their work appears in journals such as Cancer Research, Oncotarget, Phytomedicine, Molecular and Cellular Biology and Blood.
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.