Dening Guan

440 total citations
10 papers, 378 citations indexed

About

Dening Guan is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Dening Guan has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Neurology. Recurrent topics in Dening Guan's work include Alzheimer's disease research and treatments (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Functional Brain Connectivity Studies (2 papers). Dening Guan is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Functional Brain Connectivity Studies (2 papers). Dening Guan collaborates with scholars based in China and United States. Dening Guan's co-authors include Yun Xu, PingLei Pan, Yang Zhang, Hui Zhan, Mingxu Xia, Xiaolei Zhu, Jiali Jin, Yun Luo, Xin Zhang and Fengnan Niu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Dening Guan

10 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dening Guan China	8	106	92	84	83	66	10	378
Liangyu Zou China	13	104 1.0×	42 0.5×	22 0.3×	170 2.0×	84 1.3×	33	402
Norimichi Nakamura Japan	8	192 1.8×	57 0.6×	37 0.4×	116 1.4×	82 1.2×	13	365
Wanda Łojkowska Poland	12	183 1.7×	45 0.5×	33 0.4×	125 1.5×	118 1.8×	19	479
Maria Antonietta Di Tullio Italy	13	84 0.8×	25 0.3×	30 0.4×	114 1.4×	141 2.1×	17	438
Kusum Sinha India	11	137 1.3×	29 0.3×	31 0.4×	154 1.9×	204 3.1×	16	653
Douglas E. McBean United Kingdom	15	54 0.5×	35 0.4×	45 0.5×	111 1.3×	72 1.1×	25	512
Francisney Pinto do Nascimento Brazil	15	188 1.8×	31 0.3×	26 0.3×	110 1.3×	26 0.4×	20	428
Javad Hami Iran	15	132 1.2×	17 0.2×	45 0.5×	120 1.4×	94 1.4×	42	613
Guoying Li China	14	121 1.1×	13 0.1×	122 1.5×	67 0.8×	114 1.7×	30	562
Kushal Kumar India	10	97 0.9×	26 0.3×	35 0.4×	163 2.0×	54 0.8×	11	421

Countries citing papers authored by Dening Guan

Since Specialization

Citations

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

Fields of papers citing papers by Dening Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dening Guan

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

All Works

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10 of 10 papers shown

Pan, PingLei, et al.. (2017). Abnormalities of regional brain function in Parkinson’s disease: a meta-analysis of resting state functional magnetic resonance imaging studies. Scientific Reports. 7(1). 40469–40469. 42 indexed citations

Zhang, Yang, Jiayong Wu, Wenbo Wu, et al.. (2017). Reduction of white matter integrity correlates with apathy in Parkinson's disease. International Journal of Neuroscience. 128(1). 25–31. 21 indexed citations

Luo, Yun, Jingwei Li, Li Zheng, et al.. (2016). Imaging distribution characteristics of cerebral infarction with diabetes mellitus. 18(7). 998–1000. 1 indexed citations

Pan, PingLei, Hui Zhan, Mingxu Xia, et al.. (2016). Aberrant regional homogeneity in Parkinson’s disease: A voxel-wise meta-analysis of resting-state functional magnetic resonance imaging studies. Neuroscience & Biobehavioral Reviews. 72. 223–231. 73 indexed citations

Zhu, Xiaolei, Sulei Wang, Linjie Yu, et al.. (2014). TL-2 attenuates β-amyloid induced neuronal apoptosis through the AKT/GSK-3β/β-catenin pathway. The International Journal of Neuropsychopharmacology. 17(9). 1511–1519. 31 indexed citations

Luo, Yun, Jingwei Li, Dening Guan, & Yun Xu. (2014). [Change and significance of blood lipids during the course of carotid artery plaque formation induced by diabetes mellitus in patients with ischemic cerebral vascular disease].. PubMed. 94(29). 2279–81. 2 indexed citations

Zhu, Xiaolei, Lan Ye, Hui Ming Ge, et al.. (2012). Hopeahainol A attenuates memory deficits by targeting β‐amyloid in APP/PS1 transgenic mice. Aging Cell. 12(1). 85–92. 23 indexed citations

Zhu, Xiaolei, Cong Chen, Dan Ye, et al.. (2012). Diammonium Glycyrrhizinate Upregulates PGC-1α and Protects against Aβ1–42-Induced Neurotoxicity. PLoS ONE. 7(4). e35823–e35823. 58 indexed citations

Luo, Yun, Fengnan Niu, Xin Zhang, et al.. (2008). Altered expression of Aβ metabolism-associated molecules from d-galactose/AlCl3 induced mouse brain. Mechanisms of Ageing and Development. 130(4). 248–252. 78 indexed citations

10.

Jia, Jia, Dening Guan, Wenjing Zhu, et al.. (2008). Estrogen inhibits Fas-mediated apoptosis in experimental stroke. Experimental Neurology. 215(1). 48–52. 49 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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