Mei-Xue Dong

2.0k total citations
39 papers, 1.5k citations indexed

About

Mei-Xue Dong is a scholar working on Neurology, Physiology and Biological Psychiatry. According to data from OpenAlex, Mei-Xue Dong has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 12 papers in Physiology and 11 papers in Biological Psychiatry. Recurrent topics in Mei-Xue Dong's work include Tryptophan and brain disorders (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Mei-Xue Dong is often cited by papers focused on Tryptophan and brain disorders (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Mei-Xue Dong collaborates with scholars based in China, Saudi Arabia and Thailand. Mei-Xue Dong's co-authors include Jianjun Chen, Youdong Wei, Xiaomin Xu, Peng Xie, Peng Zheng, Ling Hu, Junxi Pan, Yuan-Jun Huang, Qi Li and Peng Xie and has published in prestigious journals such as PLoS ONE, Stroke and Scientific Reports.

In The Last Decade

Mei-Xue Dong

39 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei-Xue Dong China 22 499 451 395 366 302 39 1.5k
Libo Zhao China 22 399 0.8× 211 0.5× 391 1.0× 191 0.5× 233 0.8× 65 1.2k
Qinyong Ye China 24 617 1.2× 421 0.9× 148 0.4× 132 0.4× 378 1.3× 83 1.7k
Matthew Boyko Israel 24 416 0.8× 319 0.7× 163 0.4× 296 0.8× 258 0.9× 95 1.7k
Jun Mu China 22 493 1.0× 135 0.3× 391 1.0× 120 0.3× 232 0.8× 43 1.5k
Matthew J. Robson United States 28 977 2.0× 333 0.7× 328 0.8× 310 0.8× 144 0.5× 60 2.1k
Benjamin F. Gruenbaum United States 24 362 0.7× 275 0.6× 115 0.3× 233 0.6× 223 0.7× 91 1.5k
Ashley Wallace United States 12 251 0.5× 261 0.6× 78 0.2× 289 0.8× 428 1.4× 17 1.5k
Liborio Rampello Italy 23 234 0.5× 282 0.6× 138 0.3× 350 1.0× 234 0.8× 80 1.6k
Paul J. Pistell United States 19 711 1.4× 166 0.4× 217 0.5× 302 0.8× 875 2.9× 31 2.3k
Elizabeth M. Rhea United States 22 579 1.2× 415 0.9× 166 0.4× 159 0.4× 714 2.4× 49 2.2k

Countries citing papers authored by Mei-Xue Dong

Since Specialization
Citations

This map shows the geographic impact of Mei-Xue Dong'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 Mei-Xue Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei-Xue Dong more than expected).

Fields of papers citing papers by Mei-Xue Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Xue Dong. 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 Mei-Xue Dong. The network helps show where Mei-Xue Dong may publish in the future.

