Yu‐Chih Chen
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 8
- Epigenetics and DNA Methylation 6
- Oncology 31
- Cancer Cells and Metastasis 28
- Co-authors
- Euisik Yoon (35 shared papers)Shih‐Hwa Chiou (15 shared papers)Chung‐Che Chou (2 shared papers)Yung‐Jung Hsu (4 shared papers)Hung‐Hai Ku (8 shared papers)Chung-Lan Kao (10 shared papers)Yi‐Wei Chen (5 shared papers)Han‐Shui Hsu (5 shared papers)
- Journals
- Scientific Reports (9 papers)Lab on a Chip (7 papers)Analytical Chemistry (4 papers)Journal of Atherosclerosis and Thrombosis (3 papers)Nature Communications (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu‐Chih Chen
142 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 181
- Oncology 1.5k
- Cancer Research 738
- Geriatrics and Gerontology 166
- Molecular Biology 1.9k
- Biomedical Engineering 1.1k
Countries citing papers authored by Yu‐Chih Chen
This map shows the geographic impact of Yu‐Chih 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 Yu‐Chih Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chih Chen more than expected).
Fields of papers citing papers by Yu‐Chih Chen
This network shows the impact of papers produced by Yu‐Chih 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 Yu‐Chih Chen. The network helps show where Yu‐Chih Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Chih 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 147 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 421 | |
| 2 | 2009 | 393 | |
| 3 | 2005 | 219 | |
| 4 | 2010 | 213 | |
| 5 | 2010 | 188 | |
| 6 | 2012 | 185 | |
| 7 | 2019 | 180 | |
| 8 | 2012 | 169 | |
| 9 | 2010 | 149 | |
| 10 | 2015 | 130 | |
| 11 | 2014 | 123 | |
| 12 | 2011 | 117 | |
| 13 | 2010 | 111 | |
| 14 | 2015 | 106 | |
| 15 | 2018 | 97 | |
| 16 | 2018 | 97 | |
| 17 | 2017 | 95 | |
| 18 | 2006 | 95 | |
| 19 | 2009 | 90 | |
| 20 | 2011 | 89 |
About Yu‐Chih Chen
Yu‐Chih Chen is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Electrical and Electronic Engineering and Cancer Research, having authored 147 papers that have together received 5.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (28 papers), 3D Printing in Biomedical Research (19 papers), Microfluidic and Bio-sensing Technologies (15 papers), Single-cell and spatial transcriptomics (8 papers), Quantum Chromodynamics and Particle Interactions (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (738 citations), Geriatrics and Gerontology (166 citations), Molecular Biology (1.9k citations) and Biomedical Engineering (1.1k citations). Yu‐Chih Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Euisik Yoon, Shih‐Hwa Chiou, Chung‐Che Chou, Yung‐Jung Hsu, Hung‐Hai Ku, Chung-Lan Kao, Yi‐Wei Chen, Han‐Shui Hsu, Ying‐Chih Pu and Yuh-Lih Chang. Their work appears in journals such as Scientific Reports, Lab on a Chip, Analytical Chemistry, Journal of Atherosclerosis and Thrombosis and Nature Communications.
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.