Chen-Yun Chen
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
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- Renal and related cancers 3
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Patrick C.H. Hsieh (7 shared papers)Timothy J. Kamp (3 shared papers)Tien Hsu (3 shared papers)Shu‐Chian Ruan (2 shared papers)Christopher Yen (2 shared papers)Jianhua Zhang (1 shared paper)Jen-Hao Lin (1 shared paper)Po‐Ju Lin (1 shared paper)
- Journals
- EBioMedicine (2 papers)Cancer Research (2 papers)Stem Cells (1 paper)Scientific Reports (1 paper)Non-coding RNA Research (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chen-Yun Chen
10 papers receiving 254 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 94
- Molecular Biology 184
- Cardiology and Cardiovascular Medicine 37
- Immunology 26
- Aging 2
Countries citing papers authored by Chen-Yun Chen
This map shows the geographic impact of Chen-Yun 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 Chen-Yun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yun Chen more than expected).
Fields of papers citing papers by Chen-Yun Chen
This network shows the impact of papers produced by Chen-Yun 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 Chen-Yun Chen. The network helps show where Chen-Yun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Yun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 60 | |
| 2 | 2019 | 34 | |
| 3 | 2015 | 29 | |
| 4 | 2005 | 26 | |
| 5 | 2016 | 24 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2019 | 13 |
About Chen-Yun Chen
Chen-Yun Chen is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Immunology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 256 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Renal and related cancers (3 papers), Phagocytosis and Immune Regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), Circular RNAs in diseases (2 papers) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cancer Research (94 citations), Molecular Biology (184 citations), Cardiology and Cardiovascular Medicine (37 citations), Immunology (26 citations) and Aging (2 citations). Chen-Yun Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Patrick C.H. Hsieh, Timothy J. Kamp, Tien Hsu, Shu‐Chian Ruan, Christopher Yen, Jianhua Zhang, Jen-Hao Lin, Po‐Ju Lin, Yuan‐Yuan Cheng and A‐Min Huang. Their work appears in journals such as EBioMedicine, Cancer Research, Stem Cells, Scientific Reports and Non-coding RNA Research.
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.