Baiping Wang
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Long-Term Effects of COVID-19
- Physiology top 1%
- Alzheimer's disease research and treatments
Papers in
- Physiology 11
- Alzheimer's disease research and treatments 11
-
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Hui Zheng (19 shared papers)Zilai Wang (6 shared papers)Li Yang (4 shared papers)Hongmei Li (5 shared papers)Ethan R. Roy (3 shared papers)Nicholas E. Propson (3 shared papers)Virginia M.‐Y. Lee (2 shared papers)Qinxi Guo (3 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Neuron (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Molecular Neurodegeneration (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Baiping Wang
20 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 56
- Neurology 237
- Physiology 869
- Developmental Neuroscience 34
- Aging 9
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by Baiping Wang
This map shows the geographic impact of Baiping Wang'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 Baiping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baiping Wang more than expected).
Fields of papers citing papers by Baiping Wang
This network shows the impact of papers produced by Baiping Wang. 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 Baiping Wang. The network helps show where Baiping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baiping Wang, 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 | 390 | |
| 2 | 2007 | 315 | |
| 3 | 2014 | 311 | |
| 4 | 2009 | 201 | |
| 5 | 2022 | 160 | |
| 6 | 2010 | 101 | |
| 7 | 2009 | 96 | |
| 8 | 2014 | 83 | |
| 9 | 2007 | 81 | |
| 10 | 2021 | 73 | |
| 11 | 2006 | 61 | |
| 12 | 2023 | 60 | |
| 13 | 2018 | 41 | |
| 14 | 2023 | 38 | |
| 15 | 2011 | 34 | |
| 16 | 2017 | 30 | |
| 17 | 2010 | 28 | |
| 18 | 2024 | 12 | |
| 19 | 2025 | 5 | |
| 20 | 2025 | 4 |
About Baiping Wang
Baiping Wang is a scholar working on Physiology, Neurology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Hedgehog Signaling Pathway Studies (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Axon Guidance and Neuronal Signaling (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Neurology (237 citations), Physiology (869 citations), Developmental Neuroscience (34 citations), Aging (9 citations) and Cellular and Molecular Neuroscience (88 citations). Baiping Wang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Hui Zheng, Zilai Wang, Li Yang, Hongmei Li, Ethan R. Roy, Nicholas E. Propson, Virginia M.‐Y. Lee, Qinxi Guo, Wei Cao and Daniel B. Swartzlander. Their work appears in journals such as Journal of Neuroscience, Neuron, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Neurodegeneration.
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.