Ya‐Hui Wang
Impact in
- Speech and Hearing top 2%
- Dysphagia Assessment and Management
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 8
- Respiratory Support and Mechanisms 3
- Surgery 10
- Co-authors
- Chih‐Cheng Lai (26 shared papers)Cheng‐Yi Wang (28 shared papers)Po‐Ren Hsueh (4 shared papers)Wen‐Chien Ko (1 shared paper)Jiunn-Jong Wu (2 shared papers)Huan-Yao Lei (2 shared papers)Chao‐Hsien Chen (14 shared papers)Likwang Chen (8 shared papers)
- Journals
- Medicine (4 papers)Frontiers in Pharmacology (4 papers)International Journal of COPD (4 papers)PLoS ONE (4 papers)Journal of Clinical Medicine (3 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ya‐Hui Wang
81 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 151
- Speech and Hearing 111
- Infectious Diseases 212
- Modeling and Simulation 54
- Biochemistry 48
- Hematology 83
Countries citing papers authored by Ya‐Hui Wang
This map shows the geographic impact of Ya‐Hui Wang'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 Wang 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 Wang more than expected).
Fields of papers citing papers by Ya‐Hui Wang
This network shows the impact of papers produced by Ya‐Hui Wang. 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 Wang. The network helps show where Ya‐Hui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya‐Hui Wang, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 274 | |
| 2 | 2015 | 113 | |
| 3 | 2008 | 107 | |
| 4 | 2008 | 79 | |
| 5 | 2020 | 61 | |
| 6 | 2020 | 55 | |
| 7 | 2021 | 54 | |
| 8 | 2022 | 53 | |
| 9 | 2022 | 50 | |
| 10 | 2017 | 42 | |
| 11 | 2022 | 40 | |
| 12 | 2009 | 36 | |
| 13 | 2018 | 33 | |
| 14 | 2018 | 33 | |
| 15 | 2017 | 27 | |
| 16 | 2022 | 26 | |
| 17 | 2022 | 26 | |
| 18 | 2020 | 25 | |
| 19 | 2021 | 25 | |
| 20 | 2017 | 24 |
About Ya‐Hui Wang
Ya‐Hui Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), COVID-19 Clinical Research Studies (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Erythropoietin and Anemia Treatment (4 papers), Respiratory Support and Mechanisms (3 papers), Dysphagia Assessment and Management (3 papers), Voice and Speech Disorders (3 papers) and Obstructive Sleep Apnea Research (3 papers). The work is most often cited by research in Speech and Hearing (111 citations), Infectious Diseases (212 citations), Modeling and Simulation (54 citations), Biochemistry (48 citations) and Hematology (83 citations). Ya‐Hui Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chih‐Cheng Lai, Cheng‐Yi Wang, Po‐Ren Hsueh, Wen‐Chien Ko, Jiunn-Jong Wu, Huan-Yao Lei, Chao‐Hsien Chen, Likwang Chen, Hao‐Chien Wang and Wen-Miin Liang. Their work appears in journals such as Medicine, Frontiers in Pharmacology, International Journal of COPD, PLoS ONE and Journal of Clinical Medicine.
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.