Meiling Xia
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- S100 Proteins and Annexins 1
- Mitochondrial Function and Pathology 1
- Co-authors
- Gang Hu (3 shared papers)Jianhua Ding (3 shared papers)Ming Lu (2 shared papers)Ren‐Hong Du (2 shared papers)Yiming Sun (1 shared paper)Xiaojuan Han (1 shared paper)Ting Sun (1 shared paper)Si Sun (1 shared paper)
- Journals
- Journal of Neuroinflammation (2 papers)Proceedings of the National Academy of Sciences (1 paper)Pharmacological Research (1 paper)Autophagy (1 paper)CNS Neuroscience & Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Meiling Xia
6 papers receiving 505 citations
Meiling Xia's Hit Papers
Peers
Comparison fields: 5 of 75
- Biological Psychiatry 40
- Neurology 129
- Physiology 34
- Neurology 89
- Complementary and alternative medicine 42
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 | 339 |
| 2 | 2020 | 109 | |
| 3 | 2018 | 48 | |
| 4 | 2024 | 10 | |
| 5 | 2025 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 0 |
About Meiling Xia
Meiling Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Surgery and Pharmacology, having authored 7 papers that have together received 509 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cannabis and Cannabinoid Research (1 paper), Cholesterol and Lipid Metabolism (1 paper), S100 Proteins and Annexins (1 paper), Autophagy in Disease and Therapy (1 paper), Mitochondrial Function and Pathology (1 paper), Adenosine and Purinergic Signaling (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Biological Psychiatry (40 citations), Neurology (129 citations), Physiology (34 citations), Neurology (89 citations) and Complementary and alternative medicine (42 citations). Meiling Xia has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Gang Hu, Jianhua Ding, Ming Lu, Ren‐Hong Du, Yiming Sun, Xiaojuan Han, Ting Sun, Si Sun, Nanshan Song and Miaomiao Chen. Their work appears in journals such as Journal of Neuroinflammation, Proceedings of the National Academy of Sciences, Pharmacological Research, Autophagy and CNS Neuroscience & Therapeutics.
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.