Yu‐Hsien Lai
- Physiology top 10%
- Nephrology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Bang‐Gee HsuYu‐Li LinChiu‐Huang KuoChih‐Hsien WangTe‐Chao FangHung‐Hsiang LiouJen‐Pi TsaiShuyuan Chen
- Topics
- Cardiovascular Health and Disease Prevention (22 papers)Dialysis and Renal Disease Management (11 papers)Renal function and acid-base balance (10 papers)
- Partner nations
- TaiwanUnited StatesIndonesia
In The Last Decade
Yu‐Hsien Lai
68 papers receiving 730 citations
Peers
Comparison fields: 5 of 104
- Physiology 268
- Nephrology 223
- Cardiology and Cardiovascular Medicine 145
- Epidemiology 106
- Molecular Biology 103
Countries citing papers authored by Yu‐Hsien Lai
This map shows the geographic impact of Yu‐Hsien Lai'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‐Hsien Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hsien Lai more than expected).
Fields of papers citing papers by Yu‐Hsien Lai
This network shows the impact of papers produced by Yu‐Hsien Lai. 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‐Hsien Lai. The network helps show where Yu‐Hsien Lai may publish in the future.
Co-authorship network of co-authors of Yu‐Hsien Lai
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hsien Lai. A scholar is included among the top collaborators of Yu‐Hsien Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu‐Hsien Lai. Yu‐Hsien Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 24 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | Hazards of antithrombotic therapy on hemodialysis patients with atrial fibrillation and high thromboembolic risk: A Taiwanese population-based cohort study | 2 |
| 11 | 1 | |
| 12 | 20 | |
| 13 | Recent advances in vitamin D | 2 |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | Adult Stem Cell Therapy for Acute Renal Failure: The Hope beyond the Hype? | 1 |
| 19 | Functional Time Series Prediction Using Process Neural Network | 1 |
| 20 | 1 |
About Yu‐Hsien Lai
Yu‐Hsien Lai is a scholar working on Nephrology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 739 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (22 papers), Dialysis and Renal Disease Management (11 papers) and Renal function and acid-base balance (10 papers). The work is most often cited by research in Nephrology (223 citations), Geriatrics and Gerontology (47 citations) and Physiology (268 citations). Yu‐Hsien Lai has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Bang‐Gee Hsu, Yu‐Li Lin, Chiu‐Huang Kuo, Chih‐Hsien Wang, Te‐Chao Fang, Hung‐Hsiang Liou, Jen‐Pi Tsai, Shuyuan Chen, Chin‐Hung Liu and Chu‐Lin Chou. Their work appears in journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.
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.