Fen Xie
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Transcranial Magnetic Stimulation Studies
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Parkinson's Disease Mechanisms and Treatments 7
- Transcranial Magnetic Stimulation Studies 2
- Neurological Disease Mechanisms and Treatments 2
- Neurological Disorders and Treatments 2
- Co-authors
- Qing Wang (12 shared papers)Shuzhen Zhu (10 shared papers)Xiaobo Wei (8 shared papers)Zihan Chang (6 shared papers)Zifeng Huang (5 shared papers)Beisha Tang (2 shared papers)Xiaohua Yang (4 shared papers)Jifeng Guo (1 shared paper)
- Journals
- Frontiers in Aging Neuroscience (2 papers)Aging and Disease (2 papers)ACS Chemical Neuroscience (1 paper)Annals of Clinical and Translational Neurology (1 paper)Experimental Biology and Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Fen Xie
15 papers receiving 322 citations
Peers
Comparison fields: 5 of 67
- Neurology 121
- Neurology 177
- Biological Psychiatry 8
- Cellular and Molecular Neuroscience 45
- Physiology 58
Countries citing papers authored by Fen Xie
This map shows the geographic impact of Fen Xie'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 Fen Xie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fen Xie more than expected).
Fields of papers citing papers by Fen Xie
This network shows the impact of papers produced by Fen Xie. 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 Fen Xie. The network helps show where Fen Xie may publish in the future.
Co-authors
The 25 scholars most cited alongside Fen Xie, 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 | 2019 | 63 | |
| 2 | 2022 | 60 | |
| 3 | 2020 | 44 | |
| 4 | 2018 | 36 | |
| 5 | 2021 | 27 | |
| 6 | 2018 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2018 | 3 | |
| 15 | 2024 | 1 |
About Fen Xie
Fen Xie is a scholar working on Neurology, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Physiology, having authored 15 papers that have together received 329 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Acute Ischemic Stroke Management (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Neurological Disorders and Treatments (2 papers), Muscle activation and electromyography studies (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Neurology (121 citations), Neurology (177 citations), Biological Psychiatry (8 citations), Cellular and Molecular Neuroscience (45 citations) and Physiology (58 citations). Fen Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qing Wang, Shuzhen Zhu, Xiaobo Wei, Zihan Chang, Zifeng Huang, Beisha Tang, Xiaohua Yang, Jifeng Guo, Bin Deng and Hong Jiang. Their work appears in journals such as Frontiers in Aging Neuroscience, Aging and Disease, ACS Chemical Neuroscience, Annals of Clinical and Translational Neurology and Experimental Biology 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.