Shun Ke
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Ginseng Biological Effects and Applications
Papers in
-
- Circular RNAs in diseases 4
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Kruppel-like factors research 1
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Minghao Fang (6 shared papers)Ruichao Li (5 shared papers)Fankai Meng (3 shared papers)Jun Lü (2 shared papers)Zhigang He (1 shared paper)Xiaojing Zou (1 shared paper)Weihong Zheng (2 shared papers)Zhi Zhu (2 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Journal of Translational Medicine (1 paper)Aging (1 paper)Telemedicine Journal and e-Health (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- China
In The Last Decade
Shun Ke
10 papers receiving 384 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 265
- Molecular Biology 307
- Hematology 14
- Pathology and Forensic Medicine 19
- Immunology 20
Countries citing papers authored by Shun Ke
This map shows the geographic impact of Shun Ke'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 Shun Ke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun Ke more than expected).
Fields of papers citing papers by Shun Ke
This network shows the impact of papers produced by Shun Ke. 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 Shun Ke. The network helps show where Shun Ke may publish in the future.
Co-authors
The 25 scholars most cited alongside Shun Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 167 | |
| 2 | 2013 | 48 | |
| 3 | 2018 | 38 | |
| 4 | 2017 | 35 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 24 | |
| 7 | 2021 | 17 | |
| 8 | Let-7f and miRNA-126 correlate with reduced cardiotoxicity risk in triple-negative breast cancer patients who underwent neoadjuvant chemotherapy. | 2018 | 17 |
| 9 | 2022 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2025 | 0 |
About Shun Ke
Shun Ke is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Infectious Diseases and Surgery, having authored 11 papers that have together received 385 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers), Long-Term Effects of COVID-19 (1 paper), Kruppel-like factors research (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Cancer Research (265 citations), Molecular Biology (307 citations), Hematology (14 citations), Pathology and Forensic Medicine (19 citations) and Immunology (20 citations). Shun Ke has collaborated with scholars based in China. Frequent co-authors include Minghao Fang, Ruichao Li, Fankai Meng, Jun Lü, Zhigang He, Xiaojing Zou, Weihong Zheng, Zhi Zhu, Yue Zhou and Jun Liu. Their work appears in journals such as Journal of Lipid Research, Journal of Translational Medicine, Aging, Telemedicine Journal and e-Health and Cell Death and Disease.
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.