Meiling Xia

609 total citations · 1 hit paper
6 papers, 483 citations indexed

About

Meiling Xia is a scholar working on Neurology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Meiling Xia has authored 6 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Surgery. Recurrent topics in Meiling Xia's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Stress Responses and Cortisol (1 paper) and Cannabis and Cannabinoid Research (1 paper). Meiling Xia is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Stress Responses and Cortisol (1 paper) and Cannabis and Cannabinoid Research (1 paper). Meiling Xia collaborates with scholars based in China, Sweden and Saudi Arabia. Meiling Xia's co-authors include Gang Hu, Jianhua Ding, Ming Lu, Ren‐Hong Du, Nanshan Song, Honghong Yao, Si Sun, Yiming Sun, Jialei Zhu and Ting Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Autophagy and Pharmacological Research.

In The Last Decade

Meiling Xia

5 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease

2019 325 citations Xiaojuan Han, Si Sun et al. Autophagy profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Meiling Xia China	4	229	152	107	98	76	6	483
Qian-Hang Shao China	13	240 1.0×	122 0.8×	54 0.5×	117 1.2×	52 0.7×	20	506
Jiezhong Yu China	7	161 0.7×	146 1.0×	74 0.7×	61 0.6×	119 1.6×	16	386
Jigar Modi United States	12	200 0.9×	106 0.7×	85 0.8×	72 0.7×	98 1.3×	18	537
Jiankang Huang China	13	287 1.3×	137 0.9×	53 0.5×	42 0.4×	99 1.3×	23	542
Mahbuba Akther South Korea	10	343 1.5×	123 0.8×	62 0.6×	109 1.1×	67 0.9×	13	546
Sha Tan China	12	113 0.5×	155 1.0×	62 0.6×	73 0.7×	69 0.9×	25	433
Zhengwei Hu China	13	320 1.4×	116 0.8×	53 0.5×	123 1.3×	184 2.4×	37	642
Xiaomeng Ma China	13	277 1.2×	160 1.1×	41 0.4×	43 0.4×	86 1.1×	23	609
Dianxu Yang China	15	202 0.9×	116 0.8×	84 0.8×	224 2.3×	57 0.8×	26	566
Zhen-Nan Ye China	12	248 1.1×	168 1.1×	92 0.9×	198 2.0×	62 0.8×	19	593

Countries citing papers authored by Meiling Xia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Meiling Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Xia. A scholar is included among the top collaborators of Meiling Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meiling Xia. Meiling Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Xia, Meiling, Tianyao Liu, Hong Gong, et al.. (2025). Naringin Alleviates Autistic‐Like Behaviors in BTBR Mice Through Cannabinoid Receptor Type 1‐Mediated Restoration of Hippocampal Neurogenesis. CNS Neuroscience & Therapeutics. 31(12). e70654–e70654.

2.

Luo, Yi, Tianyao Liu, Meiling Xia, et al.. (2025). Inactivation of microglial LXRβ in early postnatal mice impairs microglia homeostasis and causes long-lasting cognitive dysfunction. Proceedings of the National Academy of Sciences. 122(15). e2410698122–e2410698122. 2 indexed citations

3.

Gong, Hong, Yi Luo, Li‐Da Wu, et al.. (2024). Targeting S100A9 attenuates social dysfunction by modulating neuroinflammation and myelination in a mouse model of autism. Pharmacological Research. 211. 107568–107568. 6 indexed citations

4.

Xia, Meiling, et al.. (2020). Astragaloside IV inhibits astrocyte senescence: implication in Parkinson’s disease. Journal of Neuroinflammation. 17(1). 105–105. 102 indexed citations

5.

Han, Xiaojuan, Si Sun, Yiming Sun, et al.. (2019). Small molecule-driven NLRP3 inflammation inhibition via interplay between ubiquitination and autophagy: implications for Parkinson disease. Autophagy. 15(11). 1860–1881. 325 indexed citations breakdown →

6.

Du, Ren‐Hong, Yan Zhou, Meiling Xia, et al.. (2018). α-Synuclein disrupts the anti-inflammatory role of Drd2 via interfering β-arrestin2-TAB1 interaction in astrocytes. Journal of Neuroinflammation. 15(1). 258–258. 48 indexed citations

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.

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