Jun‐An Chen
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
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- Neurogenesis and neuroplasticity mechanisms 7
- Co-authors
- Kuan‐Wei Chen (1 shared paper)Jiří Zavadil (1 shared paper)Esteban O. Mazzoni (1 shared paper)Hynek Wichterle (1 shared paper)Tai‐Heng Chen (2 shared papers)Yen‐Chung Chen (4 shared papers)Enrique Amaya (3 shared papers)Mike J. Gilchrist (2 shared papers)
- Journals
- eLife (4 papers)Nature Communications (3 papers)Journal of Biomedical Science (3 papers)Mechanisms of Development (2 papers)EMBO Reports (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jun‐An Chen
28 papers receiving 710 citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 136
- Cancer Research 171
- Genetics 59
- Neurology 89
- Molecular Biology 342
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 | 103 | |
| 2 | 2021 | 76 | |
| 3 | 2013 | 56 | |
| 4 | 2019 | 47 | |
| 5 | 2018 | 46 | |
| 6 | 2022 | 38 | |
| 7 | 2020 | 34 | |
| 8 | 2023 | 33 | |
| 9 | 2012 | 32 | |
| 10 | 2019 | 30 | |
| 11 | 2017 | 29 | |
| 12 | 2005 | 27 | |
| 13 | 2015 | 24 | |
| 14 | 2005 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2025 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2021 | 12 | |
| 19 | 2025 | 12 | |
| 20 | 2007 | 10 |
About Jun‐An Chen
Jun‐An Chen is a scholar working on Cancer Research, Developmental Neuroscience, Molecular Biology, Neurology and Genetics, having authored 28 papers that have together received 718 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (136 citations), Cancer Research (171 citations), Genetics (59 citations), Neurology (89 citations) and Molecular Biology (342 citations). Jun‐An Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuan‐Wei Chen, Jiří Zavadil, Esteban O. Mazzoni, Hynek Wichterle, Tai‐Heng Chen, Yen‐Chung Chen, Enrique Amaya, Mike J. Gilchrist, Nancy Papalopulu and Sebastian Thams. Their work appears in journals such as eLife, Nature Communications, Journal of Biomedical Science, Mechanisms of Development and EMBO Reports.
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.