Shu‐Jen Chen
Impact in
-
- Multi-Criteria Decision Making
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 7
- Oncology 30
- Colorectal Cancer Treatments and Studies 7
- Co-authors
- Ching-Lai Hwang (1 shared paper)James M. Wilson (18 shared papers)Hua‐Chien Chen (29 shared papers)Teh‐Liang Chen (6 shared papers)John Varga (3 shared papers)Yasuji Mori (2 shared papers)Yu‐Sun Chang (8 shared papers)Ruey‐Chi Wang (8 shared papers)
- Journals
- Oncotarget (8 papers)Human Gene Therapy (6 papers)Journal of Neurochemistry (4 papers)Nanotechnology (3 papers)Human Gene Therapy Methods (3 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Shu‐Jen Chen
150 papers receiving 5.8k citations
Shu‐Jen Chen's Hit Papers
Peers
Comparison fields: 5 of 189
- Management Science and Operations Research 866
- Cancer Research 744
- Genetics 964
- Molecular Biology 2.3k
- Oncology 843
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-authors
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
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fuzzy Multiple Attribute Decision Making Hit paper breakdown → | 1992 | 1395 |
| 2 | 2001 | 272 | |
| 3 | 1996 | 237 | |
| 4 | 2004 | 170 | |
| 5 | 2010 | 161 | |
| 6 | 2003 | 145 | |
| 7 | 1999 | 139 | |
| 8 | 2013 | 133 | |
| 9 | 2016 | 97 | |
| 10 | 2002 | 96 | |
| 11 | 2014 | 87 | |
| 12 | 2006 | 83 | |
| 13 | 2006 | 81 | |
| 14 | 2014 | 80 | |
| 15 | 2022 | 78 | |
| 16 | 1992 | 76 | |
| 17 | 2005 | 75 | |
| 18 | 2013 | 73 | |
| 19 | 1998 | 67 | |
| 20 | 2008 | 62 |
About Shu‐Jen Chen
Shu‐Jen Chen is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 152 papers that have together received 5.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), MicroRNA in disease regulation (13 papers), Cancer Genomics and Diagnostics (13 papers), Cancer-related molecular mechanisms research (10 papers), Ovarian cancer diagnosis and treatment (8 papers), Circular RNAs in diseases (7 papers), Genetic factors in colorectal cancer (7 papers) and Colorectal Cancer Treatments and Studies (7 papers). The work is most often cited by research in Management Science and Operations Research (866 citations), Cancer Research (744 citations), Genetics (964 citations), Molecular Biology (2.3k citations) and Oncology (843 citations). Shu‐Jen Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ching-Lai Hwang, James M. Wilson, Hua‐Chien Chen, Teh‐Liang Chen, John Varga, Yasuji Mori, Yu‐Sun Chang, Ruey‐Chi Wang, Krishna J. Fisher and Ren-Bin Tang. Their work appears in journals such as Oncotarget, Human Gene Therapy, Journal of Neurochemistry, Nanotechnology and Human Gene Therapy Methods.
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.