Wu Wang
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Vascular Malformations Diagnosis and Treatment
- Biomaterials top 10%
- Magnesium Alloys: Properties and Applications
Papers in
- Neurology 29
- Intracranial Aneurysms: Treatment and Complications 25
- Vascular Malformations Diagnosis and Treatment 6
- Neurosurgical Procedures and Complications 3
-
- Cerebrovascular and Carotid Artery Diseases 10
- Co-authors
- Ming‐Hua Li (25 shared papers)Yong-Dong Li (18 shared papers)Bin-Xian Gu (15 shared papers)Hua-Qiao Tan (15 shared papers)Jian Zhang (2 shared papers)Peilei Zhang (9 shared papers)Guangyin Yuan (1 shared paper)Yongdong Li (1 shared paper)
- Journals
- European Radiology (4 papers)Neurosurgery (3 papers)Acta Radiologica (3 papers)Scientific Reports (2 papers)Acta Neurochirurgica (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wu Wang
65 papers receiving 923 citations
Peers
Comparison fields: 5 of 79
- Neurology 359
- Biomaterials 179
- Pulmonary and Respiratory Medicine 195
- Rheumatology 85
- Surgery 172
Countries citing papers authored by Wu Wang
This map shows the geographic impact of Wu 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 Wu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Wang more than expected).
Fields of papers citing papers by Wu Wang
This network shows the impact of papers produced by Wu 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 Wu Wang. The network helps show where Wu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2014 | 59 | |
| 3 | 2010 | 52 | |
| 4 | 1996 | 48 | |
| 5 | 2010 | 37 | |
| 6 | 2022 | 36 | |
| 7 | 2016 | 34 | |
| 8 | 2011 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2020 | 24 | |
| 12 | 2016 | 24 | |
| 13 | 2015 | 24 | |
| 14 | 2014 | 20 | |
| 15 | 2010 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2013 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2010 | 17 | |
| 20 | 2008 | 17 |
About Wu Wang
Wu Wang is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Surgery, Rheumatology and Epidemiology, having authored 67 papers that have together received 934 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (25 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Moyamoya disease diagnosis and treatment (7 papers), Vascular Malformations Diagnosis and Treatment (6 papers), Nanoplatforms for cancer theranostics (4 papers), Neurosurgical Procedures and Complications (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Orthopedic Infections and Treatments (3 papers). The work is most often cited by research in Neurology (359 citations), Biomaterials (179 citations), Pulmonary and Respiratory Medicine (195 citations), Rheumatology (85 citations) and Surgery (172 citations). Wu Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming‐Hua Li, Yong-Dong Li, Bin-Xian Gu, Hua-Qiao Tan, Jian Zhang, Peilei Zhang, Guangyin Yuan, Yongdong Li, Hua Huang and Haiyun Qu. Their work appears in journals such as European Radiology, Neurosurgery, Acta Radiologica, Scientific Reports and Acta Neurochirurgica.
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.