Suzhen Lin
Impact in
-
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
- Botulinum Toxin and Related Neurological Disorders
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- Fluid Dynamics and Turbulent Flows
Papers in
- Neurology 11
- Neurological disorders and treatments 9
- Parkinson's Disease Mechanisms and Treatments 2
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Gas Dynamics and Kinetic Theory 2
- Co-authors
- B. Kivel (1 shared paper)Ruinan Shen (7 shared papers)Lu He (6 shared papers)Jianqing Ding (4 shared papers)Yiwen Wu (10 shared papers)Dian-you Li (10 shared papers)Yixin Pan (6 shared papers)Bomin Sun (8 shared papers)
- Journals
- Journal of neurosurgery (2 papers)Translational Neurodegeneration (2 papers)European Journal of Neurology (2 papers)Neurosurgery (1 paper)Journal of Psychiatric Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Suzhen Lin
19 papers receiving 296 citations
Peers
Comparison fields: 5 of 77
- Neurology 101
- Neurology 22
- Computational Mechanics 56
- Biological Psychiatry 6
- Applied Mathematics 27
Countries citing papers authored by Suzhen Lin
This map shows the geographic impact of Suzhen Lin'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 Suzhen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzhen Lin more than expected).
Fields of papers citing papers by Suzhen Lin
This network shows the impact of papers produced by Suzhen Lin. 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 Suzhen Lin. The network helps show where Suzhen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzhen Lin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2020 | 52 | |
| 3 | 1968 | 48 | |
| 4 | 1959 | 47 | |
| 5 | 1961 | 30 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 1989 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 1965 | 0 |
About Suzhen Lin
Suzhen Lin is a scholar working on Neurology, Neurology, Applied Mathematics, Cellular and Molecular Neuroscience and Geriatrics and Gerontology, having authored 23 papers that have together received 335 indexed citations. Recurring topics across this work include Neurological disorders and treatments (9 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Plasma Diagnostics and Applications (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Fluid Dynamics and Turbulent Flows (2 papers), Gas Dynamics and Kinetic Theory (2 papers), Nuclear Receptors and Signaling (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Neurology (101 citations), Neurology (22 citations), Computational Mechanics (56 citations), Biological Psychiatry (6 citations) and Applied Mathematics (27 citations). Suzhen Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include B. Kivel, Ruinan Shen, Lu He, Jianqing Ding, Yiwen Wu, Dian-you Li, Yixin Pan, Bomin Sun, Chencheng Zhang and Tao Wang. Their work appears in journals such as Journal of neurosurgery, Translational Neurodegeneration, European Journal of Neurology, Neurosurgery and Journal of Psychiatric Research.
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.