Kun Chen
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- Circular RNAs in diseases
Papers in
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- Bone Metabolism and Diseases 15
- Advanced biosensing and bioanalysis techniques 8
- RNA modifications and cancer 7
- RNA Research and Splicing 5
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- Cancer-related molecular mechanisms research 17
- NF-κB Signaling Pathways 7
- MicroRNA in disease regulation 7
- Co-authors
- Peng Wang (4 shared papers)Yalei Zhang (4 shared papers)Ling Qian (3 shared papers)Yan Zhang (1 shared paper)Michael J. Morgan (1 shared paper)Zheng-gang Liu (1 shared paper)Swati Choksi (1 shared paper)Peter H. Yu (1 shared paper)
- Journals
- Frontiers in Pharmacology (7 papers)Aging (4 papers)Bioscience Reports (4 papers)Biomedicine & Pharmacotherapy (3 papers)Nature Communications (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Chen
182 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 162
- Cancer Research 616
- Molecular Biology 1.6k
- Immunology 455
- Neurology 163
- Rheumatology 206
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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 282 | |
| 2 | 2012 | 242 | |
| 3 | 2016 | 191 | |
| 4 | 2021 | 145 | |
| 5 | 2006 | 113 | |
| 6 | 2005 | 111 | |
| 7 | 2018 | 102 | |
| 8 | 2016 | 97 | |
| 9 | 2021 | 76 | |
| 10 | 2021 | 74 | |
| 11 | 2022 | 72 | |
| 12 | Effect of scopoletin on PC3 cell proliferation and apoptosis. | 2001 | 69 |
| 13 | 2023 | 64 | |
| 14 | 2017 | 58 | |
| 15 | 2018 | 57 | |
| 16 | 2022 | 55 | |
| 17 | 2019 | 55 | |
| 18 | 2021 | 54 | |
| 19 | 2022 | 53 | |
| 20 | 2015 | 51 |
About Kun Chen
Kun Chen is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Genetics and Epidemiology, having authored 190 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (17 papers), Bone Metabolism and Diseases (15 papers), Advanced biosensing and bioanalysis techniques (8 papers), NF-κB Signaling Pathways (7 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (616 citations), Molecular Biology (1.6k citations), Immunology (455 citations), Neurology (163 citations) and Rheumatology (206 citations). Kun Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Peng Wang, Yalei Zhang, Ling Qian, Yan Zhang, Michael J. Morgan, Zheng-gang Liu, Swati Choksi, Peter H. Yu, Jason Maley and Xuetao Cao. Their work appears in journals such as Frontiers in Pharmacology, Aging, Bioscience Reports, Biomedicine & Pharmacotherapy and Nature Communications.
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.