Weijiang Zhao

2.0k total citations
86 papers, 1.4k citations indexed

About

Weijiang Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Weijiang Zhao has authored 86 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 16 papers in Neurology. Recurrent topics in Weijiang Zhao's work include Nerve injury and regeneration (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Glioma Diagnosis and Treatment (8 papers). Weijiang Zhao is often cited by papers focused on Nerve injury and regeneration (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Glioma Diagnosis and Treatment (8 papers). Weijiang Zhao collaborates with scholars based in China, United States and Germany. Weijiang Zhao's co-authors include Melitta Schachner, Qiong Jiang, Wen‐Wen Lin, Hongchao Pan, Chengliang Hu, Gefei Guan, Minghua Zhuang, Yang Yu, Yukun Cui and Yi Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Weijiang Zhao

83 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijiang Zhao China 21 665 339 181 171 167 86 1.4k
Hsueh‐Te Lee Taiwan 22 860 1.3× 305 0.9× 221 1.2× 96 0.6× 112 0.7× 43 1.5k
Yu‐Long Lan China 23 518 0.8× 182 0.5× 117 0.6× 101 0.6× 103 0.6× 48 1.1k
Hai Jin China 26 947 1.4× 340 1.0× 234 1.3× 145 0.8× 213 1.3× 74 1.8k
Adel Rezaei Moghadam Iran 12 660 1.0× 230 0.7× 100 0.6× 99 0.6× 145 0.9× 17 1.6k
Hayato Takeuchi Japan 14 780 1.2× 165 0.5× 122 0.7× 171 1.0× 60 0.4× 33 1.5k
Wei‐Lan Yeh Taiwan 28 938 1.4× 370 1.1× 325 1.8× 342 2.0× 109 0.7× 50 2.1k
Xiaodan Zhang China 23 1.0k 1.6× 479 1.4× 152 0.8× 116 0.7× 166 1.0× 129 1.8k
Jin‐Hua Gu China 22 840 1.3× 220 0.6× 127 0.7× 311 1.8× 116 0.7× 70 1.7k
Nabil Hajji United Kingdom 19 1.1k 1.7× 228 0.7× 219 1.2× 440 2.6× 212 1.3× 36 2.0k
Mohd Parvez Khan India 21 769 1.2× 160 0.5× 158 0.9× 305 1.8× 50 0.3× 41 1.6k

Countries citing papers authored by Weijiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Weijiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Weijiang Zhao. A scholar is included among the top collaborators of Weijiang Zhao 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 Weijiang Zhao. Weijiang Zhao 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
2.
Qiao, Chen-Meng, Lulu Tan, Xiaoyu Ma, et al.. (2024). Mechanism of S100A9-mediated astrocyte activation via TLR4/NF-κB in Parkinson’s disease. International Immunopharmacology. 146. 113938–113938. 6 indexed citations
3.
Zhang, Wei, Qian Li, Chong Liu, et al.. (2024). Neuregulin 1 mitigated prolactin deficiency through enhancing TRPM8 signaling under the influence of melatonin in senescent pituitary lactotrophs. International Journal of Biological Macromolecules. 275(Pt 1). 133659–133659. 2 indexed citations
4.
Cui, Chun, Yun Shi, Hui Hong, et al.. (2023). 5-HT4 Receptor is Protective for MPTP-induced Parkinson’s Disease Mice Via Altering Gastrointestinal Motility or Gut Microbiota. Journal of Neuroimmune Pharmacology. 18(4). 610–627. 9 indexed citations
5.
Qiao, Chen-Meng, Weijiang Zhao, Wei Quan, et al.. (2023). RIPK1-Induced A1 Reactive Astrocytes in Brain in MPTP-Treated Murine Model of Parkinson’s Disease. Brain Sciences. 13(5). 733–733. 5 indexed citations
6.
Cui, Chun, Hui Hong, Yun Shi, et al.. (2022). Vancomycin Pretreatment on MPTP-Induced Parkinson’s Disease Mice Exerts Neuroprotection by Suppressing Inflammation Both in Brain and Gut. Journal of Neuroimmune Pharmacology. 18(1-2). 72–89. 36 indexed citations
7.
Zhang, Wei, et al.. (2022). Comprehensive Pan-Cancer Analysis of TRPM8 in Tumor Metabolism and Immune Escape. Frontiers in Oncology. 12. 914060–914060. 7 indexed citations
8.
Zhao, Weijiang, et al.. (2022). Current study on diagnosis and treatment of Alzheimer’s disease by targeting amyloid b-protein. Folia Neuropathologica. 61(1). 8–15. 4 indexed citations
9.
Lin, Wen‐Wen, et al.. (2021). Mutational profiling of low‐grade gliomas identifies prognosis and immunotherapy‐related biomarkers and tumour immune microenvironment characteristics. Journal of Cellular and Molecular Medicine. 25(21). 10111–10125. 14 indexed citations
10.
Zhao, Weijiang, et al.. (2020). A risk signature with four autophagy‐related genes for predicting survival of glioblastoma multiforme. Journal of Cellular and Molecular Medicine. 24(7). 3807–3821. 53 indexed citations
11.
Zhao, Weijiang, et al.. (2019). An Overview of Experimental and Clinical Spinal Cord Findings in Alzheimer’s Disease. Brain Sciences. 9(7). 168–168. 16 indexed citations
12.
Liu, Pei, et al.. (2018). Trimebutine Promotes Glioma Cell Apoptosis as a Potential Anti-tumor Agent. Frontiers in Pharmacology. 9. 664–664. 12 indexed citations
13.
Wei, Zhe, Weijiang Zhao, & Melitta Schachner. (2018). Electroacupuncture Restores Locomotor Functions After Mouse Spinal Cord Injury in Correlation With Reduction of PTEN and p53 Expression. Frontiers in Molecular Neuroscience. 11. 411–411. 15 indexed citations
14.
Hu, Chengliang, et al.. (2017). Neuregulin-1 protects mouse cerebellum against oxidative stress and neuroinflammation. Brain Research. 1670. 32–43. 47 indexed citations
15.
Jiang, Qiong, et al.. (2016). Differential changes in Neuregulin-1 signaling in major brain regions in a lipopolysaccharide-induced neuroinflammation mouse model. Molecular Medicine Reports. 14(1). 790–796. 11 indexed citations
16.
Zhao, Weijiang, et al.. (2016). Therapeutic Antibodies for Spinal Cord Injury. CNS & Neurological Disorders - Drug Targets. 16(1). 51–64. 5 indexed citations
17.
Zhao, Weijiang. (2013). The expression and localization of neuregulin-1 (Nrg1) in the gastrointestinal system of the rhesus monkey. Folia Histochemica et Cytobiologica. 51(1). 38–44. 15 indexed citations
18.
Zhao, Weijiang. (2012). Progress for Phage Display Technique and Its Application. Xiandai shengwu yixue jinzhan. 2 indexed citations
19.
Zhao, Weijiang, Zhongfang Shi, Fang Yuan, et al.. (2010). Melatonin modulates the effects of diethylstilbestrol (DES) on the anterior pituitary of the female Wistar rat.. Folia Histochemica et Cytobiologica. 48(2). 278–83. 6 indexed citations
20.
Zhao, Weijiang, Fang Yuan, Guilin Li, et al.. (2007). Long-term application of diethylstilbestrol upregulates expressions of µ - and m-calpains in pituitary intermediate lobe of female Wistar rats*. Neural Regeneration Research. 2(5). 276–280. 1 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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