Cun‐Gen Ma

4.1k total citations
136 papers, 3.0k citations indexed

About

Cun‐Gen Ma is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cun‐Gen Ma has authored 136 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 46 papers in Neurology and 30 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cun‐Gen Ma's work include Neuroinflammation and Neurodegeneration Mechanisms (39 papers), Neurogenesis and neuroplasticity mechanisms (21 papers) and Neurological Disease Mechanisms and Treatments (15 papers). Cun‐Gen Ma is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (39 papers), Neurogenesis and neuroplasticity mechanisms (21 papers) and Neurological Disease Mechanisms and Treatments (15 papers). Cun‐Gen Ma collaborates with scholars based in China, United States and Hong Kong. Cun‐Gen Ma's co-authors include Bao‐Guo Xiao, Jie‐Zhong Yu, Yànhuá Lǐ, Guang‐Xian Zhang, Chunyun Liu, Minfang Guo, Lijuan Song, Zhi Chai, Qing Wang and Jian Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Cun‐Gen Ma

128 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cun‐Gen Ma China 32 1.1k 823 616 540 532 136 3.0k
Won‐Ha Lee South Korea 37 1.4k 1.3× 999 1.2× 1.5k 2.4× 349 0.6× 411 0.8× 119 4.2k
Ning Jiang China 29 1.6k 1.5× 1.4k 1.8× 639 1.0× 618 1.1× 289 0.5× 90 4.2k
Kelly L. Jordan‐Sciutto United States 31 1.5k 1.3× 549 0.7× 237 0.4× 470 0.9× 518 1.0× 85 3.1k
Roman Fischer Germany 26 665 0.6× 547 0.7× 626 1.0× 239 0.4× 472 0.9× 47 2.4k
Veit Rothhammer Germany 23 1.1k 1.0× 777 0.9× 1.1k 1.8× 203 0.4× 369 0.7× 60 3.3k
Marjan Gharagozloo Iran 28 816 0.7× 572 0.7× 682 1.1× 296 0.5× 241 0.5× 72 2.7k
Michael Fricker Australia 33 1.5k 1.3× 745 0.9× 1.1k 1.8× 343 0.6× 1.1k 2.1× 71 4.1k
S Hu United States 18 734 0.7× 988 1.2× 584 0.9× 445 0.8× 508 1.0× 23 2.3k
Yong‐Sun Kim South Korea 37 2.4k 2.1× 1.0k 1.3× 310 0.5× 341 0.6× 533 1.0× 151 3.9k
Yingjun Liu China 26 1.0k 0.9× 585 0.7× 242 0.4× 403 0.7× 283 0.5× 98 2.7k

