Long Wang
Impact in
- Neurology top 5%
- Intracranial Aneurysms: Treatment and Complications
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurosurgical Procedures and Complications
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- Autophagy in Disease and Therapy
Papers in
- Co-authors
- Hai Qian (17 shared papers)Xiang’en Shi (17 shared papers)Weiyang Gao (9 shared papers)Xiping Chen (2 shared papers)Pan Chang (2 shared papers)Mingyang Zhang (2 shared papers)Luyang Tao (2 shared papers)Wenwen Dong (2 shared papers)
- Journals
- World Neurosurgery (16 papers)Neurosurgical Review (5 papers)Scientific Reports (4 papers)Acta Neurochirurgica (3 papers)Journal of Plastic Reconstructive & Aesthetic Surgery (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Long Wang
96 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Neurology 333
- Epidemiology 199
- Pulmonary and Respiratory Medicine 169
- Rheumatology 76
- Molecular Biology 371
Countries citing papers authored by Long Wang
This map shows the geographic impact of Long 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 Long Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wang more than expected).
Fields of papers citing papers by Long Wang
This network shows the impact of papers produced by Long 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 Long Wang. The network helps show where Long Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 108 | |
| 2 | 2019 | 59 | |
| 3 | 2018 | 48 | |
| 4 | 2018 | 42 | |
| 5 | 2011 | 40 | |
| 6 | 2021 | 38 | |
| 7 | 2017 | 35 | |
| 8 | 2014 | 32 | |
| 9 | 2022 | 32 | |
| 10 | 2013 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2015 | 28 | |
| 14 | 2022 | 28 | |
| 15 | 2007 | 26 | |
| 16 | 2017 | 26 | |
| 17 | 2017 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2024 | 25 | |
| 20 | 2015 | 24 |
About Long Wang
Long Wang is a scholar working on Neurology, Surgery, Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (18 papers), Reconstructive Surgery and Microvascular Techniques (8 papers), Meningioma and schwannoma management (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Vascular Malformations Diagnosis and Treatment (4 papers). The work is most often cited by research in Neurology (333 citations), Epidemiology (199 citations), Pulmonary and Respiratory Medicine (169 citations), Rheumatology (76 citations) and Molecular Biology (371 citations). Long Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hai Qian, Xiang’en Shi, Weiyang Gao, Xiping Chen, Pan Chang, Mingyang Zhang, Luyang Tao, Wenwen Dong, Jian Ding and Baoshan He. Their work appears in journals such as World Neurosurgery, Neurosurgical Review, Scientific Reports, Acta Neurochirurgica and Journal of Plastic Reconstructive & Aesthetic Surgery.
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.