Ge Dang
Impact in
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Transcranial Magnetic Stimulation Studies
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- EEG and Brain-Computer Interfaces 5
- Functional Brain Connectivity Studies 4
-
- Transcranial Magnetic Stimulation Studies 6
- Co-authors
- Jinsheng Zeng (8 shared papers)Yuefan Yang (1 shared paper)Ya Hua (1 shared paper)Guohua Xi (1 shared paper)Yicong Chen (7 shared papers)Gang Wu (1 shared paper)Richard F. Keep (1 shared paper)Fubing Ouyang (6 shared papers)
- Journals
- Restorative Neurology and Neuroscience (3 papers)Frontiers in Aging Neuroscience (3 papers)Sleep Medicine (1 paper)BMC Psychiatry (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ge Dang
20 papers receiving 316 citations
Peers
Comparison fields: 5 of 59
- Neurology 73
- Neurology 102
- Developmental Neuroscience 12
- Cognitive Neuroscience 50
- Epidemiology 65
Countries citing papers authored by Ge Dang
This map shows the geographic impact of Ge Dang'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 Ge Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Dang more than expected).
Fields of papers citing papers by Ge Dang
This network shows the impact of papers produced by Ge Dang. 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 Ge Dang. The network helps show where Ge Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ge Dang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2016 | 26 | |
| 3 | 2016 | 26 | |
| 4 | 2019 | 23 | |
| 5 | 2014 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2018 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2015 | 1 |
About Ge Dang
Ge Dang is a scholar working on Cognitive Neuroscience, Neurology, Cardiology and Cardiovascular Medicine, Neurology and Pathology and Forensic Medicine, having authored 23 papers that have together received 322 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (6 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (4 papers), Acute Ischemic Stroke Management (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Engineering Diagnostics and Reliability (1 paper) and Flame retardant materials and properties (1 paper). The work is most often cited by research in Neurology (73 citations), Neurology (102 citations), Developmental Neuroscience (12 citations), Cognitive Neuroscience (50 citations) and Epidemiology (65 citations). Ge Dang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinsheng Zeng, Yuefan Yang, Ya Hua, Guohua Xi, Yicong Chen, Gang Wu, Richard F. Keep, Fubing Ouyang, Xinran Chen and Yuhui Zhao. Their work appears in journals such as Restorative Neurology and Neuroscience, Frontiers in Aging Neuroscience, Sleep Medicine, BMC Psychiatry and Medicine.
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.