Meng Mei

454 total citations
10 papers, 370 citations indexed

About

Meng Mei is a scholar working on Molecular Biology, Complementary and alternative medicine and Physiology. According to data from OpenAlex, Meng Mei has authored 10 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Complementary and alternative medicine and 4 papers in Physiology. Recurrent topics in Meng Mei's work include Traditional Chinese Medicine Analysis (6 papers), Nitric Oxide and Endothelin Effects (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Meng Mei is often cited by papers focused on Traditional Chinese Medicine Analysis (6 papers), Nitric Oxide and Endothelin Effects (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Meng Mei collaborates with scholars based in China and Russia. Meng Mei's co-authors include Meili Lü, Futian Tang, Hongxin Wang, Ronghui Han, Jin Hu, Suping Zhang, Hongxin Wang, Л. Н. Маслов, Jing Yang and Jing Zhang and has published in prestigious journals such as PLoS ONE, Phytotherapy Research and Frontiers in Endocrinology.

In The Last Decade

Meng Mei

10 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meng Mei China 10 179 100 55 50 45 10 370
Yang Jie-ren China 16 178 1.0× 67 0.7× 36 0.7× 44 0.9× 46 1.0× 27 536
Guangtian Yang China 13 197 1.1× 73 0.7× 69 1.3× 49 1.0× 41 0.9× 33 476
Bin Leng China 13 253 1.4× 86 0.9× 40 0.7× 44 0.9× 50 1.1× 19 502
Eun‐Seok Park South Korea 14 208 1.2× 38 0.4× 52 0.9× 56 1.1× 41 0.9× 28 506
Hongli Sun China 8 163 0.9× 62 0.6× 47 0.9× 34 0.7× 29 0.6× 9 382
Zhirui Fang China 12 212 1.2× 58 0.6× 36 0.7× 34 0.7× 38 0.8× 19 399
Guozhu Han China 13 294 1.6× 51 0.5× 60 1.1× 25 0.5× 66 1.5× 33 610
Hwa‐Sup Shin South Korea 12 197 1.1× 61 0.6× 76 1.4× 62 1.2× 38 0.8× 32 425
Xuecong Ren China 11 197 1.1× 47 0.5× 41 0.7× 45 0.9× 46 1.0× 16 375
Qun Zheng China 13 241 1.3× 172 1.7× 43 0.8× 67 1.3× 28 0.6× 19 440

Countries citing papers authored by Meng Mei

Since Specialization
Citations

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

Fields of papers citing papers by Meng Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Mei

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

All Works

10 of 10 papers shown
1.
Mei, Meng, Maochang Liu, Yan Mei, Jing Zhao, & Yang Li. (2023). Sphingolipid metabolism in brain insulin resistance and neurological diseases. Frontiers in Endocrinology. 14. 1243132–1243132. 23 indexed citations
2.
Han, Ronghui, Futian Tang, Meili Lü, et al.. (2017). Astragalus polysaccharide ameliorates H2O2-induced human umbilical vein endothelial cell injury. Molecular Medicine Reports. 15(6). 4027–4034. 46 indexed citations
3.
Tang, Futian, Meili Lü, Jing Yang, et al.. (2016). Astragaloside IV improves the isoproterenol-induced vascular dysfunction via attenuating eNOS uncoupling-mediated oxidative stress and inhibiting ROS-NF-κB pathways. International Immunopharmacology. 33. 119–127. 40 indexed citations
4.
Han, Ronghui, Futian Tang, Meili Lü, et al.. (2016). Protective effects of Astragalus polysaccharides against endothelial dysfunction in hypertrophic rats induced by isoproterenol. International Immunopharmacology. 38. 306–312. 25 indexed citations
5.
Tang, Futian, Meili Lü, Lan Yu, et al.. (2016). Inhibition of TNF-α–mediated NF-κB Activation by Ginsenoside Rg1 Contributes the Attenuation of Cardiac Hypertrophy Induced by Abdominal Aorta Coarctation. Journal of Cardiovascular Pharmacology. 68(4). 257–264. 31 indexed citations
6.
7.
Tang, Futian, Meili Lü, Xiaowen Zhang, et al.. (2015). Calpain-1 Mediated Disorder of Pyrophosphate Metabolism Contributes to Vascular Calcification Induced by oxLDL. PLoS ONE. 10(6). e0129128–e0129128. 19 indexed citations
8.
Mei, Meng, Futian Tang, Meili Lü, et al.. (2015). Astragaloside IV attenuates apoptosis of hypertrophic cardiomyocyte through inhibiting oxidative stress and calpain-1 activation. Environmental Toxicology and Pharmacology. 40(3). 764–773. 43 indexed citations
9.
Lü, Meili, Futian Tang, Jing Zhang, et al.. (2015). Astragaloside IV Attenuates Injury Caused by Myocardial Ischemia/Reperfusion in Rats via Regulation of Toll‐Like Receptor 4/Nuclear Factor‐κB Signaling Pathway. Phytotherapy Research. 29(4). 599–606. 80 indexed citations
10.
Tang, Futian, Meili Lü, Suping Zhang, et al.. (2014). Vitamin E Conditionally Inhibits Atherosclerosis in ApoE Knockout Mice by Anti‐oxidation and Regulation of Vasculature Gene Expressions. Lipids. 49(12). 1215–1223. 30 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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