Zishan Wang

424 total citations
13 papers, 319 citations indexed

About

Zishan Wang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Zishan Wang has authored 13 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Zishan Wang's work include Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Nuclear Receptors and Signaling (3 papers). Zishan Wang is often cited by papers focused on Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Nuclear Receptors and Signaling (3 papers). Zishan Wang collaborates with scholars based in China. Zishan Wang's co-authors include Mei Yu, Fang Huang, Jiabin Tong, Dongping Huang, Jing Xu, Jian Fei, Xiaochen Bai, Yufei Wu, Yulu Huang and Jinghui Wang and has published in prestigious journals such as Scientific Reports, Neuroscience and Neuropharmacology.

In The Last Decade

Zishan Wang

13 papers receiving 313 citations

Peers

Zishan Wang
Zishan Wang
Citations per year, relative to Zishan Wang Zishan Wang (= 1×) peers Jiabin Tong

Countries citing papers authored by Zishan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zishan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zishan Wang

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

All Works

13 of 13 papers shown
1.
Wang, Zishan, Ye Yan, Zhiguo Luo, et al.. (2023). An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction. Bioengineering. 10(10). 1200–1200. 2 indexed citations
2.
Li, Heng, Jiabin Tong, Yufei Wu, et al.. (2023). NOD-like receptor NLRC5 promotes neuroinflammation and inhibits neuronal survival in Parkinson’s disease models. Journal of Neuroinflammation. 20(1). 96–96. 22 indexed citations
3.
Wang, Zishan, Julien Epps, & Siyuan Chen. (2021). An Investigation of Automatic Saccade and Fixation Detection from Wearable Infrared Cameras. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 20. 2250–2257. 1 indexed citations
4.
Wang, Zishan, Jinghui Wang, Yulu Huang, et al.. (2020). Pro-survival and anti-inflammatory roles of NF-κB c-Rel in the Parkinson's disease models. Redox Biology. 30. 101427–101427. 32 indexed citations
5.
Li, Heng, Yufei Wu, Yajing Chen, et al.. (2019). The deficiency of NRSF/REST enhances the pro-inflammatory function of astrocytes in a model of Parkinson's disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(1). 165590–165590. 28 indexed citations
6.
Huang, Dongping, Qing Li, Yi Wang, et al.. (2019). Brain-specific NRSF deficiency aggravates dopaminergic neurodegeneration and impairs neurogenesis in the MPTP mouse model of Parkinson’s disease. Aging. 11(10). 3280–3297. 15 indexed citations
7.
Su, Jing, Jinghui Wang, Yuanyuan Ma, et al.. (2019). Inflammation associated with chronic heart failure leads to enhanced susceptibility to depression. FEBS Journal. 286(14). 2769–2786. 9 indexed citations
8.
Huang, Li, Jing Su, Liping Bu, et al.. (2018). The pretreatment of chronic restraint stress exerts little impact on the progression of heart failure in mice. Acta Biochimica et Biophysica Sinica. 51(2). 204–215. 3 indexed citations
9.
Huang, Dongping, Zishan Wang, Jiabin Tong, et al.. (2017). Long-term Changes in the Nigrostriatal Pathway in the MPTP Mouse Model of Parkinson’s Disease. Neuroscience. 369. 303–313. 28 indexed citations
10.
Huang, Dongping, Jing Xu, Jinghui Wang, et al.. (2017). Dynamic Changes in the Nigrostriatal Pathway in the MPTP Mouse Model of Parkinson’s Disease. Parkinson s Disease. 2017. 1–7. 73 indexed citations
11.
Wang, Pan, Jiabin Tong, Lei Cai, et al.. (2015). NRSF is an essential mediator for the neuroprotection of trichostatin A in the MPTP mouse model of Parkinson's disease. Neuropharmacology. 99. 67–78. 47 indexed citations
12.
Liu, Jie, Dongping Huang, Jing Xu, et al.. (2015). Tiagabine Protects Dopaminergic Neurons against Neurotoxins by Inhibiting Microglial Activation. Scientific Reports. 5(1). 15720–15720. 51 indexed citations
13.
Zheng, Dawei, Limin Xu, Lebo Sun, et al.. (2014). Comparison of the Ventricle Muscle Proteome between Patients with Rheumatic Heart Disease and Controls with Mitral Valve Prolapse: HSP 60 May Be a Specific Protein in RHD. BioMed Research International. 2014. 1–9. 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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