Kun Sun
Impact in
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Epidemiology top 5%
- Congenital Heart Disease Studies
Papers in
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- Congenital heart defects research 45
- RNA modifications and cancer 7
- Epidemiology 55
- Congenital Heart Disease Studies 50
- Co-authors
- Weimin Chai (13 shared papers)Fen Li (28 shared papers)Caixia Fu (10 shared papers)Yuejuan Xu (17 shared papers)Ying Zhan (3 shared papers)Rang Xu (23 shared papers)Qihua Fu (16 shared papers)Xu Yan (3 shared papers)
- Journals
- PLoS ONE (5 papers)World Journal of Pediatrics (4 papers)Frontiers in Pediatrics (3 papers)Scientific Reports (3 papers)Colloid & Polymer Science (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Kun Sun
209 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 151
- Radiology, Nuclear Medicine and Imaging 389
- Epidemiology 474
- Biomaterials 162
- Cardiology and Cardiovascular Medicine 234
- Molecular Biology 778
Countries citing papers authored by Kun Sun
This map shows the geographic impact of Kun Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Sun more than expected).
Fields of papers citing papers by Kun Sun
This network shows the impact of papers produced by Kun Sun. 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 Sun. The network helps show where Kun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Sun, 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 225 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 198 | |
| 2 | 2012 | 91 | |
| 3 | 2010 | 82 | |
| 4 | 2005 | 81 | |
| 5 | 2021 | 78 | |
| 6 | 2012 | 71 | |
| 7 | 2011 | 59 | |
| 8 | 2018 | 57 | |
| 9 | 2021 | 51 | |
| 10 | 2015 | 42 | |
| 11 | 2016 | 40 | |
| 12 | 2013 | 39 | |
| 13 | 2021 | 38 | |
| 14 | miR-497 as a potential serum biomarker for the diagnosis and prognosis of osteosarcoma. | 2016 | 36 |
| 15 | 2023 | 33 | |
| 16 | 2021 | 32 | |
| 17 | 2019 | 30 | |
| 18 | 2020 | 29 | |
| 19 | 2018 | 29 | |
| 20 | 2019 | 29 |
About Kun Sun
Kun Sun is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine, having authored 225 papers that have together received 2.5k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (50 papers), Congenital heart defects research (45 papers), MRI in cancer diagnosis (11 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), RNA modifications and cancer (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Cardiovascular Issues in Pregnancy (6 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (389 citations), Epidemiology (474 citations), Biomaterials (162 citations), Cardiology and Cardiovascular Medicine (234 citations) and Molecular Biology (778 citations). Kun Sun has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Weimin Chai, Fen Li, Caixia Fu, Yuejuan Xu, Ying Zhan, Rang Xu, Qihua Fu, Xu Yan, Kunwei Shen and Xiaochun Fei. Their work appears in journals such as PLoS ONE, World Journal of Pediatrics, Frontiers in Pediatrics, Scientific Reports and Colloid & Polymer Science.
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.