Fanxia Shen
Impact in
- Neurology top 1%
- Vascular Malformations Diagnosis and Treatment
- Intracranial Aneurysms: Treatment and Complications
- Neuroinflammation and Neurodegeneration Mechanisms
- Intracerebral and Subarachnoid Hemorrhage Research
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Neurology 13
- Vascular Malformations Diagnosis and Treatment 15
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Intracranial Aneurysms: Treatment and Complications 7
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Co-authors
- William L. YoungHua SuGuo‐Yuan YangYongmei ChenYongfeng FanYiqian ZhuVincent DegosWei Zhu
- Journals
- Stroke (12 papers)Journal of Cerebral Blood Flow & Metabolism (5 papers)Translational Stroke Research (3 papers)Annals of Neurology (3 papers)Theranostics (2 papers)
- Partner nations
- United StatesChinaYemen
In The Last Decade
Fanxia Shen
56 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 102
- Neurology 621
- Developmental Neuroscience 243
- Neurology 807
- Genetics 392
- Cancer Research 425
Countries citing papers authored by Fanxia Shen
This map shows the geographic impact of Fanxia Shen'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 Fanxia Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanxia Shen more than expected).
Fields of papers citing papers by Fanxia Shen
This network shows the impact of papers produced by Fanxia Shen. 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 Fanxia Shen. The network helps show where Fanxia Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanxia Shen, 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 | 2023 | 25 | |
| 2 | 2022 | 1 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 19 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 32 | |
| 7 | 2018 | 41 | |
| 8 | 2016 | 16 | |
| 9 | 2014 | 94 | |
| 10 | 2012 | 67 | |
| 11 | 2011 | 27 | |
| 12 | 2011 | 57 | |
| 13 | 2010 | 264 | |
| 14 | 2010 | 52 | |
| 15 | 2009 | 46 | |
| 16 | 2009 | 242 | |
| 17 | 2008 | 23 | |
| 18 | 2006 | 56 | |
| 19 | 2006 | 27 | |
| 20 | 2005 | 108 |
About Fanxia Shen
Fanxia Shen is a scholar working on Neurology, Developmental Neuroscience, Structural Biology, Neurology and Genetics, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Vascular Malformations Diagnosis and Treatment (15 papers), Angiogenesis and VEGF in Cancer (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Acute Ischemic Stroke Management (9 papers), Vascular Anomalies and Treatments (8 papers), Intracranial Aneurysms: Treatment and Complications (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (7 papers) and Moyamoya disease diagnosis and treatment (7 papers). The work is most often cited by research in Neurology (621 citations), Developmental Neuroscience (243 citations), Neurology (807 citations), Genetics (392 citations) and Cancer Research (425 citations). Fanxia Shen has collaborated with scholars based in United States, China and Yemen. Frequent co-authors include William L. Young, Hua Su, Guo‐Yuan Yang, Yongmei Chen, Guo‐Yuan Yang, Yongfeng Fan, Yiqian Zhu, Vincent Degos, Wei Zhu and Espen J. Walker. Their work appears in journals such as Stroke, Journal of Cerebral Blood Flow & Metabolism, Translational Stroke Research, Annals of Neurology and Theranostics.
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.