Danlei Wang
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Hedgehog Signaling Pathway Studies 2
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- Nuclear Receptors and Signaling 3
- Co-authors
- Jingyi Li (8 shared papers)Zheng Xue (10 shared papers)Qixiong Qin (8 shared papers)Zhijuan Mao (9 shared papers)Yongjie Xiong (9 shared papers)Zhe Min (8 shared papers)Jiangting Li (7 shared papers)Jingwei Zhao (6 shared papers)
In The Last Decade
Danlei Wang
25 papers receiving 541 citations
Peers
Comparison fields: 5 of 103
- Neurology 93
- Developmental Neuroscience 40
- Biological Psychiatry 18
- Neurology 107
- Cellular and Molecular Neuroscience 88
Countries citing papers authored by Danlei Wang
This map shows the geographic impact of Danlei 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 Danlei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlei Wang more than expected).
Fields of papers citing papers by Danlei Wang
This network shows the impact of papers produced by Danlei 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 Danlei Wang. The network helps show where Danlei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Danlei 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 91 | |
| 2 | 2016 | 87 | |
| 3 | 2021 | 62 | |
| 4 | 2018 | 55 | |
| 5 | 2023 | 39 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2022 | 22 | |
| 9 | 2025 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2025 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2020 | 3 |
About Danlei Wang
Danlei Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Epidemiology, having authored 27 papers that have together received 550 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Nuclear Receptors and Signaling (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Neural Networks and Reservoir Computing (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Neurology (93 citations), Developmental Neuroscience (40 citations), Biological Psychiatry (18 citations), Neurology (107 citations) and Cellular and Molecular Neuroscience (88 citations). Danlei Wang has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Jingyi Li, Zheng Xue, Qixiong Qin, Zhijuan Mao, Yongjie Xiong, Zhe Min, Jiangting Li, Jingwei Zhao, Alfred Xuyang Sun and Ke An. Their work appears in journals such as npj Parkinson s Disease, Frontiers in Aging Neuroscience, Macromolecular Materials and Engineering, Journal of Prosthodontics and Molecular Neurobiology.
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.