Chien-Tsu Chen
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
Papers in
-
- RNA Interference and Gene Delivery 2
- Sphingolipid Metabolism and Signaling 2
-
- Electrochemical sensors and biosensors 2
- Co-authors
- Chun‐Mao Lin (4 shared papers)Yu‐Chih Liang (2 shared papers)Chien-Shu Chen (1 shared paper)Jen-Kun Lin (1 shared paper)Yi‐Ping Chen (7 shared papers)Tsang-Pai Liu (5 shared papers)Chih‐Ming Chou (4 shared papers)Chung‐Yuan Mou (5 shared papers)
- Journals
- Journal of Lipid Research (1 paper)The American Journal of Chinese Medicine (1 paper)Nanomedicine Nanotechnology Biology and Medicine (1 paper)Biochemical and Biophysical Research Communications (1 paper)Nanoscale Research Letters (1 paper)
- Partner nations
- TaiwanPakistanUnited States
In The Last Decade
Chien-Tsu Chen
16 papers receiving 823 citations
Peers
Comparison fields: 5 of 104
- Nephrology 120
- Biochemistry 63
- Pharmacology 88
- Biomaterials 117
- Complementary and alternative medicine 63
Countries citing papers authored by Chien-Tsu Chen
This map shows the geographic impact of Chien-Tsu 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 Chien-Tsu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Tsu Chen more than expected).
Fields of papers citing papers by Chien-Tsu Chen
This network shows the impact of papers produced by Chien-Tsu 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 Chien-Tsu Chen. The network helps show where Chien-Tsu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chien-Tsu 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 | 2002 | 253 | |
| 2 | 2013 | 144 | |
| 3 | 2005 | 84 | |
| 4 | 2010 | 70 | |
| 5 | 2016 | 63 | |
| 6 | 1999 | 48 | |
| 7 | 2015 | 46 | |
| 8 | 2011 | 33 | |
| 9 | 1999 | 28 | |
| 10 | 2020 | 22 | |
| 11 | 2000 | 19 | |
| 12 | 1998 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2018 | 10 | |
| 15 | 2016 | 6 | |
| 16 | 2011 | 1 |
About Chien-Tsu Chen
Chien-Tsu Chen is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Organic Chemistry, Surgery and Biomedical Engineering, having authored 16 papers that have together received 852 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Electrochemical sensors and biosensors (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Graphene and Nanomaterials Applications (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Molecular Sensors and Ion Detection (1 paper), Polysaccharides and Plant Cell Walls (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Nephrology (120 citations), Biochemistry (63 citations), Pharmacology (88 citations), Biomaterials (117 citations) and Complementary and alternative medicine (63 citations). Chien-Tsu Chen has collaborated with scholars based in Taiwan, Pakistan and United States. Frequent co-authors include Chun‐Mao Lin, Yu‐Chih Liang, Chien-Shu Chen, Jen-Kun Lin, Yi‐Ping Chen, Tsang-Pai Liu, Chih‐Ming Chou, Chung‐Yuan Mou, Sheng‐Tung Huang and Yann Hung. Their work appears in journals such as Journal of Lipid Research, The American Journal of Chinese Medicine, Nanomedicine Nanotechnology Biology and Medicine, Biochemical and Biophysical Research Communications and Nanoscale Research Letters.
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.