Qun Chen
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Advanced biosensing and bioanalysis techniques
- RNA modifications and cancer
- Circular RNAs in diseases
- Mitochondrial Function and Pathology
Papers in
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- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 3
- Mitochondrial Function and Pathology 3
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 2
- Circular RNAs in diseases 2
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- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Edward J. Lesnefsky (5 shared papers)Da Xing (5 shared papers)Anindita Das (4 shared papers)Ying Hu (3 shared papers)Jeremy Thompson (2 shared papers)Shuguang Zhu (2 shared papers)Yunlong Li (2 shared papers)Rakesh C. Kukreja (2 shared papers)
- Journals
- Biosensors and Bioelectronics (2 papers)Scientific Reports (1 paper)Nitric Oxide (1 paper)Frontiers in Immunology (1 paper)Theranostics (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Qun Chen
34 papers receiving 936 citations
Peers
Comparison fields: 5 of 111
- Cancer Research 156
- Molecular Biology 601
- Cell Biology 85
- Molecular Medicine 24
- Biophysics 24
Countries citing papers authored by Qun Chen
This map shows the geographic impact of Qun 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 Qun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Chen more than expected).
Fields of papers citing papers by Qun Chen
This network shows the impact of papers produced by Qun 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 Qun Chen. The network helps show where Qun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Qun 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 88 | |
| 2 | 2011 | 74 | |
| 3 | 2017 | 73 | |
| 4 | 2010 | 58 | |
| 5 | 2003 | 56 | |
| 6 | 2022 | 54 | |
| 7 | 2004 | 53 | |
| 8 | 2021 | 50 | |
| 9 | 2019 | 43 | |
| 10 | 1995 | 40 | |
| 11 | 2012 | 36 | |
| 12 | 2015 | 34 | |
| 13 | 2004 | 34 | |
| 14 | 2012 | 33 | |
| 15 | 2004 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2019 | 28 | |
| 18 | 2007 | 26 | |
| 19 | 2018 | 24 | |
| 20 | 2014 | 16 |
About Qun Chen
Qun Chen is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Biomedical Engineering and Biophysics, having authored 34 papers that have together received 941 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (3 papers), Mitochondrial Function and Pathology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Cancer-related molecular mechanisms research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), CRISPR and Genetic Engineering (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (156 citations), Molecular Biology (601 citations), Cell Biology (85 citations), Molecular Medicine (24 citations) and Biophysics (24 citations). Qun Chen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Edward J. Lesnefsky, Da Xing, Anindita Das, Ying Hu, Jeremy Thompson, Shuguang Zhu, Yunlong Li, Rakesh C. Kukreja, Lei Xi and Wei R. Chen. Their work appears in journals such as Biosensors and Bioelectronics, Scientific Reports, Nitric Oxide, Frontiers in Immunology and Theranostics.
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.