Co-authorship network of co-authors of Mei-Xue Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Xue Dong. A scholar is included among the top collaborators of Mei-Xue Dong 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 Mei-Xue Dong. Mei-Xue Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Guanghui, Wenbin Zhang, Dongyan Li, Jian Song, & Mei-Xue Dong. (2024). Testosterone synthesis was inhibited in the testis metabolomics of a depression mouse model. Journal of Affective Disorders. 350. 627–635. 6 indexed citations
2.
Chen, Guang‐Hui, et al.. (2024). Geniposide exerts the antidepressant effect by affecting inflammation and glucose metabolism in a mouse model of depression. Chemico-Biological Interactions. 400. 111182–111182. 6 indexed citations
4.
Hu, Feng, Feng Lü, Huiling Xiao, Mei-Xue Dong, & Xu Yan. (2022). Relationship Between Hypertension and Basilar Atherosclerosis in Chinese Han Population: A High-Resolution Magnetic Resonance Imaging Study. Frontiers in Cardiovascular Medicine. 9. 830664–830664. 1 indexed citations
5.
Dong, Mei-Xue, Qing Wang, Junfeng Xu, et al.. (2022). Case report: Recreational nitrous oxide abuse triggered peripheral neuropathy possibly through the immune-mediated pathogenesis. Frontiers in Neurology. 13. 1033327–1033327. 3 indexed citations
6.
Dong, Mei-Xue, Guanghui Chen, & Ling Hu. (2020). Dopaminergic System Alteration in Anxiety and Compulsive Disorders: A Systematic Review of Neuroimaging Studies. Frontiers in Neuroscience. 14. 608520–608520. 24 indexed citations
7.
Hu, Ling, Mei-Xue Dong, Yanling Huang, et al.. (2020). Integrated Metabolomics and Proteomics Analysis Reveals Plasma Lipid Metabolic Disturbance in Patients With Parkinson’s Disease. Frontiers in Molecular Neuroscience. 13. 80–80. 56 indexed citations
8.
Chen, Guang‐Hui, et al.. (2020). A novel hippocampus metabolite signature in diabetes mellitus rat model of diabetic encephalopathy. Metabolic Brain Disease. 35(6). 895–904. 18 indexed citations
9.
Li, Bo, Li Zeng, Benhua Zeng, et al.. (2018). Metabolite identification in fecal microbiota transplantation mouse livers and combined proteomics with chronic unpredictive mild stress mouse livers. Translational Psychiatry. 8(1). 34–34. 74 indexed citations
10.
Shen, Peng, Shunjie Bai, Mei-Xue Dong, et al.. (2018). Metabolite-related antidepressant action of diterpene ginkgolides in the prefrontal cortex. Neuropsychiatric Disease and Treatment. Volume 14. 999–1011. 25 indexed citations
11.
Liu, Yang, et al.. (2018). Increased Serum Alkaline Phosphatase in Patients with Acute Ischemic Stroke. Journal of Stroke and Cerebrovascular Diseases. 28(1). 21–25. 12 indexed citations
12.
Liang, Xue, et al.. (2018). SIRT1: The Value of Functional Outcome, Stroke-Related Dementia, Anxiety, and Depression in Patients with Acute Ischemic Stroke. Journal of Stroke and Cerebrovascular Diseases. 28(1). 205–212. 11 indexed citations
13.
Liu, Yang, et al.. (2017). Treatment of insomnia with tricyclic antidepressants: a meta-analysis of polysomnographic randomized controlled trials. Sleep Medicine. 34. 126–133. 29 indexed citations
14.
Xu, Xiaomin, et al.. (2017). Tricyclic antidepressants for preventing migraine in adults. Medicine. 96(22). e6989–e6989. 28 indexed citations
15.
Xu, Xiaomin, et al.. (2017). Complementary and alternative therapies for restless legs syndrome: An evidence-based systematic review. Sleep Medicine Reviews. 38. 158–167. 43 indexed citations
16.
Dong, Mei-Xue, et al.. (2017). Cerebrovascular risk factors for patients with cerebral watershed infarction. Medicine. 96(28). e7505–e7505. 13 indexed citations
17.
Dong, Mei-Xue, Chenmeng Li, Peng Shen, et al.. (2017). Recombinant tissue plasminogen activator induces long-term anxiety-like behaviors via the ERK1/2-GAD1-GABA cascade in the hippocampus of a rat model. Neuropharmacology. 128. 119–131. 16 indexed citations
19.
Li, Qi, Yuan-Jun Huang, Mei-Xue Dong, et al.. (2015). Blend Sign on Computed Tomography. Stroke. 46(8). 2119–2123. 225 indexed citations
20.
Li, Qi, Yuan-Jun Huang, Fajin Lv, et al.. (2015). Intraventricular Hemorrhage and Early Hematoma Expansion in Patients with Intracerebral Hemorrhage. Scientific Reports. 5(1). 11357–11357. 33 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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