Beiyu Wang
Impact in
-
- Spine and Intervertebral Disc Pathology
- Surgery top 5%
- Cervical and Thoracic Myelopathy
- Spinal Fractures and Fixation Techniques
Papers in
- Surgery 92
- Cervical and Thoracic Myelopathy 90
- Spinal Fractures and Fixation Techniques 18
-
- Spine and Intervertebral Disc Pathology 28
- Co-authors
- Hao Liu (83 shared papers)Yang Meng (55 shared papers)Chen Ding (64 shared papers)Xin Rong (41 shared papers)Tingkui Wu (50 shared papers)Ying Hong (43 shared papers)Jinfeng Liao (2 shared papers)Yi Yang (27 shared papers)
- Journals
- Clinical Neurology and Neurosurgery (16 papers)BMC Musculoskeletal Disorders (16 papers)World Neurosurgery (13 papers)Medicine (9 papers)Journal of Orthopaedic Surgery and Research (7 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Beiyu Wang
110 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Pathology and Forensic Medicine 388
- Surgery 838
- Health Informatics 17
- Biomaterials 82
- Biomedical Engineering 193
Countries citing papers authored by Beiyu Wang
This map shows the geographic impact of Beiyu 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 Beiyu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiyu Wang more than expected).
Fields of papers citing papers by Beiyu Wang
This network shows the impact of papers produced by Beiyu 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 Beiyu Wang. The network helps show where Beiyu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Beiyu 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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 158 | |
| 2 | 2011 | 80 | |
| 3 | 2023 | 46 | |
| 4 | 2017 | 41 | |
| 5 | 2017 | 39 | |
| 6 | 2019 | 38 | |
| 7 | 2019 | 37 | |
| 8 | 2017 | 34 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2016 | 26 | |
| 12 | 2022 | 26 | |
| 13 | 2020 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2018 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2015 | 16 |
About Beiyu Wang
Beiyu Wang is a scholar working on Surgery, Pathology and Forensic Medicine, Biomedical Engineering, Pharmacology and Geophysics, having authored 115 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cervical and Thoracic Myelopathy (90 papers), Spine and Intervertebral Disc Pathology (28 papers), Spinal Fractures and Fixation Techniques (18 papers), Medical Imaging and Analysis (3 papers), earthquake and tectonic studies (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Geological and Geophysical Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (388 citations), Surgery (838 citations), Health Informatics (17 citations), Biomaterials (82 citations) and Biomedical Engineering (193 citations). Beiyu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hao Liu, Yang Meng, Chen Ding, Xin Rong, Tingkui Wu, Ying Hong, Jinfeng Liao, Yi Yang, Dawei Yang and Lang Li. Their work appears in journals such as Clinical Neurology and Neurosurgery, BMC Musculoskeletal Disorders, World Neurosurgery, Medicine and Journal of Orthopaedic Surgery and Research.
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.