Kun Chen
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 6
- Oncology top 10%
- CAR-T cell therapy research 5
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 5
- Monoclonal and Polyclonal Antibodies Research 4
- Optical Imaging and Spectroscopy Techniques 4
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- Advanced X-ray and CT Imaging 3
- Co-authors
- Lin HanBailing LiShuhang WangR. P. GallagherPeiwen MaShu ZhangRalph S. PaffenbargerZhao-Rong Lun
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- JNCI Journal of the National Cancer Institute (1 paper)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Chen
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Cancer Research 320
- Oncology 397
- Immunology 197
- Radiology, Nuclear Medicine and Imaging 194
- Molecular Biology 527
Countries citing papers authored by Kun Chen
This map shows the geographic impact of Kun Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Chen more than expected).
Fields of papers citing papers by Kun Chen
This network shows the impact of papers produced by Kun Chen. 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 Chen. The network helps show where Kun Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Chen, 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 | 2024 | 16 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 20 | |
| 10 | 2020 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 3 | |
| 14 | 2017 | 9 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 95 | |
| 17 | 2011 | 77 | |
| 18 | 2010 | 16 | |
| 19 | [Study on the risk factors of injuries among children at school age, from the families of migrant workers in Hangzhou city]. | 2009 | 5 |
| 20 | 2000 | 32 |
About Kun Chen
Kun Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Cancer Research, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), MicroRNA in disease regulation (6 papers), Medical Imaging Techniques and Applications (5 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Optical Imaging and Spectroscopy Techniques (4 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Cancer Research (320 citations), Oncology (397 citations) and Immunology (197 citations). Kun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Han, Bailing Li, Shuhang Wang, R. P. Gallagher, Peiwen Ma, Shu Zhang, Ralph S. Paffenbarger, Zhao-Rong Lun, Mark Lee and Alice S. Whittemore. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Scientific Reports and Clinical 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.