Xing-Chen Wang
Impact in
- Neurology top 2%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neurosurgical Procedures and Complications
- Traumatic Brain Injury and Neurovascular Disturbances
- Epidemiology top 10%
- Acute Ischemic Stroke Management
Papers in
-
- Intracerebral and Subarachnoid Hemorrhage Research 6
- Neurosurgical Procedures and Complications 6
- Traumatic Brain Injury and Neurovascular Disturbances 2
-
- Acute Ischemic Stroke Management 6
- Co-authors
- Qi Li (7 shared papers)Wen‐Song Yang (7 shared papers)Peng Xie (6 shared papers)Xin Xiong (4 shared papers)Wei Xiao (3 shared papers)Qingjun Liu (3 shared papers)Kewei Li (1 shared paper)Gang Zhang (1 shared paper)
- Journals
- Stroke (2 papers)Lipids in Health and Disease (1 paper)Cerebrovascular Diseases (1 paper)Biochimie (1 paper)Neurocritical Care (1 paper)
- Partner nations
- China
In The Last Decade
Xing-Chen Wang
15 papers receiving 581 citations
Peers
Comparison fields: 5 of 49
- Neurology 522
- Epidemiology 444
- Internal Medicine 12
- Radiology, Nuclear Medicine and Imaging 70
- Endocrinology, Diabetes and Metabolism 26
Countries citing papers authored by Xing-Chen Wang
This map shows the geographic impact of Xing-Chen 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 Xing-Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing-Chen Wang more than expected).
Fields of papers citing papers by Xing-Chen Wang
This network shows the impact of papers produced by Xing-Chen 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 Xing-Chen Wang. The network helps show where Xing-Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing-Chen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 208 | |
| 2 | 2017 | 194 | |
| 3 | 2017 | 42 | |
| 4 | 2020 | 36 | |
| 5 | 2017 | 33 | |
| 6 | 2018 | 29 | |
| 7 | 2018 | 25 | |
| 8 | 2024 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2025 | 0 |
About Xing-Chen Wang
Xing-Chen Wang is a scholar working on Neurology, Epidemiology, Molecular Biology, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 583 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Neurosurgical Procedures and Complications (6 papers), Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Bat Biology and Ecology Studies (2 papers) and Hereditary Neurological Disorders (1 paper). The work is most often cited by research in Neurology (522 citations), Epidemiology (444 citations), Internal Medicine (12 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Xing-Chen Wang has collaborated with scholars based in China. Frequent co-authors include Qi Li, Wen‐Song Yang, Peng Xie, Xin Xiong, Wei Xiao, Qingjun Liu, Kewei Li, Gang Zhang, Dan Zhu and Du Cao. Their work appears in journals such as Stroke, Lipids in Health and Disease, Cerebrovascular Diseases, Biochimie and Neurocritical Care.
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.