Wei‐Hsin Wang
Impact in
- Neurology top 10%
- Neurosurgical Procedures and Complications
- Intracerebral and Subarachnoid Hemorrhage Research
- Otorhinolaryngology top 10%
Papers in ⓘ
- Epidemiology 14
- Meningioma and schwannoma management 14
- Surgery 10
- Head and Neck Surgical Oncology 10
- Co-authors
- Tze-Min Shen (2 shared papers)Ting-Yi Huang (2 shared papers)Ruey‐Beei Wu (2 shared papers)Eric W. Wang (8 shared papers)Juan C. Fernandez‐Miranda (7 shared papers)Paul A. Gardner (7 shared papers)Cheng‐Chia Lee (5 shared papers)Chun‐Fu Lin (6 shared papers)
- Journals
- Journal of neurosurgery (4 papers)Operative Neurosurgery (3 papers)Journal of Neuro-Oncology (2 papers)Clinical Neurology and Neurosurgery (2 papers)World Neurosurgery (1 paper)
- Partner nations
- TaiwanUnited StatesBelgium
In The Last Decade
Wei‐Hsin Wang
26 papers receiving 504 citations
Peers
Comparison fields: 5 of 63
- Neurology 153
- Otorhinolaryngology 44
- Epidemiology 203
- Endocrinology, Diabetes and Metabolism 97
- Surgery 220
Countries citing papers authored by Wei‐Hsin Wang
This map shows the geographic impact of Wei‐Hsin 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 Wei‐Hsin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Hsin Wang more than expected).
Fields of papers citing papers by Wei‐Hsin Wang
This network shows the impact of papers produced by Wei‐Hsin 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 Wei‐Hsin Wang. The network helps show where Wei‐Hsin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Hsin 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 97 | |
| 2 | 2014 | 73 | |
| 3 | 2015 | 44 | |
| 4 | 2009 | 40 | |
| 5 | 2016 | 36 | |
| 6 | 2015 | 34 | |
| 7 | 2020 | 34 | |
| 8 | 2019 | 32 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2012 | 3 |
About Wei‐Hsin Wang
Wei‐Hsin Wang is a scholar working on Epidemiology, Surgery, Neurology, Endocrinology, Diabetes and Metabolism and Otorhinolaryngology, having authored 29 papers that have together received 518 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (14 papers), Pituitary Gland Disorders and Treatments (10 papers), Head and Neck Surgical Oncology (10 papers), Vascular Malformations Diagnosis and Treatment (4 papers), Glioma Diagnosis and Treatment (4 papers), Sinusitis and nasal conditions (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Microwave Engineering and Waveguides (2 papers). The work is most often cited by research in Neurology (153 citations), Otorhinolaryngology (44 citations), Epidemiology (203 citations), Endocrinology, Diabetes and Metabolism (97 citations) and Surgery (220 citations). Wei‐Hsin Wang has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Tze-Min Shen, Ting-Yi Huang, Ruey‐Beei Wu, Eric W. Wang, Juan C. Fernandez‐Miranda, Paul A. Gardner, Cheng‐Chia Lee, Chun‐Fu Lin, Sanford P.C. Hsu and Carl H. Snyderman. Their work appears in journals such as Journal of neurosurgery, Operative Neurosurgery, Journal of Neuro-Oncology, Clinical Neurology and Neurosurgery and World Neurosurgery.
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.