Mei Zhao

892 total citations
18 papers, 355 citations indexed

About

Mei Zhao is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mei Zhao has authored 18 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biological Psychiatry, 6 papers in Behavioral Neuroscience and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mei Zhao's work include Tryptophan and brain disorders (7 papers), Stress Responses and Cortisol (6 papers) and Circadian rhythm and melatonin (4 papers). Mei Zhao is often cited by papers focused on Tryptophan and brain disorders (7 papers), Stress Responses and Cortisol (6 papers) and Circadian rhythm and melatonin (4 papers). Mei Zhao collaborates with scholars based in China, Canada and Serbia. Mei Zhao's co-authors include Huajing Teng, Zhong Sheng Sun, Jiesi Wang, Mingzhen Li, Bart Ellenbroek, Hang Xu, Feng Shao, Weiwen Wang, Quansheng Du and Xiaojuan Chen and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Mei Zhao

17 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Zhao China 12 104 104 100 79 66 18 355
Elodie Ladevèze France 9 38 0.4× 60 0.6× 56 0.6× 82 1.0× 64 1.0× 12 359
Hiram Tendilla‐Beltrán Mexico 13 151 1.5× 82 0.8× 84 0.8× 28 0.4× 53 0.8× 29 381
Sandra Zoubovsky United States 8 120 1.2× 166 1.6× 108 1.1× 20 0.3× 37 0.6× 9 436
Ann M. Hemmerle United States 10 79 0.8× 66 0.6× 132 1.3× 48 0.6× 36 0.5× 11 531
Glenda Alquicer Czechia 10 49 0.5× 77 0.7× 146 1.5× 27 0.3× 60 0.9× 18 498
Jens Stepan Germany 10 79 0.8× 68 0.7× 106 1.1× 19 0.2× 48 0.7× 14 387
Annemarie Zimprich Germany 9 27 0.3× 47 0.5× 98 1.0× 26 0.3× 52 0.8× 11 282
Fulian Huang China 12 115 1.1× 152 1.5× 100 1.0× 69 0.9× 40 0.6× 23 491
Jianbo Xiu China 9 78 0.8× 60 0.6× 314 3.1× 23 0.3× 60 0.9× 18 593
Klára Felszeghy Hungary 11 50 0.5× 175 1.7× 63 0.6× 38 0.5× 54 0.8× 15 398

Countries citing papers authored by Mei Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Mei Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Zhao

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

All Works

18 of 18 papers shown
1.
Shi, Leisheng, et al.. (2021). AddictGene: An integrated knowledge base for differentially expressed genes associated with addictive substance. Computational and Structural Biotechnology Journal. 19. 2416–2422. 2 indexed citations
2.
Zhang, Kunlin, et al.. (2021). Candidate l ‐methionine target piRNA regulatory networks analysis response to cocaine‐conditioned place preference in mice. Brain and Behavior. 11(8). e2272–e2272. 4 indexed citations
3.
Zhao, Mei, et al.. (2021). Functional validation of pathogenicity genes in rice sheath blight pathogen Rhizoctonia solani by a novel host‐induced gene silencing system. Molecular Plant Pathology. 22(12). 1587–1598. 21 indexed citations
4.
Lin, Wenjuan, et al.. (2020). Effect of Toll‐like receptor 4 on depressive‐like behaviors induced by chronic social defeat stress. Brain and Behavior. 10(3). e01525–e01525. 37 indexed citations
5.
Chen, Xiaojuan, Huajing Teng, Mingzhen Li, et al.. (2020). The clock‐controlled chemokine contributes to neuroinflammation‐induced depression. The FASEB Journal. 34(6). 8357–8366. 23 indexed citations
6.
Li, Mingzhen, Huajing Teng, Guangqiang Sun, et al.. (2019). Transcriptome profiles of corticosterone-induced cytotoxicity reveals the involvement of neurite growth-related genes in depression. Psychiatry Research. 276. 79–86. 9 indexed citations
7.
Zhao, Jingjie, Xuesong Gao, Anna Wang, et al.. (2019). Depression comorbid with hyperalgesia: Different roles of neuroinflammation induced by chronic stress and hypercortisolism. Journal of Affective Disorders. 256. 117–124. 28 indexed citations
8.
Zhao, Mei, Lingling Hou, Huajing Teng, et al.. (2019). Whole-Exome Sequencing Identified a Novel Compound Heterozygous Genotype in ASL in a Chinese Han Patient with Argininosuccinate Lyase Deficiency. BioMed Research International. 2019. 1–7.
9.
Wang, Yan, et al.. (2018). Transcriptome Sequencing Reveals Candidate NF-κB Target Genes Involved in Repeated Cocaine Administration. The International Journal of Neuropsychopharmacology. 21(7). 697–704. 7 indexed citations
10.
Li, Mingzhen, Peng Xu, Yanhua Xu, et al.. (2017). Dynamic Expression Changes in the Transcriptome of the Prefrontal Cortex after Repeated Exposure to Cocaine in Mice. Frontiers in Pharmacology. 8. 142–142. 24 indexed citations
11.
Wang, Jiesi, Ke Zhang, Xiaojuan Chen, et al.. (2017). Epigenetic Activation of ASCT2 in the Hippocampus Contributes to Depression-Like Behavior by Regulating D-Serine in Mice. Frontiers in Molecular Neuroscience. 10. 139–139. 20 indexed citations
12.
Xu, Hang, Jiesi Wang, Mei Zhao, et al.. (2017). Effects of adolescent social stress and antidepressant treatment on cognitive inflexibility and Bdnf epigenetic modifications in the mPFC of adult mice. Psychoneuroendocrinology. 88. 92–101. 54 indexed citations
13.
Tian, Weiping, Jiesi Wang, Ke Zhang, et al.. (2016). Demethylation of c-MYB binding site mediates upregulation of Bdnf IV in cocaine-conditioned place preference. Scientific Reports. 6(1). 22087–22087. 15 indexed citations
14.
Li, Zhigang, et al.. (2015). Sex-related difference in food-anticipatory activity of mice. Hormones and Behavior. 70. 38–46. 24 indexed citations
15.
Xu, Yanhua, et al.. (2015). Sex-Specific Diurnal Immobility Induced by Forced Swim Test in Wild Type and Clock Gene Deficient Mice. International Journal of Molecular Sciences. 16(4). 6831–6841. 9 indexed citations
16.
Wang, Yongqing, Yan Wang, Gang Xu, et al.. (2013). Comparative RNA-seq analysis reveals potential mechanisms mediating the conversion to androgen independence in an LNCaP progression cell model. Cancer Letters. 342(1). 130–138. 15 indexed citations
17.
Zhang, Jing, Huili Li, Huajing Teng, et al.. (2012). Regulation of Peripheral Clock to Oscillation of Substance P Contributes to Circadian Inflammatory Pain. Anesthesiology. 117(1). 149–160. 48 indexed citations
18.
Teng, Huajing, Wanshi Cai, Zhou Linglin, et al.. (2010). Evolutionary Mode and Functional Divergence of Vertebrate NMDA Receptor Subunit 2 Genes. PLoS ONE. 5(10). e13342–e13342. 15 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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