Ya‐Hui Tsai
Impact in
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
- biodegradable polymer synthesis and properties
Papers in
-
- Image and Object Detection Techniques 5
- Advanced Vision and Imaging 4
- Co-authors
- Sheng‐Hong Tseng (24 shared papers)Yun Chen (21 shared papers)Shu-Ju Wu (5 shared papers)Du‐Ming Tsai (5 shared papers)Jane C.‐J. Chao (4 shared papers)Yun-Ho Lin (3 shared papers)Chun‐Chao Chang (1 shared paper)Ka‐Wai Tam (1 shared paper)
- Journals
- Journal of Pediatric Surgery (6 papers)Anticancer Research (3 papers)The American Journal of Chinese Medicine (3 papers)Surgery (2 papers)Molecules (2 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Ya‐Hui Tsai
65 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 145
- Pharmacology 98
- Biomaterials 155
- Hepatology 76
- Molecular Medicine 49
- Cancer Research 101
Countries citing papers authored by Ya‐Hui Tsai
This map shows the geographic impact of Ya‐Hui Tsai'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 Ya‐Hui Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya‐Hui Tsai more than expected).
Fields of papers citing papers by Ya‐Hui Tsai
This network shows the impact of papers produced by Ya‐Hui Tsai. 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 Ya‐Hui Tsai. The network helps show where Ya‐Hui Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hui Tsai, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 101 | |
| 2 | 2008 | 81 | |
| 3 | 2011 | 73 | |
| 4 | 2010 | 59 | |
| 5 | 2012 | 44 | |
| 6 | 2020 | 43 | |
| 7 | 2011 | 41 | |
| 8 | 2011 | 39 | |
| 9 | 2022 | 39 | |
| 10 | 2002 | 39 | |
| 11 | 2007 | 37 | |
| 12 | 2011 | 33 | |
| 13 | 2012 | 32 | |
| 14 | 2013 | 30 | |
| 15 | 2012 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2012 | 29 | |
| 18 | 2018 | 28 | |
| 19 | 2016 | 28 | |
| 20 | 2016 | 25 |
About Ya‐Hui Tsai
Ya‐Hui Tsai is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biomaterials, Oncology and Epidemiology, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Robotics and Sensor-Based Localization (4 papers), Cancer Cells and Metastasis (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Advanced Vision and Imaging (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Pharmacology (98 citations), Biomaterials (155 citations), Hepatology (76 citations), Molecular Medicine (49 citations) and Cancer Research (101 citations). Ya‐Hui Tsai has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Sheng‐Hong Tseng, Yun Chen, Shu-Ju Wu, Du‐Ming Tsai, Jane C.‐J. Chao, Yun-Ho Lin, Chun‐Chao Chang, Ka‐Wai Tam, Jane C.-J. Chao and Chuan Li. Their work appears in journals such as Journal of Pediatric Surgery, Anticancer Research, The American Journal of Chinese Medicine, Surgery and Molecules.
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.