Shu-Jen Chen
- Cancer Research top 2%
- MicroRNA in disease regulation 4
- Cancer Genomics and Diagnostics 3
- Sensory Systems top 2%
- Ion Channels and Receptors 7
- Molecular Biology top 5%
- Connective Tissue Growth Factor Research 7
- TGF-β signaling in diseases 7
- Ion channel regulation and function 5
- Dermatology top 2%
- Hepatology top 5%
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- Immune Response and Inflammation 4
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- Viral Infections and Immunology Research 3
- Co-authors
- John VargaYasuji MoriWeihua YuanHua-Chien ChenMaria TrojanowskaAnait S. LevensonJohn P. LeonardMichael Hsiao
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (4 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shu-Jen Chen
59 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 943
- Sensory Systems 194
- Molecular Biology 2.1k
- Dermatology 227
- Hepatology 191
Countries citing papers authored by Shu-Jen Chen
This map shows the geographic impact of Shu-Jen 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 Shu-Jen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Jen Chen more than expected).
Fields of papers citing papers by Shu-Jen Chen
This network shows the impact of papers produced by Shu-Jen 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 Shu-Jen Chen. The network helps show where Shu-Jen Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu-Jen 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 | 24 | |
| 2 | 2014 | 41 | |
| 3 | 2014 | 12 | |
| 4 | 2014 | 28 | |
| 5 | 2013 | 15 | |
| 6 | 2012 | 5 | |
| 7 | MicroRNA-122 plays a critical role in liver homeostasis and hepatocarcinogenesisbreakdown → | 2012 | 670 |
| 8 | 2011 | 15 | |
| 9 | 2011 | 29 | |
| 10 | 2010 | 232 | |
| 11 | 2010 | 1 | |
| 12 | 2009 | 59 | |
| 13 | 2009 | 106 | |
| 14 | 2008 | 27 | |
| 15 | 2006 | 148 | |
| 16 | 2003 | 51 | |
| 17 | 2001 | 24 | |
| 18 | 2001 | 195 | |
| 19 | 1999 | 56 | |
| 20 | 1997 | 8 |
About Shu-Jen Chen
Shu-Jen Chen is a scholar working on Sensory Systems, Immunology and Allergy and Cancer Research, having authored 59 papers that have together received 4.0k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (7 papers), TGF-β signaling in diseases (7 papers), Ion Channels and Receptors (7 papers), Ion channel regulation and function (5 papers), MicroRNA in disease regulation (4 papers), Immune Response and Inflammation (4 papers), Cancer Genomics and Diagnostics (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Cancer Research (943 citations), Sensory Systems (194 citations) and Molecular Biology (2.1k citations). Shu-Jen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include John Varga, Yasuji Mori, Weihua Yuan, Hua-Chien Chen, Maria Trojanowska, John Varga, Anait S. Levenson, John P. Leonard, Michael Hsiao and Yi Huang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.