Wanlin Yang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
- Neurology 12
- Parkinson's Disease Mechanisms and Treatments 9
- Neurological diseases and metabolism 3
- Intracerebral and Subarachnoid Hemorrhage Research 3
- Co-authors
- Qing Wang (9 shared papers)Kijung Sung (7 shared papers)Chengbiao Wu (7 shared papers)Zihan Chang (4 shared papers)Zifeng Huang (4 shared papers)Jianqing Ding (5 shared papers)Yanyun Zhang (8 shared papers)Shuzhen Zhu (5 shared papers)
- Journals
- Frontiers in Aging Neuroscience (3 papers)Scientific Reports (2 papers)Aging and Disease (2 papers)Aging (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wanlin Yang
36 papers receiving 743 citations
Peers
Comparison fields: 5 of 92
- Biological Psychiatry 35
- Neurology 108
- Neurology 160
- Cellular and Molecular Neuroscience 125
- Physiology 119
Countries citing papers authored by Wanlin Yang
This map shows the geographic impact of Wanlin Yang'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 Wanlin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanlin Yang more than expected).
Fields of papers citing papers by Wanlin Yang
This network shows the impact of papers produced by Wanlin Yang. 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 Wanlin Yang. The network helps show where Wanlin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanlin Yang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2017 | 71 | |
| 3 | 2023 | 51 | |
| 4 | 2020 | 47 | |
| 5 | 2020 | 47 | |
| 6 | 2020 | 37 | |
| 7 | 2021 | 36 | |
| 8 | 2018 | 36 | |
| 9 | 2020 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2018 | 30 | |
| 12 | 2019 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 17 | |
| 15 | 2022 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2013 | 12 |
About Wanlin Yang
Wanlin Yang is a scholar working on Neurology, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Physiology, having authored 38 papers that have together received 749 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (9 papers), Nerve injury and regeneration (5 papers), Pain Mechanisms and Treatments (4 papers), Hereditary Neurological Disorders (4 papers), Neurological diseases and metabolism (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Immune cells in cancer (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Neurology (108 citations), Neurology (160 citations), Cellular and Molecular Neuroscience (125 citations) and Physiology (119 citations). Wanlin Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qing Wang, Kijung Sung, Chengbiao Wu, Zihan Chang, Zifeng Huang, Jianqing Ding, Yanyun Zhang, Shuzhen Zhu, Yi Fu and Eng‐King Tan. Their work appears in journals such as Frontiers in Aging Neuroscience, Scientific Reports, Aging and Disease, Aging and Cell Death and Disease.
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.