Bei Jun Chen
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
- Epigenetics and DNA Methylation
Papers in
-
- Circular RNAs in diseases 9
- RNA Research and Splicing 8
- RNA modifications and cancer 4
- RNA regulation and disease 3
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- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 9
- Co-authors
- Michael Janitz (21 shared papers)James D. Mills (12 shared papers)Glenda M. Halliday (3 shared papers)Frances L. Byrne (4 shared papers)Kyle L. Hoehn (4 shared papers)Susan C. Modesitt (3 shared papers)Ellen M. Olzomer (3 shared papers)Rhonda Farrell (3 shared papers)
- Journals
- Genomics (3 papers)Journal of Molecular Neuroscience (2 papers)Gynecologic Oncology (1 paper)Oncogene (1 paper)Oncotarget (1 paper)
- Partner nations
- AustraliaGermanyNetherlands
In The Last Decade
Bei Jun Chen
22 papers receiving 485 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 297
- Molecular Biology 385
- Developmental Neuroscience 15
- Neurology 21
- Cellular and Molecular Neuroscience 35
Countries citing papers authored by Bei Jun Chen
This map shows the geographic impact of Bei Jun 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 Bei Jun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Jun Chen more than expected).
Fields of papers citing papers by Bei Jun Chen
This network shows the impact of papers produced by Bei Jun 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 Bei Jun Chen. The network helps show where Bei Jun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Jun 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 72 | |
| 2 | 2018 | 53 | |
| 3 | 2017 | 50 | |
| 4 | 2017 | 48 | |
| 5 | 2013 | 41 | |
| 6 | 2019 | 34 | |
| 7 | 2016 | 29 | |
| 8 | 2015 | 27 | |
| 9 | 2020 | 18 | |
| 10 | 2016 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2022 | 5 |
About Bei Jun Chen
Bei Jun Chen is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Neurology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 488 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (9 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (4 papers), RNA regulation and disease (3 papers), Endometrial and Cervical Cancer Treatments (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cancer Research (297 citations), Molecular Biology (385 citations), Developmental Neuroscience (15 citations), Neurology (21 citations) and Cellular and Molecular Neuroscience (35 citations). Bei Jun Chen has collaborated with scholars based in Australia, Germany and Netherlands. Frequent co-authors include Michael Janitz, James D. Mills, Glenda M. Halliday, Frances L. Byrne, Kyle L. Hoehn, Susan C. Modesitt, Ellen M. Olzomer, Rhonda Farrell, Tomas Kavanagh and Woojin S. Kim. Their work appears in journals such as Genomics, Journal of Molecular Neuroscience, Gynecologic Oncology, Oncogene and Oncotarget.
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.