Jun‐An Chen
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- RNA Research and Splicing 9
- RNA modifications and cancer 6
- Developmental Biology and Gene Regulation 5
- Epigenetics and DNA Methylation 2
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 7
- Co-authors
- Hynek Wichterle (1 shared paper)Jiří Zavadil (1 shared paper)Esteban O. Mazzoni (1 shared paper)Tai‐Heng Chen (2 shared papers)Kuan‐Wei Chen (1 shared paper)Yen‐Chung Chen (4 shared papers)Enrique Amaya (3 shared papers)Nancy Papalopulu (2 shared papers)
- Journals
- eLife (4 papers)Nature Communications (3 papers)Journal of Biomedical Science (3 papers)EMBO Reports (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Jun‐An Chen
27 papers receiving 627 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 256
- Developmental Neuroscience 66
- Genetics 105
- Aging 14
- Molecular Biology 526
Countries citing papers authored by Jun‐An Chen
This map shows the geographic impact of Jun‐An 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 Jun‐An Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐An Chen more than expected).
Fields of papers citing papers by Jun‐An Chen
This network shows the impact of papers produced by Jun‐An 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 Jun‐An Chen. The network helps show where Jun‐An Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐An 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 100 | |
| 2 | 2021 | 63 | |
| 3 | 2013 | 53 | |
| 4 | 2018 | 43 | |
| 5 | 2019 | 42 | |
| 6 | 2022 | 31 | |
| 7 | 2012 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2019 | 29 | |
| 10 | 2017 | 27 | |
| 11 | 2005 | 26 | |
| 12 | 2005 | 24 | |
| 13 | 2023 | 24 | |
| 14 | 2021 | 22 | |
| 15 | 2015 | 22 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 11 | |
| 18 | 2007 | 10 | |
| 19 | 2017 | 6 | |
| 20 | 2025 | 5 |
About Jun‐An Chen
Jun‐An Chen is a scholar working on Molecular Biology, Cancer Research, Developmental Neuroscience, Genetics and Cell Biology, having authored 28 papers that have together received 629 indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Developmental Biology and Gene Regulation (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (256 citations), Developmental Neuroscience (66 citations), Genetics (105 citations), Aging (14 citations) and Molecular Biology (526 citations). Jun‐An Chen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Hynek Wichterle, Jiří Zavadil, Esteban O. Mazzoni, Tai‐Heng Chen, Kuan‐Wei Chen, Yen‐Chung Chen, Enrique Amaya, Nancy Papalopulu, Mike Gilchrist and Ying-Tsen Tung. Their work appears in journals such as eLife, Nature Communications, Journal of Biomedical Science, EMBO Reports and Journal of Visualized Experiments.
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.