Zhen-Kun Gao

564 total citations
15 papers, 391 citations indexed

About

Zhen-Kun Gao is a scholar working on Neurology, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Zhen-Kun Gao has authored 15 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 4 papers in Molecular Biology and 4 papers in Developmental Neuroscience. Recurrent topics in Zhen-Kun Gao's work include Neurological Disease Mechanisms and Treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Zhen-Kun Gao is often cited by papers focused on Neurological Disease Mechanisms and Treatments (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). Zhen-Kun Gao collaborates with scholars based in China. Zhen-Kun Gao's co-authors include Xin-Ya Shen, Yi‐Sha Guo, Mei Yuan, Yu Han, Xia Bi, Yu Han, Xia Bi, Yu Han, Pingping Han and Kai Li and has published in prestigious journals such as Neuroscience, Experimental Brain Research and Behavioural Brain Research.

In The Last Decade

Zhen-Kun Gao

15 papers receiving 388 citations

Peers

Zhen-Kun Gao
Xia Bi China
Zhen-Kun Gao
Citations per year, relative to Zhen-Kun Gao Zhen-Kun Gao (= 1×) peers Xia Bi

Countries citing papers authored by Zhen-Kun Gao

Since Specialization
Citations

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

Fields of papers citing papers by Zhen-Kun Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Kun Gao. 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 Zhen-Kun Gao. The network helps show where Zhen-Kun Gao may publish in the future.

Co-authorship network of co-authors of Zhen-Kun Gao

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

All Works

15 of 15 papers shown
1.
Li, Kai, Zhen-Kun Gao, Yi‐Sha Guo, et al.. (2024). Preconditioning exercise reduces brain damage of ischemic stroke in rats via PI3K–AKT pathway by bioinformatic analysis. Experimental Brain Research. 242(4). 869–878. 1 indexed citations
2.
Han, Yu, Xin-Ya Shen, Zhen-Kun Gao, Pingping Han, & Xia Bi. (2024). Enriched environment treatment promotes neural functional recovery together with microglia polarization and remyelination after cerebral ischemia in rats. Brain Research Bulletin. 209. 110912–110912. 9 indexed citations
3.
Han, Yu, et al.. (2023). Enriched environment-induced neuroplasticity in ischemic stroke and its underlying mechanisms. Frontiers in Cellular Neuroscience. 17. 1210361–1210361. 20 indexed citations
4.
Han, Yu, et al.. (2023). NLRP3 inflammasome activation after ischemic stroke. Behavioural Brain Research. 452. 114578–114578. 18 indexed citations
5.
Yuan, Mei, Yi‐Sha Guo, Xinxin Zhang, et al.. (2022). Diagnostic performance of miR-21, miR-124, miR-132, and miR-200b serums in post-stroke cognitive impairment patients. Folia Neuropathologica. 60(2). 228–236. 10 indexed citations
7.
Han, Yu, Mei Yuan, Yi‐Sha Guo, et al.. (2022). The role of enriched environment in neural development and repair. Frontiers in Cellular Neuroscience. 16. 890666–890666. 45 indexed citations
8.
Gao, Zhen-Kun, et al.. (2022). Enriched Environment Effects on Myelination of the Central Nervous System: Role of Glial Cells. Neural Plasticity. 2022. 1–16. 6 indexed citations
9.
Guo, Yi‐Sha, Mei Yuan, Yu Han, et al.. (2022). Effects of enriched environment on microglia and functional white matter recovery in rats with post stroke cognitive impairment. Neurochemistry International. 154. 105295–105295. 27 indexed citations
10.
Shen, Xin-Ya, et al.. (2022). Pre exposure to enriched environment alleviates brain injury after ischemia-reperfusion by inhibiting p38MAPK/STAT1 pathway. Molecular Biology Reports. 50(3). 2243–2255. 6 indexed citations
11.
Gao, Zhen-Kun, Xin-Ya Shen, Yu Han, et al.. (2022). Pre-ischemic exercise prevents inflammation and apoptosis by inhibiting MAPK pathway in ischemic stroke. Translational Neuroscience. 13(1). 495–505. 9 indexed citations
12.
Yuan, Mei, Yi‐Sha Guo, Yu Han, et al.. (2021). Effectiveness and mechanisms of enriched environment in post-stroke cognitive impairment. Behavioural Brain Research. 410. 113357–113357. 30 indexed citations
13.
Guo, Yi‐Sha, Mei Yuan, Yu Han, et al.. (2021). Therapeutic Potential of Cytokines in Demyelinating Lesions After Stroke. Journal of Molecular Neuroscience. 71(10). 2035–2052. 5 indexed citations
14.
Han, Yu, Mei Yuan, Yi‐Sha Guo, et al.. (2021). Mechanism of Endoplasmic Reticulum Stress in Cerebral Ischemia. Frontiers in Cellular Neuroscience. 15. 704334–704334. 70 indexed citations
15.
Shen, Xin-Ya, et al.. (2021). Activation and Role of Astrocytes in Ischemic Stroke. Frontiers in Cellular Neuroscience. 15. 755955–755955. 126 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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