Mingshu Mo

1.1k total citations
31 papers, 751 citations indexed

About

Mingshu Mo is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mingshu Mo has authored 31 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 14 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mingshu Mo's work include Parkinson's Disease Mechanisms and Treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Nuclear Receptors and Signaling (5 papers). Mingshu Mo is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Nuclear Receptors and Signaling (5 papers). Mingshu Mo collaborates with scholars based in China, United States and Netherlands. Mingshu Mo's co-authors include Pingyi Xu, Long‐Jun Wu, Madhuvika Murugan, David J. Margolis, Ukpong B. Eyo, Wenyuan Guo, Miaomiao Zhou, Shaomin Li, Shuxuan Huang and Yousheng Xiao and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Journal of Neurochemistry.

In The Last Decade

Mingshu Mo

31 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingshu Mo China 14 386 199 179 173 153 31 751
Hey‐Kyeong Jeong South Korea 14 283 0.7× 198 1.0× 134 0.7× 178 1.0× 113 0.7× 16 578
Lihong Zhan United States 15 552 1.4× 338 1.7× 150 0.8× 136 0.8× 240 1.6× 15 1.1k
Stefka Gyoneva United States 14 607 1.6× 355 1.8× 220 1.2× 169 1.0× 209 1.4× 20 1.0k
Benjamin Schattling Germany 12 200 0.5× 375 1.9× 130 0.7× 116 0.7× 145 0.9× 13 945
Maya K. Weigel United States 5 421 1.1× 271 1.4× 137 0.8× 152 0.9× 122 0.8× 6 742
Luc Grandbarbe Luxembourg 11 500 1.3× 340 1.7× 145 0.8× 206 1.2× 197 1.3× 13 972
Veselin Grozdanov Germany 12 337 0.9× 210 1.1× 457 2.6× 204 1.2× 67 0.4× 19 775
Emily F. Willis Australia 9 345 0.9× 313 1.6× 181 1.0× 93 0.5× 162 1.1× 13 776
Matthew L. Neal United States 9 244 0.6× 220 1.1× 188 1.1× 116 0.7× 136 0.9× 11 649
Kevin A. Guttenplan United States 8 605 1.6× 388 1.9× 170 0.9× 236 1.4× 181 1.2× 9 1.1k

Countries citing papers authored by Mingshu Mo

Since Specialization
Citations

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

Fields of papers citing papers by Mingshu Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingshu Mo. 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 Mingshu Mo. The network helps show where Mingshu Mo may publish in the future.

