Mei Qiang

1.1k total citations
32 papers, 884 citations indexed

About

Mei Qiang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Mei Qiang has authored 32 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Genetics. Recurrent topics in Mei Qiang's work include Neuroscience and Neuropharmacology Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Genetic Syndromes and Imprinting (5 papers). Mei Qiang is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Epigenetics and DNA Methylation (8 papers) and Genetic Syndromes and Imprinting (5 papers). Mei Qiang collaborates with scholars based in China, United States and Switzerland. Mei Qiang's co-authors include Maharaj K. Ticku, Ashley D. Denny, Senlin Li, C. S. Sheela Rani, Junpeng Qiao, Yingqiu Guo, Yongxin Chen, Haiyang He, Jintao Li and Daijun Zhou and has published in prestigious journals such as Blood, PLoS ONE and Biochemical Journal.

In The Last Decade

Mei Qiang

31 papers receiving 861 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 Qiang China 21 482 206 126 109 104 32 884
Katsuhide Igarashi Japan 19 582 1.2× 179 0.9× 72 0.6× 78 0.7× 152 1.5× 45 1.1k
Minhan Ka South Korea 21 588 1.2× 165 0.8× 81 0.6× 35 0.3× 233 2.2× 43 1.1k
Jeffrey B. Eells United States 18 371 0.8× 491 2.4× 96 0.8× 76 0.7× 62 0.6× 39 1.0k
Paula Martínez Spain 12 295 0.6× 122 0.6× 132 1.0× 60 0.6× 136 1.3× 16 851
Gabriela G. Cezar United States 10 608 1.3× 105 0.5× 105 0.8× 49 0.4× 129 1.2× 12 946
William J. DeVito United States 20 295 0.6× 99 0.5× 79 0.6× 128 1.2× 98 0.9× 52 986
Ruma Raha‐Chowdhury United Kingdom 21 303 0.6× 234 1.1× 160 1.3× 30 0.3× 67 0.6× 40 1.4k
Sugirthan Sivalingam Germany 9 245 0.5× 230 1.1× 60 0.5× 70 0.6× 66 0.6× 19 845
Hyang Mi Moon United States 8 448 0.9× 80 0.4× 167 1.3× 49 0.4× 89 0.9× 10 821
Fabrice Chatonnet France 20 352 0.7× 96 0.5× 29 0.2× 73 0.7× 183 1.8× 34 966

Countries citing papers authored by Mei Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Qiang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Qiang. A scholar is included among the top collaborators of Mei Qiang 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 Qiang. Mei Qiang 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.
Yang, Jia, et al.. (2022). Paternal exposure to arsenic and sperm DNA methylation of imprinting gene Meg3 in reproductive-aged men. Environmental Geochemistry and Health. 45(6). 3055–3068. 10 indexed citations
2.
Yu, Shengnan, Shiqi Chen, Jia Jin, et al.. (2020). Relative Telomere Length in Peripheral Blood Cells and Hypertension Risk among Mine Workers: A Case‐Control Study in Chinese Coal Miners. BioMed Research International. 2020(1). 5681096–5681096. 5 indexed citations
3.
Zhang, Wenping, Jia Yang, Yi Lv, Senlin Li, & Mei Qiang. (2019). Paternal benzo[a]pyrene exposure alters the sperm DNA methylation levels of imprinting genes in F0 generation mice and their unexposed F1-2 male offspring. Chemosphere. 228. 586–594. 43 indexed citations
4.
Li, Yingjun, et al.. (2018). Urine mercury levels correlate with DNA methylation of imprinting gene H19 in the sperm of reproductive-aged men. PLoS ONE. 13(4). e0196314–e0196314. 25 indexed citations
5.
Zhou, Jun, et al.. (2017). The association between the UBQLN1 polymorphism and Alzheimer's disease risk: A systematic review. Cellular and Molecular Biology. 63(5). 94–96. 6 indexed citations
6.
Zhang, Wenping, Fengjie Tian, Jinping Zheng, Senlin Li, & Mei Qiang. (2016). Chronic Administration of Benzo(a)pyrene Induces Memory Impairment and Anxiety-Like Behavior and Increases of NR2B DNA Methylation. PLoS ONE. 11(2). e0149574–e0149574. 37 indexed citations
7.
Qiang, Mei, et al.. (2015). Epigenetic Mechanisms Are Involved in the Regulation of Ethanol Consumption in Mice. The International Journal of Neuropsychopharmacology. 18(2). 36 indexed citations
8.
Luo, Xuegang, et al.. (2014). Extended Study of Sunflower Straw in the Selective Adsorption Behaviors and Mechanisms for U(VI) and Pb(II). Linchan huaxue yu gongye. 34(2). 9–16. 1 indexed citations
9.
Qiang, Mei, Yanqi Zhang, Jianjun Liu, et al.. (2013). Hierarchically Clustering to 1,033 Genes Differentially Expressed in Mouse Superior Colliculus in the Courses of Optic Nerve Development and Injury. Cell Biochemistry and Biophysics. 67(2). 753–761. 4 indexed citations
10.
Zhou, Daijun, Mei Qiang, Jintao Li, & Haiyang He. (2012). Cyclophilin A and viral infections. Biochemical and Biophysical Research Communications. 424(4). 647–650. 55 indexed citations
11.
Qiang, Mei, et al.. (2011). Histone H3K9 modifications are a local chromatin event involved in ethanol-induced neuroadaptation of the NR2B gene. Epigenetics. 6(9). 1095–1104. 59 indexed citations
12.
Qiang, Mei, et al.. (2011). The distribution of β-tubulin isotypes in cultured neurons from embryonic, newborn, and adult mouse brains. Brain Research. 1420. 8–18. 22 indexed citations
13.
Guo, Yingqiu, et al.. (2011). Chronic Intermittent Ethanol Exposure and Its Removal Induce a Different miRNA Expression Pattern in Primary Cortical Neuronal Cultures. Alcoholism Clinical and Experimental Research. 36(6). 1058–1066. 58 indexed citations
14.
15.
Valente, Anthony J., Qing Zhou, Zhenhua Lu, et al.. (2007). Regulation of NOX1 expression by GATA, HNF-1α, and Cdx transcription factors. Free Radical Biology and Medicine. 44(3). 430–443. 28 indexed citations
16.
Qiang, Mei, Ashley D. Denny, & Maharaj K. Ticku. (2007). Chronic Intermittent Ethanol Treatment Selectively Alters N-Methyl-d-aspartate Receptor Subunit Surface Expression in Cultured Cortical Neurons. Molecular Pharmacology. 72(1). 95–102. 62 indexed citations
17.
Qiang, Mei & Maharaj K. Ticku. (2005). Role of AP‐1 in ethanol‐induced N‐methyl‐d‐aspartate receptor 2B subunit gene up‐regulation in mouse cortical neurons. Journal of Neurochemistry. 95(5). 1332–1341. 31 indexed citations
18.
Yang, Huihua, Aasmund Berner, Mei Qiang, et al.. (2002). Cytologic Screening for Esophageal Cancer in a High-Risk Population in Anyang County, China. Acta Cytologica. 46(3). 445–452. 19 indexed citations
19.
Qiang, Mei, et al.. (1999). Effect of nitric oxide synthesis inhibition on c-Fos expression in hippocampus and cerebral cortex following two forms of learning in rats. Behavioural Pharmacology. 10(2). 215–222. 16 indexed citations
20.
Qiang, Mei, et al.. (1998). Nociceptive c-fos expression in supraspinal areas in avoidance of descending suppression at the spinal relay station. Neuroscience. 85(4). 1073–1087. 22 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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