Shengpan Chen
Impact in
- Neurology top 2%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
Papers in
-
- Intracerebral and Subarachnoid Hemorrhage Research 7
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 2
- Surgery 4
- Spinal Hematomas and Complications 2
- Co-authors
- John H. Zhang (7 shared papers)Prativa Sherchan (5 shared papers)Yumin Luo (2 shared papers)Jiping Tang (5 shared papers)Jing Yu (3 shared papers)Ziping Han (2 shared papers)Yuyou Huang (2 shared papers)Jianhua Peng (2 shared papers)
- Journals
- Journal of Neuroinflammation (3 papers)Cell Transplantation (2 papers)Frontiers in Immunology (2 papers)Reviews in the Neurosciences (2 papers)Oxidative Medicine and Cellular Longevity (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shengpan Chen
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Neurology 340
- Neurology 372
- Biological Psychiatry 23
- Immunology 139
- Developmental Neuroscience 26
Countries citing papers authored by Shengpan Chen
This map shows the geographic impact of Shengpan Chen'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 Shengpan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengpan Chen more than expected).
Fields of papers citing papers by Shengpan Chen
This network shows the impact of papers produced by Shengpan Chen. 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 Shengpan Chen. The network helps show where Shengpan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengpan Chen, 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 | 2020 | 272 | |
| 2 | 2020 | 131 | |
| 3 | 2020 | 117 | |
| 4 | 2022 | 116 | |
| 5 | 2018 | 105 | |
| 6 | 2021 | 104 | |
| 7 | 2018 | 57 | |
| 8 | 2019 | 56 | |
| 9 | 2019 | 18 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2025 | 1 |
About Shengpan Chen
Shengpan Chen is a scholar working on Neurology, Surgery, Molecular Biology, Neurology and Epidemiology, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Kruppel-like factors research (2 papers), Spinal Hematomas and Complications (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Acute Ischemic Stroke Management (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Neurology (340 citations), Neurology (372 citations), Biological Psychiatry (23 citations), Immunology (139 citations) and Developmental Neuroscience (26 citations). Shengpan Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include John H. Zhang, Prativa Sherchan, Yumin Luo, Jiping Tang, Jing Yu, Ziping Han, Yuyou Huang, Jianhua Peng, Hongqi Zhang and Hao Zhao. Their work appears in journals such as Journal of Neuroinflammation, Cell Transplantation, Frontiers in Immunology, Reviews in the Neurosciences and Oxidative Medicine and Cellular Longevity.
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.