Hung‐En Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Genomics, phytochemicals, and oxidative stress 10
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 3
- Co-authors
- Kuang‐Yu Chou (32 shared papers)Te‐Fu Tsai (32 shared papers)Yi‐Chia Lin (30 shared papers)Ji‐Fan Lin (29 shared papers)Thomas I‐Sheng Hwang (26 shared papers)Yi‐Hsuan Lin (3 shared papers)Po‐Chun Chen (5 shared papers)You‐Lin Tain (3 shared papers)
- Journals
- The Journal of Urology (6 papers)Drug Design Development and Therapy (3 papers)International Journal of Oncology (2 papers)Bioscience Reports (1 paper)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Hung‐En Chen
39 papers receiving 817 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 227
- Geriatrics and Gerontology 34
- Epidemiology 269
- Molecular Biology 513
- Physiology 32
Countries citing papers authored by Hung‐En Chen
This map shows the geographic impact of Hung‐En 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 Hung‐En Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung‐En Chen more than expected).
Fields of papers citing papers by Hung‐En Chen
This network shows the impact of papers produced by Hung‐En 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 Hung‐En Chen. The network helps show where Hung‐En Chen may publish in the future.
Co-authors
The 21 scholars most cited alongside Hung‐En 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2017 | 92 | |
| 3 | 2016 | 73 | |
| 4 | 2012 | 68 | |
| 5 | 2019 | 52 | |
| 6 | 2015 | 48 | |
| 7 | 2019 | 45 | |
| 8 | 2018 | 44 | |
| 9 | 2011 | 41 | |
| 10 | 2017 | 32 | |
| 11 | 2020 | 25 | |
| 12 | 2016 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2019 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2018 | 13 | |
| 19 | 2014 | 11 | |
| 20 | 2020 | 9 |
About Hung‐En Chen
Hung‐En Chen is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 39 papers that have together received 825 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Genomics, phytochemicals, and oxidative stress (10 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Circular RNAs in diseases (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Cancer Research (227 citations), Geriatrics and Gerontology (34 citations), Epidemiology (269 citations), Molecular Biology (513 citations) and Physiology (32 citations). Hung‐En Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuang‐Yu Chou, Te‐Fu Tsai, Yi‐Chia Lin, Ji‐Fan Lin, Thomas I‐Sheng Hwang, Yi‐Hsuan Lin, Po‐Chun Chen, You‐Lin Tain, Ching‐Chou Tsai and Li‐Tung Huang. Their work appears in journals such as The Journal of Urology, Drug Design Development and Therapy, International Journal of Oncology, Bioscience Reports and Scientific 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.