Yu‐Ching Chen
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Co-authors
- Yi-Ming Sung (2 shared papers)Shu‐Pao Wu (2 shared papers)Cheng-Hsuan Wu (4 shared papers)Horng‐Der Tsai (4 shared papers)Victor C. Kok (5 shared papers)Chung‐Shi Yang (4 shared papers)Jorng‐Tzong Horng (4 shared papers)Tzyy‐Rong Jinn (2 shared papers)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)PeerJ (2 papers)Pervasive and Mobile Computing (1 paper)Journal of Assisted Reproduction and Genetics (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Yu‐Ching Chen
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 139
- Molecular Medicine 65
- Endocrinology 41
- Reproductive Medicine 57
- Electrochemistry 40
- Cardiology and Cardiovascular Medicine 127
Countries citing papers authored by Yu‐Ching Chen
This map shows the geographic impact of Yu‐Ching 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‐Ching 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‐Ching Chen more than expected).
Fields of papers citing papers by Yu‐Ching Chen
This network shows the impact of papers produced by Yu‐Ching 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‐Ching Chen. The network helps show where Yu‐Ching Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Ching 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 160 | |
| 2 | 2011 | 119 | |
| 3 | 2013 | 78 | |
| 4 | 2014 | 59 | |
| 5 | 2013 | 57 | |
| 6 | 2009 | 55 | |
| 7 | 2015 | 54 | |
| 8 | 2016 | 38 | |
| 9 | 2013 | 37 | |
| 10 | 2017 | 36 | |
| 11 | 2008 | 33 | |
| 12 | 2016 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2015 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2014 | 26 | |
| 18 | 2011 | 25 | |
| 19 | 2012 | 25 | |
| 20 | 2016 | 23 |
About Yu‐Ching Chen
Yu‐Ching Chen is a scholar working on Molecular Biology, Epidemiology, Computer Networks and Communications, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microwave Engineering and Waveguides (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Electromagnetic Compatibility and Noise Suppression (3 papers), Microwave and Dielectric Measurement Techniques (3 papers), Vibrio bacteria research studies (2 papers), Adaptive Control of Nonlinear Systems (2 papers), Adipose Tissue and Metabolism (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Molecular Medicine (65 citations), Endocrinology (41 citations), Reproductive Medicine (57 citations), Electrochemistry (40 citations) and Cardiology and Cardiovascular Medicine (127 citations). Yu‐Ching Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yi-Ming Sung, Shu‐Pao Wu, Cheng-Hsuan Wu, Horng‐Der Tsai, Victor C. Kok, Chung‐Shi Yang, Jorng‐Tzong Horng, Tzyy‐Rong Jinn, Ching‐Ting Lin and Chien-Chen Wu. Their work appears in journals such as PLoS ONE, Scientific Reports, PeerJ, Pervasive and Mobile Computing and Journal of Assisted Reproduction and Genetics.
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.