Chia‐Yi Su
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Circular RNAs in diseases
Papers in
- Oncology 17
- Cancer Cells and Metastasis 6
- Cancer-related Molecular Pathways 5
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- Cancer, Hypoxia, and Metabolism 6
- Co-authors
- Michael Hsiao (26 shared papers)Yu‐Chan Chang (14 shared papers)Yuan‐Feng Lin (14 shared papers)Chih‐Jen Yang (10 shared papers)Ming-Shyan Huang (7 shared papers)Chi‐Long Chen (8 shared papers)Wei‐Min Chang (7 shared papers)Yu‐Peng Liu (7 shared papers)
- Journals
- Scientific Reports (6 papers)Oncotarget (4 papers)American Journal of Respiratory and Critical Care Medicine (2 papers)Advanced Functional Materials (2 papers)Cancer Research (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Chia‐Yi Su
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 431
- Molecular Biology 747
- Oncology 241
- Cell Biology 118
- Immunology 94
Countries citing papers authored by Chia‐Yi Su
This map shows the geographic impact of Chia‐Yi Su'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 Chia‐Yi Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Yi Su more than expected).
Fields of papers citing papers by Chia‐Yi Su
This network shows the impact of papers produced by Chia‐Yi Su. 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 Chia‐Yi Su. The network helps show where Chia‐Yi Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Yi Su, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2014 | 95 | |
| 3 | 2019 | 76 | |
| 4 | 2014 | 63 | |
| 5 | 2014 | 61 | |
| 6 | 2017 | 59 | |
| 7 | 2015 | 55 | |
| 8 | 2014 | 50 | |
| 9 | 2015 | 48 | |
| 10 | 2019 | 47 | |
| 11 | 2017 | 45 | |
| 12 | 2016 | 44 | |
| 13 | 2015 | 42 | |
| 14 | 2017 | 40 | |
| 15 | 2016 | 40 | |
| 16 | 2016 | 37 | |
| 17 | 2015 | 36 | |
| 18 | 2020 | 34 | |
| 19 | 2008 | 30 | |
| 20 | 2021 | 30 |
About Chia‐Yi Su
Chia‐Yi Su is a scholar working on Oncology, Cancer Research, Molecular Biology, Cell Biology and Genetics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Cancer Cells and Metastasis (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), 3D Printing in Biomedical Research (6 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (4 papers), Microfluidic and Bio-sensing Technologies (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (431 citations), Molecular Biology (747 citations), Oncology (241 citations), Cell Biology (118 citations) and Immunology (94 citations). Chia‐Yi Su has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Michael Hsiao, Yu‐Chan Chang, Yuan‐Feng Lin, Chih‐Jen Yang, Ming-Shyan Huang, Chi‐Long Chen, Wei‐Min Chang, Yu‐Peng Liu, Yi‐Hua Jan and Tsung‐Ching Lai. Their work appears in journals such as Scientific Reports, Oncotarget, American Journal of Respiratory and Critical Care Medicine, Advanced Functional Materials and Cancer Research.
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.