Xiaokuang Ma

588 total citations
27 papers, 393 citations indexed

About

Xiaokuang Ma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Xiaokuang Ma has authored 27 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 8 papers in Developmental Neuroscience. Recurrent topics in Xiaokuang Ma's work include Neuroscience and Neuropharmacology Research (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Receptor Mechanisms and Signaling (5 papers). Xiaokuang Ma is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Receptor Mechanisms and Signaling (5 papers). Xiaokuang Ma collaborates with scholars based in United States, China and Canada. Xiaokuang Ma's co-authors include Shenfeng Qiu, Jie Wu, Jing Wei, Yuehua Cui, Ming Gao, Deveroux Ferguson, Fenfei Gao, Ke Chen, Lingling Shi and Guanqun Huang and has published in prestigious journals such as Nature Communications, Current Biology and Biological Psychiatry.

In The Last Decade

Xiaokuang Ma

26 papers receiving 387 citations

Peers

Xiaokuang Ma
John Bohnsack United States
Xiaokuang Ma
Citations per year, relative to Xiaokuang Ma Xiaokuang Ma (= 1×) peers John Bohnsack

Countries citing papers authored by Xiaokuang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokuang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokuang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokuang Ma. A scholar is included among the top collaborators of Xiaokuang Ma 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 Xiaokuang Ma. Xiaokuang Ma 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.
Ma, Xiaokuang, Peng Chen, Bin Liu, et al.. (2025). Enhanced Spatial Transcriptomics Analysis of Mouse Lung Tissues Reveals Cell-Specific Gene Expression Changes Associated with Pulmonary Hypertension. PubMed. 2(2). 10004–10004. 1 indexed citations
2.
Wei, Jing, Xiaokuang Ma, Ross A. Johnson, et al.. (2024). SIRT1 Coordinates Transcriptional Regulation of Neural Activity and Modulates Depression-Like Behaviors in the Nucleus Accumbens. Biological Psychiatry. 96(6). 495–505. 13 indexed citations
3.
Liu, Bin, Dan Yi, Xiaokuang Ma, et al.. (2024). A Novel Animal Model for Pulmonary Hypertension: Lung Endothelial-Specific Deletion of Egln1 in Mice. PubMed. 1(2). 10007–10007.
4.
Shen, Lei, Xiaokuang Ma, Yuanyuan Wang, et al.. (2024). Loss-of-function mutation in PRMT9 causes abnormal synapse development by dysregulation of RNA alternative splicing. Nature Communications. 15(1). 2809–2809. 5 indexed citations
5.
Chen, Chang, Xiaokuang Ma, Jing Wei, et al.. (2022). Early impairment of cortical circuit plasticity and connectivity in the 5XFAD Alzheimer’s disease mouse model. Translational Psychiatry. 12(1). 371–371. 20 indexed citations
6.
Wei, Jing, et al.. (2022). Reduced HGF/MET Signaling May Contribute to the Synaptic Pathology in an Alzheimer's Disease Mouse Model. Frontiers in Aging Neuroscience. 14. 954266–954266. 7 indexed citations
7.
Chen, Chang, Jing Wei, Xiaokuang Ma, et al.. (2022). Disrupted Maturation of Prefrontal Layer 5 Neuronal Circuits in an Alzheimer’s Mouse Model of Amyloid Deposition. Neuroscience Bulletin. 39(6). 881–892. 12 indexed citations
8.
Saber, Maha, J. Bryce Ortiz, Xiaokuang Ma, et al.. (2021). Mice Born to Mothers with Gravida Traumatic Brain Injury Have Distorted Brain Circuitry and Altered Immune Responses. Journal of Neurotrauma. 38(20). 2862–2880. 8 indexed citations
9.
Xia, Baomei, Jing Wei, Xiaokuang Ma, et al.. (2021). Conditional knockout of MET receptor tyrosine kinase in cortical excitatory neurons leads to enhanced learning and memory in young adult mice but early cognitive decline in older adult mice. Neurobiology of Learning and Memory. 179. 107397–107397. 9 indexed citations
10.
Ma, Xiaokuang, Guoping Liu, Jacqueline M. Roberts, et al.. (2021). Transcriptional repression by FEZF2 restricts alternative identities of cortical projection neurons. Cell Reports. 35(12). 109269–109269. 24 indexed citations
11.
Chen, Ke, Xiaokuang Ma, Jing Wei, et al.. (2020). Time-delimited signaling of MET receptor tyrosine kinase regulates cortical circuit development and critical period plasticity. Molecular Psychiatry. 26(8). 3723–3736. 12 indexed citations
12.
Ma, Xiaokuang, Ke Chen, Yuehua Cui, et al.. (2020). Depletion of microglia in developing cortical circuits reveals its critical role in glutamatergic synapse development, functional connectivity, and critical period plasticity. Journal of Neuroscience Research. 98(10). 1968–1986. 36 indexed citations
13.
Ma, Zegang, Fenfei Gao, Ming Gao, et al.. (2019). Mechanisms of Cannabinoid CB2 Receptor-Mediated Reduction of Dopamine Neuronal Excitability in Mouse Ventral Tegmental Area. SSRN Electronic Journal. 3 indexed citations
14.
Gao, Fenfei, Ming Gao, Xiaokuang Ma, et al.. (2019). Mechanisms of cannabinoid CB2 receptor-mediated reduction of dopamine neuronal excitability in mouse ventral tegmental area. EBioMedicine. 42. 225–237. 44 indexed citations
15.
Gao, Fenfei, Xiaokuang Ma, Sterling N. Sudweeks, et al.. (2019). Alpha6-containing nicotinic acetylcholine receptor is a highly sensitive target of alcohol. Neuropharmacology. 149. 45–54. 21 indexed citations
16.
Huang, Guanqun, Shuting Chen, Xiaoxia Chen, et al.. (2019). Uncovering the Functional Link Between SHANK3 Deletions and Deficiency in Neurodevelopment Using iPSC-Derived Human Neurons. Frontiers in Neuroanatomy. 13. 23–23. 36 indexed citations
17.
Jiang, Nan, Xiaokuang Ma, J. Brek Eaton, et al.. (2019). Cocaine potently blocks neuronal α3β4 nicotinic acetylcholine receptors in SH-SY5Y cells. Acta Pharmacologica Sinica. 41(2). 163–172. 6 indexed citations
18.
Gao, Fenfei, Xiaokuang Ma, J. Brek Eaton, et al.. (2019). Cocaine Directly Inhibits α6-Containing Nicotinic Acetylcholine Receptors in Human SH-EP1 Cells and Mouse VTA DA Neurons. Frontiers in Pharmacology. 10. 72–72. 7 indexed citations
19.
Ma, Xiaokuang, et al.. (2018). Distinct Circuits for Recovery of Eye Dominance and Acuity in Murine Amblyopia. Current Biology. 28(12). 1914–1923.e5. 31 indexed citations
20.
Sun, Guozhu, Xiaokuang Ma, Shuangtao Li, et al.. (2017). Hippocampal synaptic and neural network deficits in young mice carrying the humanAPOE4gene. CNS Neuroscience & Therapeutics. 23(9). 748–758. 34 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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