Guozhao Ma

595 total citations
29 papers, 492 citations indexed

About

Guozhao Ma is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Guozhao Ma has authored 29 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Guozhao Ma's work include Neuroscience and Neuropharmacology Research (11 papers), Alzheimer's disease research and treatments (10 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Guozhao Ma is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Alzheimer's disease research and treatments (10 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Guozhao Ma collaborates with scholars based in China, United States and Singapore. Guozhao Ma's co-authors include Guoqiang Lü, Xijin Wang, Maowen Ba, Shengdi Chen, Min Kong, Shengdi Chen, Min Ye, Hongqi Yang, Shengdi Chen and Yifeng Du and has published in prestigious journals such as Brain, Brain Research and Journal of Affective Disorders.

In The Last Decade

Guozhao Ma

28 papers receiving 487 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guozhao Ma China 15 168 163 145 106 92 29 492
Joo-Young Im South Korea 9 196 1.2× 334 2.0× 206 1.4× 105 1.0× 180 2.0× 12 697
Gregor Zündorf Germany 10 185 1.1× 344 2.1× 153 1.1× 81 0.8× 74 0.8× 13 684
Mee‐Sook Song Canada 10 133 0.8× 145 0.9× 206 1.4× 71 0.7× 44 0.5× 12 437
Taiji Shimoda Japan 13 217 1.3× 287 1.8× 85 0.6× 214 2.0× 99 1.1× 17 690
Manish Verma United States 6 176 1.0× 266 1.6× 129 0.9× 90 0.8× 154 1.7× 7 533
Pierluigi Sebastiani Italy 12 103 0.6× 178 1.1× 182 1.3× 80 0.8× 30 0.3× 28 586
Hugh H. Chan United States 12 189 1.1× 154 0.9× 90 0.6× 145 1.4× 91 1.0× 24 485
Chung Ju South Korea 13 145 0.9× 286 1.8× 88 0.6× 185 1.7× 62 0.7× 27 680
M. G. R. PITTA United States 5 97 0.6× 285 1.7× 263 1.8× 81 0.8× 46 0.5× 5 694
Rafael Posada‐Duque Colombia 13 141 0.8× 180 1.1× 113 0.8× 135 1.3× 41 0.4× 22 550

Countries citing papers authored by Guozhao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Guozhao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guozhao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Guozhao Ma. A scholar is included among the top collaborators of Guozhao 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 Guozhao Ma. Guozhao 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.
2.
Zhang, Liang, Minlong Peng, Guozhao Ma, et al.. (2024). One2Set + Large Language Model: Best Partners for Keyphrase Generation. 11140–11153.
3.
Tang, Xiaohui, Jingyun Yang, Hui Sun, et al.. (2022). High PSQI score is associated with the development of dyskinesia in Parkinson’s disease. npj Parkinson s Disease. 8(1). 124–124. 6 indexed citations
4.
Kong, Min, et al.. (2020). The effect of ApoE ε 4 on clinical and structural MRI markers in prodromal Alzheimer’s disease. Quantitative Imaging in Medicine and Surgery. 10(2). 464–474. 12 indexed citations
5.
Liu, Yudong, Peng Zhang, Yabing Zheng, et al.. (2018). Effects of NMDAR Antagonist on the Regulation of P-MARCKS Protein to Aβ1−42 Oligomers Induced Neurotoxicity. Neurochemical Research. 43(10). 2008–2015. 7 indexed citations
6.
Dong, Fengyun, Ju Han, Xiaocui Chen, et al.. (2016). Dihydroartemisinin transiently activates the JNK/SAPK signaling pathway in endothelial cells. Oncology Letters. 12(6). 4699–4704. 13 indexed citations
7.
Liu, Yun‐Cai, et al.. (2016). High levels of glucose promote the activation of hepatic stellate cells via the p38-mitogen-activated protein kinase signal pathway. Genetics and Molecular Research. 15(3). 15 indexed citations
8.
Sun, Xiaogang, et al.. (2015). Family association study between melatonin receptor gene polymorphisms and polycystic ovary syndrome in Han Chinese. European Journal of Obstetrics & Gynecology and Reproductive Biology. 195. 108–112. 19 indexed citations
9.
Ma, Guozhao, et al.. (2015). Association of the p22phox polymorphism C242T with the risk of late-onset Alzheimer's disease in a northern Han Chinese population. International Journal of Neuroscience. 126(7). 1–4. 5 indexed citations
10.
Yu, Jixu, Guozhao Ma, Yifeng Du, et al.. (2014). Diazoxide Pretreatment Prevents Aβ1–42 Induced Oxidative Stress in Cholinergic Neurons Via Alleviating NOX2 Expression. Neurochemical Research. 39(7). 1313–1321. 15 indexed citations
11.
Zhu, Jin, et al.. (2012). Effects of diazoxide on Aβ1-42-induced expression of the NR2B subunit in cultured cholinergic neurons. Molecular Medicine Reports. 12(6). 8301–8305. 1 indexed citations
12.
Ma, Guozhao, et al.. (2009). Diazoxide Reverses the Enhanced Expression of KATP Subunits in Cholinergic Neurons Caused by Exposure to Aβ1-42. Neurochemical Research. 34(12). 2133–2140. 14 indexed citations
13.
Ma, Guozhao, Yong Zhang, Jinjiao Jiang, et al.. (2008). Effects of Aβ1–42 on the Subunits of KATP Expression in Cultured Primary Rat Basal Forebrain Neurons. Neurochemical Research. 33(7). 1419–1424. 14 indexed citations
14.
Yang, Hongqi, Jing Pan, Maowen Ba, et al.. (2007). New protein kinase C activator regulates amyloid precursor protein processing in vitro by increasing α‐secretase activity. European Journal of Neuroscience. 26(2). 381–391. 34 indexed citations
15.
Ba, Maowen, Min Kong, Hongqi Yang, et al.. (2006). Changes in Subcellular Distribution and Phosphorylation of GluR1 in Lesioned Striatum of 6-Hydroxydopamine-Lesioned and l-dopa-Treated Rats. Neurochemical Research. 31(11). 1337–1347. 41 indexed citations
16.
Ba, Maowen, Min Kong, Guozhao Ma, et al.. (2006). Cellular and behavioral effects of 5-HT1A receptor agonist 8-OH-DPAT in a rat model of levodopa-induced motor complications. Brain Research. 1127(1). 177–184. 22 indexed citations
17.
Ma, Guozhao, Shengdi Chen, Xijin Wang, et al.. (2005). Short‐term interleukin‐1β increases the release of secreted APPα via MEK1/2‐dependent and JNK‐dependent α‐secretase cleavage in neuroglioma U251 cells. Journal of Neuroscience Research. 80(5). 683–692. 24 indexed citations
18.
Wang, Xijin, Shengdi Chen, Guozhao Ma, Min Ye, & Guoqiang Lü. (2005). Genistein protects dopaminergic neurons by inhibiting microglial activation. Neuroreport. 16(3). 267–270. 84 indexed citations
19.
Wang, Xijin, et al.. (2005). Involvement of proinflammatory factors, apoptosis, caspase-3 activation and Ca2+ disturbance in microglia activation-mediated dopaminergic cell degeneration. Mechanisms of Ageing and Development. 126(12). 1241–1254. 71 indexed citations
20.
Ma, Guozhao & Shengdi Chen. (2004). Diazoxide and Nω-nitro-L-arginine counteracted Aβ1-42-induced cytotoxicity. Neuroreport. 15(11). 1813–1817. 10 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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