Countries citing papers authored by Cun‐Gen Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cun‐Gen Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cun‐Gen Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Cun‐Gen Ma. A scholar is included among the top collaborators of Cun‐Gen 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 Cun‐Gen Ma. Cun‐Gen 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, Cun‐Gen, Xinyang Li, Huajun Sun, et al.. (2025). Robotic arm-assisted additive manufacturing of continuous SiCf/SiC ceramic matrix composites with high performance via precursor infiltration and pyrolysis. Journal of the European Ceramic Society. 46(4). 117914–117914. 1 indexed citations
2.
3.
Ma, Dong, et al.. (2025). Hydroxysafflor yellow A inhibits neuronal ferroptosis and ferritinophagy in ischemic stroke. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1871(6). 167867–167867. 2 indexed citations
4.
Liu, Jian, Ying Chen, Ying Liang, et al.. (2025). Proanthocyanidin B2 Alleviates Cuprizone‐Induced Demyelination by Regulating the Astrocytic xCT/GSH/GPX4 Axis. CNS Neuroscience & Therapeutics. 31(9). e70598–e70598.
5.
Song, Lijuan, Jing Hua, Maohua Rong, et al.. (2025). Hydroxysafflower yellow A alleviates the inflammatory response in astrocytes following cerebral ischemia by inhibiting the LCN2/STAT3 feedback loop. Metabolic Brain Disease. 40(4). 161–161. 1 indexed citations
6.
Ma, Cun‐Gen, Youyuan Wang, Qian Cao, et al.. (2025). Tribological behavior and mechanism of high-temperature self-lubricating wear-resistant composite coatings on 3D-printed SiC ceramic surfaces. Journal of the European Ceramic Society. 45(13). 117473–117473. 2 indexed citations
7.
Zhang, Hong, et al.. (2025). Design model of UHMWPE ballistic armor: A comparative study of the U.S. and Chinese military protection standards. International Journal of Impact Engineering. 208. 105516–105516.
8.
9.
Yan, Yuqing, et al.. (2024). Exosomal MicroRNAs modulate the cognitive function in fasudil treated APPswe/PSEN1dE9 transgenic (APP/PS1) mice model of Alzheimer’s disease. Metabolic Brain Disease. 39(7). 1335–1351. 6 indexed citations
10.
Li, Xiaohui, Zhibin Ding, Qing Wang, et al.. (2023). The astrocytic phagocytosis of myelin debris and reactive characteristics in vivo and in vitro. Journal of the Neurological Sciences. 455. 121090–121090. 1 indexed citations
11.
Li, Na, Minfang Guo, Tao Meng, et al.. (2023). [Eriodictyol improves cognitive function in 5×FAD mice of Alzheimer's disease by inhibiting the microglia NLRP3 inflammasome signaling pathway].. PubMed. 39(11). 973–980. 1 indexed citations
12.
Pan, Tao, Huijie Fan, Xu Wang, et al.. (2022). Neuroprotective effect of hyperoside in MPP+/MPTP -induced dopaminergic neurodegeneration. Metabolic Brain Disease. 38(3). 1035–1050. 11 indexed citations
13.
Li, Yanrong, Mengying Sun, Wei Hang, et al.. (2022). Wuzi Yanzong Pill relieves CPZ-induced demyelination by improving the microenvironment in the brain. Heliyon. 8(12). e12277–e12277. 8 indexed citations
14.
Zhang, Yuan, Xinyu Lu, Bogoljub Ćirić, et al.. (2019). Combination Therapy With Fingolimod and Neural Stem Cells Promotes Functional Myelination in vivo Through a Non-immunomodulatory Mechanism. Frontiers in Cellular Neuroscience. 13. 14–14. 6 indexed citations
15.
Wang, Qing, Yànhuá Lǐ, Jianguo Zhao, et al.. (2017). Graphene-Based Nanomaterials: Potential Tools for Neurorepair. Current Pharmaceutical Design. 24(1). 56–61. 8 indexed citations
16.
Xiong, Wenhui, Xingjie Ping, Matthew S. Ripsch, et al.. (2017). Enhancing excitatory activity of somatosensory cortex alleviates neuropathic pain through regulating homeostatic plasticity. eScholarship (California Digital Library).
17.
Wáng, Qīng, et al.. (2016). The Pharmacological Effects and Mechanism of Tripterygium wilfordii Hook F in Central Nervous System Autoimmunity. The Journal of Alternative and Complementary Medicine. 22(7). 496–502. 22 indexed citations
18.
Zhang, Peijun, Minfang Guo, Yanxia Xing, et al.. (2016). [Immunomodulatory effect of Huangqi glycoprotein on mice with experimental autoimmune encephalomyelitis].. PubMed. 32(1). 54–8. 1 indexed citations
19.
Li, Yanhua, Jingwen Yu, Wenbo Yu, et al.. (2016). Fasudil Enhances Therapeutic Efficacy of Neural Stem Cells in the Mouse Model of MPTP-Induced Parkinson’s Disease. Molecular Neurobiology. 54(7). 5400–5413. 22 indexed citations
20.
Guo, Minfang, Jie‐Zhong Yu, & Cun‐Gen Ma. (2011). Review article Mechanisms related to neuron injury and death in cerebral hypoxic ischaemia. Folia Neuropathologica. 49(2). 79–87. 8 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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