Xinyi Li
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 12
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Vestibular and auditory disorders 3
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- Functional Brain Connectivity Studies 5
- Co-authors
- Miaomiao Hou (5 shared papers)Zhibin Ding (5 shared papers)Xiaolei Liu (2 shared papers)Chong Gao (2 shared papers)Yuan Shao (1 shared paper)Xiaowen Ma (2 shared papers)Sheng‐Xiao Zhang (4 shared papers)Wenxia Li (1 shared paper)
- Journals
- Multiple Sclerosis and Related Disorders (2 papers)Frontiers in Neuroscience (2 papers)Molecular Psychiatry (2 papers)International Journal of Biological Macromolecules (1 paper)Journal of the American Heart Association (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xinyi Li
38 papers receiving 460 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 32
- Neurology 80
- Behavioral Neuroscience 14
- Developmental Neuroscience 15
- Internal Medicine 13
Countries citing papers authored by Xinyi Li
This map shows the geographic impact of Xinyi Li'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 Xinyi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyi Li more than expected).
Fields of papers citing papers by Xinyi Li
This network shows the impact of papers produced by Xinyi Li. 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 Xinyi Li. The network helps show where Xinyi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinyi Li, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2019 | 57 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 34 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2022 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2017 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2022 | 7 |
About Xinyi Li
Xinyi Li is a scholar working on Neurology, Cognitive Neuroscience, Epidemiology, Immunology and Molecular Biology, having authored 43 papers that have together received 469 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Acute Ischemic Stroke Management (6 papers), Alzheimer's disease research and treatments (5 papers), Functional Brain Connectivity Studies (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), GDF15 and Related Biomarkers (3 papers), Immune cells in cancer (3 papers) and Vestibular and auditory disorders (3 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Neurology (80 citations), Behavioral Neuroscience (14 citations), Developmental Neuroscience (15 citations) and Internal Medicine (13 citations). Xinyi Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Miaomiao Hou, Zhibin Ding, Xiaolei Liu, Chong Gao, Yuan Shao, Xiaowen Ma, Sheng‐Xiao Zhang, Wenxia Li, Yufeng Li and Xingxing Zhao. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Frontiers in Neuroscience, Molecular Psychiatry, International Journal of Biological Macromolecules and Journal of the American Heart Association.
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.