Co-authorship network of co-authors of Mingshu Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Mingshu Mo. A scholar is included among the top collaborators of Mingshu Mo 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 Mingshu Mo. Mingshu Mo 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.
Qiu, Jiewen, et al.. (2023). Lipid Metabolism Disorder in Cerebrospinal Fluid Related to Parkinson’s Disease. Brain Sciences. 13(8). 1166–1166. 11 indexed citations
2.
Qiu, Jiewen, Shiyin Li, Yunxin Wang, et al.. (2023). Lipid profiles in the cerebrospinal fluid of rats with 6-hydroxydopamine-induced lesions as a model of Parkinson’s disease. Frontiers in Aging Neuroscience. 14. 1077738–1077738. 8 indexed citations
3.
Tao, Kai, Mingshu Mo, Wenyuan Guo, et al.. (2022). Chaperone-mediated Autophagy Regulates Cell Growth by Targeting SMAD3 in Glioma. Neuroscience Bulletin. 38(6). 637–651. 5 indexed citations
4.
Eyo, Ukpong B., Koichiro Haruwaka, Mingshu Mo, et al.. (2021). Microglia provide structural resolution to injured dendrites after severe seizures. Cell Reports. 35(5). 109080–109080. 30 indexed citations
5.
Li, Fei, Wenlong Zhang, Yuwan Lin, et al.. (2021). A Novel Hydrogen Sulfide Donor Reduces Pilocarpine-Induced Status Epilepticus and Regulates Microglial Inflammatory Profile. Frontiers in Cellular Neuroscience. 15. 780447–780447. 10 indexed citations
6.
Lin, Yuwan, Miaomiao Zhou, Wei Dai, et al.. (2021). Bone-Derived Factors as Potential Biomarkers for Parkinson’s Disease. Frontiers in Aging Neuroscience. 13. 634213–634213. 17 indexed citations
7.
Mo, Mingshu, Ukpong B. Eyo, Manling Xie, et al.. (2019). Microglial P2Y12 Receptor Regulates Seizure-Induced Neurogenesis and Immature Neuronal Projections. Journal of Neuroscience. 39(47). 9453–9464. 65 indexed citations
8.
Guo, Wenyuan, Miaomiao Zhou, Jiewen Qiu, et al.. (2019). Association of LAG3 genetic variation with an increased risk of PD in Chinese female population. Journal of Neuroinflammation. 16(1). 270–270. 33 indexed citations
9.
Chen, Xiang, Yousheng Xiao, Miaomiao Zhou, et al.. (2019). Genetic analysis of NUS1 in Chinese patients with Parkinson's disease. Neurobiology of Aging. 86. 202.e5–202.e6. 12 indexed citations
10.
Sun, Congcong, et al.. (2019). Abnormal subpopulations of peripheral blood lymphocytes are involved in Parkinson’s disease. Annals of Translational Medicine. 7(22). 637–637. 43 indexed citations
11.
Qiu, Jiewen, Miaomiao Zhou, Shuxuan Huang, et al.. (2019). Analysis of Cerebrospinal Fluid Soluble TREM2 and Polymorphisms in Sporadic Parkinson’s Disease in a Chinese Population. Journal of Molecular Neuroscience. 70(2). 294–301. 20 indexed citations
12.
Xiao, Yousheng, Xiang Chen, Shuxuan Huang, et al.. (2018). Iron promotes α‐synuclein aggregation and transmission by inhibiting TFEB‐mediated autophagosome‐lysosome fusion. Journal of Neurochemistry. 145(1). 34–50. 50 indexed citations
13.
Mo, Mingshu, Guihua Li, Congcong Sun, et al.. (2018). Dopaminergic neurons show increased low-molecular-mass protein 7 activity induced by 6-hydroxydopamine in vitro and in vivo. Translational Neurodegeneration. 7(1). 19–19. 10 indexed citations
14.
Eyo, Ukpong B., Mingshu Mo, Min‐Hee Yi, et al.. (2018). P2Y12R-Dependent Translocation Mechanisms Gate the Changing Microglial Landscape. Cell Reports. 23(4). 959–966. 86 indexed citations
15.
Guo, Wenyuan, Miaomiao Zhou, Shuxuan Huang, et al.. (2018). Relationship between variants of 17 newly loci and Parkinson's disease in a Chinese population. Neurobiology of Aging. 73. 230.e1–230.e4. 7 indexed citations
16.
Cen, Luan, Shuxuan Huang, Miaomiao Zhou, et al.. (2017). Peripheral Lymphocyte Subsets as a Marker of Parkinson’s Disease in a Chinese Population. Neuroscience Bulletin. 33(5). 493–500. 44 indexed citations
17.
Chen, Li, Mingshu Mo, Guangning Li, et al.. (2016). The biomarkers of immune dysregulation and inflammation response in Parkinson disease. Translational Neurodegeneration. 5(1). 16–16. 41 indexed citations
18.
Eyo, Ukpong B, Jiyun Peng, Madhuvika Murugan, et al.. (2016). Regulation of Physical Microglia–Neuron Interactions by Fractalkine Signaling after Status Epilepticus. eNeuro. 3(6). ENEURO.0209–16.2016. 87 indexed citations
19.
Cen, Luan, Yousheng Xiao, Lei Wei, et al.. (2016). Association of DYRK1A polymorphisms with sporadic Parkinson’s disease in Chinese Han population. Neuroscience Letters. 632. 39–43. 16 indexed citations
20.
Xie, Juan, Ming Chen, Jing Zhou, et al.. (2014). miR-7 inhibits the invasion and metastasis of gastric cancer cells by suppressing epidermal growth factor receptor expression. Oncology Reports. 31(4). 1715–1722. 73 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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