Zejian Wang

1.2k total citations
45 papers, 954 citations indexed

About

Zejian Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Zejian Wang has authored 45 papers receiving a total of 954 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in Zejian Wang's work include Neuroscience and Neuropharmacology Research (8 papers), Alzheimer's disease research and treatments (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Zejian Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Alzheimer's disease research and treatments (7 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Zejian Wang collaborates with scholars based in China, United States and Norway. Zejian Wang's co-authors include Ming Yin, Wenjuan Zhao, Lu Yang, Yantian Chen, Hongzhuan Chen, Lu Zhao, Zhao Hong, Yin Wang, Qiaoyan Zhang and Baoming Nie and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Colloid and Interface Science.

In The Last Decade

Zejian Wang

41 papers receiving 935 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zejian Wang 424 196 125 105 92 45 954
Chunyan Guo 520 1.2× 223 1.1× 83 0.7× 99 0.9× 93 1.0× 6 1.1k
Senthilkumar Sivanesan 455 1.1× 229 1.2× 116 0.9× 108 1.0× 161 1.8× 75 1.2k
Meng Sun 565 1.3× 126 0.6× 151 1.2× 74 0.7× 77 0.8× 49 1.3k
Huanhuan Yan 245 0.6× 187 1.0× 178 1.4× 104 1.0× 126 1.4× 48 781
Hyun Soo Shim 238 0.6× 182 0.9× 118 0.9× 70 0.7× 102 1.1× 34 755
Rodrigo Portes Ureshino 401 0.9× 250 1.3× 190 1.5× 138 1.3× 102 1.1× 44 1.3k
Yan Hou 481 1.1× 296 1.5× 165 1.3× 98 0.9× 154 1.7× 32 1.1k
Mohammad Amin Rajizadeh 244 0.6× 192 1.0× 68 0.5× 79 0.8× 78 0.8× 61 964
Byeong Tak Jeon 527 1.2× 453 2.3× 123 1.0× 94 0.9× 144 1.6× 37 1.4k
Chung‐Kil Won 486 1.1× 134 0.7× 181 1.4× 124 1.2× 119 1.3× 68 1.1k

Countries citing papers authored by Zejian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zejian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zejian Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zejian Wang. A scholar is included among the top collaborators of Zejian 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 Zejian Wang. Zejian Wang 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.
Wang, Zejian, et al.. (2025). HWDSQP: A Historical Weighted and Dynamic Scheduling Quantum Protocol to Enhance Communication Reliability. IEEE Journal on Selected Areas in Communications. 43(8). 2810–2824.
2.
Han, Chong, Zejian Wang, Zhenlin Zhang, et al.. (2025). The Pathogenic Roles of Local Vitamin D Metabolism Defect in Valve Inflammation and Calcification. Advanced Science. 12(48). e01250–e01250.
3.
Pan, Xiuhua, Yiwei Tian, Jun Zhang, et al.. (2025). Sustained-release hydrogel system for preventing postoperative tumor recurrence through synergistic immune signal enhancement for T cell activation. Journal of Colloid and Interface Science. 699(Pt 1). 138158–138158. 1 indexed citations
5.
Weng, Meiqian, et al.. (2020). Trappc9 deficiency in mice impairs learning and memory by causing imbalance of dopamine D1 and D2 neurons. Science Advances. 6(47). 25 indexed citations
6.
Zhu, Shun, et al.. (2019). Propofol Alleviates Apoptosis Induced by Chronic High Glucose Exposure via Regulation of HIF-1α in H9c2 Cells. Oxidative Medicine and Cellular Longevity. 2019. 1–13. 15 indexed citations
7.
Zhou, Dandan, Yihui Wang, Dandan Zhao, et al.. (2019). Propofol Alleviates DNA Damage Induced by Oxygen Glucose Deprivation and Reperfusion via FoxO1 Nuclear Translocation in H9c2 Cells. Frontiers in Physiology. 10. 223–223. 10 indexed citations
8.
Wang, Yihui, Dandan Zhou, Dandan Zhao, et al.. (2019). Propofol Ameliorates H9c2 Cells Apoptosis Induced by Oxygen Glucose Deprivation and Reperfusion Injury via Inhibiting High Levels of Mitochondrial Fusion and Fission. Frontiers in Pharmacology. 10. 61–61. 28 indexed citations
9.
Wang, Zhu, et al.. (2018). Amyloid-β1-42 dynamically regulates the migration of neural stem/progenitor cells via MAPK-ERK pathway. Chemico-Biological Interactions. 298. 96–103. 15 indexed citations
10.
Hu, Yue, et al.. (2017). N-stearoyl-l-Tyrosine inhibits the cell senescence and apoptosis induced by H2O2 in HEK293/Tau cells via the CB2 receptor. Chemico-Biological Interactions. 272. 135–144. 10 indexed citations
11.
Li, Wenqing, Zejian Wang, Sha Liu, et al.. (2016). N‐Stearoyl‐L‐Tyrosine Inhibits the Senescence of Neural Stem/Progenitor Cells Induced by Aβ1–42 via the CB2 Receptor. Stem Cells International. 2016(1). 7419389–7419389. 9 indexed citations
12.
Zhao, Lu, Sha Liu, Yin Wang, et al.. (2015). Effects of Curculigoside on Memory Impairment and Bone Loss via Anti-Oxidative Character in APP/PS1 Mutated Transgenic Mice. PLoS ONE. 10(7). e0133289–e0133289. 28 indexed citations
13.
Zhang, Can, et al.. (2014). RhoC Involved in the Migration of Neural Stem/Progenitor Cells. Cellular and Molecular Neurobiology. 34(3). 409–417. 8 indexed citations
14.
He, Na, et al.. (2013). ZY-1, A Novel Nicotinic Analog, Promotes Proliferation and Migration of Adult Hippocampal Neural Stem/Progenitor Cells. Cellular and Molecular Neurobiology. 33(8). 1149–1157. 10 indexed citations
15.
Nie, Hui, Zejian Wang, Wenjuan Zhao, et al.. (2013). New nicotinic analogue ZY-1 enhances cognitive functions in a transgenic mice model of Alzheimer's disease. Neuroscience Letters. 537. 29–34. 15 indexed citations
16.
Hong, Zhao, et al.. (2013). Characterization of the APP/PS1 mouse model of Alzheimer's disease in senescence accelerated background. Neuroscience Letters. 557. 84–89. 73 indexed citations
17.
Zhang, Jing, Yin Wang, Jinyuan Zhang, et al.. (2011). Identification of Hub Genes Related to the Recovery Phase of Irradiation Injury by Microarray and Integrated Gene Network Analysis. PLoS ONE. 6(9). e24680–e24680. 19 indexed citations
18.
Li, Song, et al.. (2009). Panaxydol inhibits the proliferation and induces the differentiation of human hepatocarcinoma cell line HepG2. Chemico-Biological Interactions. 181(1). 138–143. 32 indexed citations
19.
Wang, Zejian, et al.. (2007). Stearic acid protects primary cultured cortical neurons against oxidative stress. Acta Pharmacologica Sinica. 28(3). 315–326. 89 indexed citations
20.
Wang, Zejian, et al.. (2006). Neuroprotective effect of the stearic acid against oxidative stress via phosphatidylinositol 3-kinase pathway. Chemico-Biological Interactions. 160(1). 80–87. 23 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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