Xun Wu
- Neurology top 2%
- Intracerebral and Subarachnoid Hemorrhage Research 11
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Neurosurgical Procedures and Complications 5
- Neurological Disease Mechanisms and Treatments 4
- Geriatrics and Gerontology top 5%
- Neurology top 5%
- Intracerebral and Subarachnoid Hemorrhage Research 11
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Neurosurgical Procedures and Complications 5
- Neurological Disease Mechanisms and Treatments 4
- Developmental Neuroscience top 10%
- Aquatic Science top 5%
-
- Adipokines, Inflammation, and Metabolic Diseases 5
- Congenital Heart Disease Studies 4
-
- Mitochondrial Function and Pathology 4
-
- Tissue Engineering and Regenerative Medicine 4
- Cited by
- NeurologyGeriatrics and Gerontology
- Partner nations
- ChinaUnited States
In The Last Decade
Xun Wu
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Neurology 320
- Geriatrics and Gerontology 67
- Neurology 247
- Developmental Neuroscience 49
- Aquatic Science 80
Countries citing papers authored by Xun Wu
This map shows the geographic impact of Xun Wu'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 Xun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Wu more than expected).
Fields of papers citing papers by Xun Wu
This network shows the impact of papers produced by Xun Wu. 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 Xun Wu. The network helps show where Xun Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xun Wu, 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 | 2025 | 3 | |
| 2 | 2024 | 12 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 56 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 51 | |
| 11 | 2020 | 140 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 20 | |
| 14 | 2020 | 0 | |
| 15 | 2020 | 13 | |
| 16 | 2020 | 26 | |
| 17 | 2020 | 5 | |
| 18 | 2019 | 37 | |
| 19 | 2015 | 4 | |
| 20 | Nonlinear Quantitative Analysis of the EEG Waves in Brain Death Patients | 2008 | 0 |
About Xun Wu
Xun Wu is a scholar working on Neurology, Neurology and Internal Medicine, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neurosurgical Procedures and Complications (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Mitochondrial Function and Pathology (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Congenital Heart Disease Studies (4 papers). The work is most often cited by research in Neurology (320 citations), Geriatrics and Gerontology (67 citations) and Neurology (247 citations). Xun Wu has collaborated with scholars based in China and United States. Frequent co-authors include Haixiao Liu, Yan Qu, Wenxing Cui, Jianing Luo, Hao Bai, Dayun Feng, Hao Guo, Lei Zhao, Wei Guo and Dayun Feng. Their work appears in journals such as PLoS ONE, Brain Research and Science Advances.
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.