Meiling Xia
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Neurological Disease Mechanisms and Treatments 1
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- Nerve injury and regeneration 1
- Neuropeptides and Animal Physiology 1
- Co-authors
- Jianhua Ding (3 shared papers)Gang Hu (3 shared papers)Ming Lu (2 shared papers)Ren‐Hong Du (2 shared papers)Miaomiao Chen (1 shared paper)Qiqi Song (1 shared paper)Ting Sun (1 shared paper)Yiming Sun (1 shared paper)
- Journals
- Journal of Neuroinflammation (2 papers)Pharmacological Research (1 paper)Autophagy (1 paper)CNS Neuroscience & Therapeutics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaSwedenSaudi Arabia
In The Last Decade
Meiling Xia
5 papers receiving 479 citations
Meiling Xia's Hit Papers
Peers
Comparison fields: 5 of 76
- Neurology 152
- Biological Psychiatry 44
- Physiology 38
- Neurology 98
- Complementary and alternative medicine 48
Countries citing papers authored by Meiling Xia
This map shows the geographic impact of Meiling Xia'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 Meiling Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Xia more than expected).
Fields of papers citing papers by Meiling Xia
This network shows the impact of papers produced by Meiling Xia. 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 Meiling Xia. The network helps show where Meiling Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Xia, 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 | Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease Hit paper breakdown → | 2019 | 325 |
| 2 | 2020 | 102 | |
| 3 | 2018 | 48 | |
| 4 | 2024 | 6 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 0 |
About Meiling Xia
Meiling Xia is a scholar working on Neurology, Cellular and Molecular Neuroscience, Surgery, Molecular Biology and Pharmacology, having authored 6 papers that have together received 483 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Adenosine and Purinergic Signaling (1 paper), Nerve injury and regeneration (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Cholesterol and Lipid Metabolism (1 paper), Stress Responses and Cortisol (1 paper), S100 Proteins and Annexins (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Neurology (152 citations), Biological Psychiatry (44 citations), Physiology (38 citations), Neurology (98 citations) and Complementary and alternative medicine (48 citations). Meiling Xia has collaborated with scholars based in China, Sweden and Saudi Arabia. Frequent co-authors include Jianhua Ding, Gang Hu, Ming Lu, Ren‐Hong Du, Miaomiao Chen, Qiqi Song, Ting Sun, Yiming Sun, Si Sun and Honghong Yao. Their work appears in journals such as Journal of Neuroinflammation, Pharmacological Research, Autophagy, CNS Neuroscience & Therapeutics and Proceedings of the National Academy of Sciences.
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.