Kun Chen
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
-
- Circular RNAs in diseases 3
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- Jun Li (6 shared papers)Libing Song (4 shared papers)Chunping Yu (2 shared papers)Mingjuan Jin (2 shared papers)Chunfeng Qu (3 shared papers)Jìng Guo (1 shared paper)Mingwu Zhang (1 shared paper)Michael T. Colvin (1 shared paper)
- Journals
- PLoS ONE (3 papers)Biochemical and Biophysical Research Communications (3 papers)Clinical Cancer Research (2 papers)Cancer Letters (1 paper)Journal of Photochemistry and Photobiology B Biology (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Kun Chen
58 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 383
- Pathology and Forensic Medicine 178
- Molecular Biology 637
- Oncology 199
- Immunology 155
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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 175 | |
| 2 | 2010 | 137 | |
| 3 | 2012 | 128 | |
| 4 | 2010 | 118 | |
| 5 | 2012 | 97 | |
| 6 | 2013 | 78 | |
| 7 | 2021 | 76 | |
| 8 | 2018 | 68 | |
| 9 | 2012 | 63 | |
| 10 | 2020 | 58 | |
| 11 | 2018 | 57 | |
| 12 | 2013 | 38 | |
| 13 | 2023 | 35 | |
| 14 | 2019 | 31 | |
| 15 | 2018 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2014 | 24 | |
| 18 | 2012 | 21 | |
| 19 | 2010 | 19 | |
| 20 | 2016 | 17 |
About Kun Chen
Kun Chen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Dermatology and Hepatology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Hepatitis B Virus Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Hepatitis C virus research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Circular RNAs in diseases (3 papers), RNA modifications and cancer (3 papers) and Dermatologic Treatments and Research (2 papers). The work is most often cited by research in Cancer Research (383 citations), Pathology and Forensic Medicine (178 citations), Molecular Biology (637 citations), Oncology (199 citations) and Immunology (155 citations). Kun Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jun Li, Libing Song, Chunping Yu, Mingjuan Jin, Chunfeng Qu, Jìng Guo, Mingwu Zhang, Michael T. Colvin, Mengya Zang and Gemma C. Solomon. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Clinical Cancer Research, Cancer Letters and Journal of Photochemistry and Photobiology B Biology.
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.