Chia‐Yi Su
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
-
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 2
- Protease and Inhibitor Mechanisms 1
-
- Head and Neck Cancer Studies 4
- 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‐Shyang Huang (8 shared papers)Chi‐Long Chen (8 shared papers)Wei‐Min Chang (7 shared papers)Yi‐Hua Jan (9 shared papers)
- Journals
- Scientific Reports (5 papers)Oncotarget (4 papers)Advanced Functional Materials (2 papers)The FASEB Journal (2 papers)American Journal of Respiratory and Critical Care Medicine (2 papers)
- Partner nations
- TaiwanUnited StatesSouth Korea
In The Last Decade
Chia‐Yi Su
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 58
- Cancer Research 259
- Otorhinolaryngology 38
- Cell Biology 58
- Oncology 100
- Molecular Biology 169
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2014 | 96 | |
| 3 | 2019 | 76 | |
| 4 | 2014 | 63 | |
| 5 | 2014 | 61 | |
| 6 | 2017 | 59 | |
| 7 | 2015 | 55 | |
| 8 | 2014 | 50 | |
| 9 | 2015 | 48 | |
| 10 | 2019 | 48 | |
| 11 | 2017 | 45 | |
| 12 | 2016 | 44 | |
| 13 | 2015 | 43 | |
| 14 | 2017 | 41 | |
| 15 | 2016 | 40 | |
| 16 | 2016 | 38 | |
| 17 | 2015 | 36 | |
| 18 | 2020 | 35 | |
| 19 | 2008 | 31 | |
| 20 | 2021 | 30 |
About Chia‐Yi Su
Chia‐Yi Su is a scholar working on Cancer Research, Otorhinolaryngology, Cell Biology, Oncology and Molecular Biology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cellular Mechanics and Interactions (4 papers), Head and Neck Cancer Studies (4 papers), MicroRNA in disease regulation (2 papers), Lung Cancer Research Studies (2 papers), 3D Printing in Biomedical Research (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Cancer Research (259 citations), Otorhinolaryngology (38 citations), Cell Biology (58 citations), Oncology (100 citations) and Molecular Biology (169 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‐Shyang Huang, Chi‐Long Chen, Wei‐Min Chang, Yi‐Hua Jan, Yu‐Peng Liu and Tsung‐Ching Lai. Their work appears in journals such as Scientific Reports, Oncotarget, Advanced Functional Materials, The FASEB Journal and American Journal of Respiratory and Critical Care Medicine.
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.