Kun Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 8
- Optical Imaging and Spectroscopy Techniques 4
- Monoclonal and Polyclonal Antibodies Research 2
- Cardiac Imaging and Diagnostics 2
- Co-authors
- Bailing Li (1 shared paper)Lin Han (1 shared paper)Shuhang Wang (5 shared papers)Peiwen Ma (3 shared papers)Zicheng Yu (2 shared papers)Shujun Xing (2 shared papers)Ning Li (2 shared papers)Zhongzheng Cao (1 shared paper)
- Journals
- Drug Discovery Today (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Biomaterials Research (2 papers)Frontiers in Oncology (2 papers)Environmental Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Chen
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Cancer Research 264
- Oncology 228
- Radiology, Nuclear Medicine and Imaging 178
- Immunology 165
- Molecular Biology 427
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-authors
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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 154 | |
| 2 | 2014 | 95 | |
| 3 | 2011 | 77 | |
| 4 | 2011 | 70 | |
| 5 | 2018 | 66 | |
| 6 | 2021 | 61 | |
| 7 | 2023 | 42 | |
| 8 | 2020 | 38 | |
| 9 | 2022 | 34 | |
| 10 | 2019 | 32 | |
| 11 | 2000 | 32 | |
| 12 | 2021 | 31 | |
| 13 | 2020 | 28 | |
| 14 | 2019 | 26 | |
| 15 | 2020 | 25 | |
| 16 | 2024 | 25 | |
| 17 | 2014 | 23 | |
| 18 | 2022 | 20 | |
| 19 | 2019 | 18 | |
| 20 | 2010 | 17 |
About Kun Chen
Kun Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Cancer Research and Biomedical Engineering, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), CAR-T cell therapy research (5 papers), MicroRNA in disease regulation (5 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Cancer-related molecular mechanisms research (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (264 citations), Oncology (228 citations), Radiology, Nuclear Medicine and Imaging (178 citations), Immunology (165 citations) and Molecular Biology (427 citations). Kun Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bailing Li, Lin Han, Shuhang Wang, Peiwen Ma, Zicheng Yu, Shujun Xing, Ning Li, Zhongzheng Cao, Wengui Xu and Jingwei Sun. Their work appears in journals such as Drug Discovery Today, Oxidative Medicine and Cellular Longevity, Biomaterials Research, Frontiers in Oncology and Environmental Toxicology.
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.