Ya-Hui Lin
Impact in
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- Acute Ischemic Stroke Management
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- Epilepsy research and treatment
- Neurological Complications and Syndromes
Papers in
- Epidemiology 14
- Acute Ischemic Stroke Management 10
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- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Jiann-Der Lee (19 shared papers)Huan-Lin Hsu (19 shared papers)Yen-Chu Huang (18 shared papers)Ying‐Chih Huang (18 shared papers)Hsu‐Huei Weng (9 shared papers)Meng Lee (18 shared papers)Chih‐Ying Wu (10 shared papers)Yu‐Tai Tsai (1 shared paper)
- Journals
- Current Neurovascular Research (6 papers)PLoS ONE (3 papers)Neurological Research (2 papers)Protein Expression and Purification (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ya-Hui Lin
39 papers receiving 549 citations
Peers
Comparison fields: 5 of 71
- Epidemiology 156
- Psychiatry and Mental health 77
- Hematology 42
- Nephrology 30
- Health, Toxicology and Mutagenesis 43
Countries citing papers authored by Ya-Hui Lin
This map shows the geographic impact of Ya-Hui Lin'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 Lin 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 Lin more than expected).
Fields of papers citing papers by Ya-Hui Lin
This network shows the impact of papers produced by Ya-Hui Lin. 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 Lin. The network helps show where Ya-Hui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Hui Lin, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 98 | |
| 2 | 2010 | 50 | |
| 3 | 2011 | 46 | |
| 4 | 2016 | 36 | |
| 5 | 2009 | 29 | |
| 6 | 2015 | 26 | |
| 7 | 2014 | 24 | |
| 8 | 2009 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2016 | 16 | |
| 11 | 2017 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2012 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2009 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2014 | 9 | |
| 20 | 2015 | 9 |
About Ya-Hui Lin
Ya-Hui Lin is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Health Information Management and Genetics, having authored 42 papers that have together received 566 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (10 papers), Genetic Associations and Epidemiology (5 papers), Lipoproteins and Cardiovascular Health (3 papers), Artificial Intelligence in Healthcare (3 papers), Radiation Dose and Imaging (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Epidemiology (156 citations), Psychiatry and Mental health (77 citations), Hematology (42 citations), Nephrology (30 citations) and Health, Toxicology and Mutagenesis (43 citations). Ya-Hui Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jiann-Der Lee, Huan-Lin Hsu, Yen-Chu Huang, Ying‐Chih Huang, Hsu‐Huei Weng, Meng Lee, Chih‐Ying Wu, Yu‐Tai Tsai, Chia‐Yu Hsu and Wenhua Wang. Their work appears in journals such as Current Neurovascular Research, PLoS ONE, Neurological Research, Protein Expression and Purification and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.