Mei Yang

3.1k total citations · 1 hit paper
84 papers, 2.4k citations indexed

About

Mei Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Mei Yang has authored 84 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Pulmonary and Respiratory Medicine and 11 papers in Cancer Research. Recurrent topics in Mei Yang's work include Ion Transport and Channel Regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Electrolyte and hormonal disorders (4 papers). Mei Yang is often cited by papers focused on Ion Transport and Channel Regulation (8 papers), Cancer-related molecular mechanisms research (6 papers) and Electrolyte and hormonal disorders (4 papers). Mei Yang collaborates with scholars based in China, Hong Kong and United States. Mei Yang's co-authors include Erwei Song, Ling Lin, Jian‐Dong Huang, Jingqi Chen, Bin Yu, Fengxi Su, Fang Su, Yujie Liu, Yandan Yao and Lijuan Sun and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mei Yang

80 papers receiving 2.4k citations

Hit Papers

Microvesicles secreted by macrophages shuttle invasion-po... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Yang China 23 1.4k 1.0k 414 263 224 84 2.4k
Hsiang‐Cheng Chen Taiwan 27 1.3k 0.9× 475 0.5× 450 1.1× 426 1.6× 248 1.1× 126 3.1k
Abba C. Zubair United States 27 601 0.4× 221 0.2× 419 1.0× 229 0.9× 287 1.3× 94 2.5k
Wen Shi China 34 3.0k 2.1× 570 0.6× 347 0.8× 93 0.4× 687 3.1× 81 4.5k
Christina H. Stuelten United States 24 1.5k 1.1× 468 0.5× 454 1.1× 123 0.5× 880 3.9× 38 3.1k
Yan Wu China 28 987 0.7× 372 0.4× 598 1.4× 224 0.9× 414 1.8× 110 2.7k
Satoshi Yamasaki Japan 26 2.0k 1.4× 668 0.7× 379 0.9× 476 1.8× 426 1.9× 77 3.0k
Jin Kim South Korea 32 1.4k 1.0× 449 0.4× 250 0.6× 461 1.8× 593 2.6× 113 3.3k
Bin Gu China 29 1.6k 1.1× 697 0.7× 220 0.5× 88 0.3× 644 2.9× 212 3.6k
Matthias Hackl Austria 32 2.4k 1.7× 1.3k 1.3× 254 0.6× 130 0.5× 252 1.1× 123 3.2k
Jie Qian China 29 830 0.6× 526 0.5× 525 1.3× 295 1.1× 490 2.2× 116 2.4k

Countries citing papers authored by Mei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yang. A scholar is included among the top collaborators of Mei Yang 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 Yang. Mei Yang 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, Mei, Lifu Zhang, Teng Su, et al.. (2025). EfficientMoE: Optimizing Mixture-of-Experts Model Training With Adaptive Load Balance. IEEE Transactions on Parallel and Distributed Systems. 36(4). 677–688. 1 indexed citations
2.
Wang, Jia, Yan Yuan, Shengtao Yuan, et al.. (2024). Lasiokaurin Regulates PLK1 to Induce Breast Cancer Cell G2/M Phase Block and Apoptosis. Journal of Cancer. 15(8). 2318–2328. 3 indexed citations
3.
Li, Zenghui, Yuqing Feng, Weiyu Chen, et al.. (2024). A Stapled Peptide Inhibitor Targeting the Binding Interface of N6‐Adenosine‐Methyltransferase Subunits METTL3 and METTL14 for Cancer Therapy. Angewandte Chemie International Edition. 63(24). 30 indexed citations
4.
Li, Yupei, et al.. (2024). A Contemporary Review of the Use of Extracorporeal CytoSorb® Hemoadsorption Therapy in Patients with Infective Endocarditis. Journal of Clinical Medicine. 13(3). 763–763. 2 indexed citations
5.
Li, Dongxu, et al.. (2024). Cattle identification based on multiple feature decision layer fusion. Scientific Reports. 14(1). 26631–26631. 6 indexed citations
6.
Yue, Xin, Ming Yang, Mei Yang, et al.. (2024). AIM2 deficiency in CD4+ T cells promotes psoriasis-like inflammation by regulating Th17-Treg axis via AIM2-IKZF2 pathway. Journal of Autoimmunity. 150. 103351–103351. 4 indexed citations
7.
Ullah, Saif, et al.. (2024). Phenolic Acid Concentration and Adsorption in the Soil of Monoculture Eucalyptus and Acacia Mangium Plantations Versus Species Mixtures in Subtropical Forests. Journal of soil science and plant nutrition. 24(3). 4133–4144. 1 indexed citations
9.
Ding, Bo, Jun Huang, Jiahui Lin, et al.. (2023). Analysis of factors influencing the determination of indications for allergen-specific immunotherapy. Allergologia et Immunopathologia. 51(1). 168–176. 3 indexed citations
10.
Ullah, Saif, et al.. (2023). Continuous planting Eucalyptus plantations in subtropical China: Soil phenolic acid accumulation and adsorption physiognomies. Frontiers in Forests and Global Change. 6. 5 indexed citations
11.
Zhang, Xi, Hongyan Wang, Chenzhen Du, et al.. (2022). Custom-Molded Offloading Footwear Effectively Prevents Recurrence and Amputation, and Lowers Mortality Rates in High-Risk Diabetic Foot Patients: A Multicenter, Prospective Observational Study. SHILAP Revista de lepidopterología. 55 indexed citations
12.
Wang, Cui, Yuli Li, Mei Yang, et al.. (2022). Gender-Specific Association Between Nighttime Sleep Duration and Falls Among Community-Dwelling Middle-Aged and Older Adults in China. Journal of Applied Gerontology. 41(12). 2511–2519. 2 indexed citations
14.
Li, Zhongtang, Zuotian Huang, Yunhai Luo, Hang Yang, & Mei Yang. (2022). DUSP9 alleviates hepatic ischemia/reperfusion injury by restraining both mitogen-activated protein kinase and IKK in an apoptosis signal-regulating kinase 1-dependent manner. Acta Biochimica et Biophysica Sinica. 54(12). 1811–1821. 5 indexed citations
15.
Song, Jiaxing, et al.. (2022). Endovascular treatment for distal basilar artery occlusion stroke. Frontiers in Neurology. 13. 931507–931507. 3 indexed citations
16.
Liu, Jie, Furong Zhu, Chao Zhang, et al.. (2019). The effects of cooking oil fumes-derived PM2.5 on blood vessel formation through ROS-mediated NLRP3 inflammasome pathway in human umbilical vein endothelial cells. Ecotoxicology and Environmental Safety. 174. 690–698. 40 indexed citations
17.
Jiang, Rong, Hui Li, Fei Gao, et al.. (2015). Phosphorylation of p38 MAPK mediates aquaporin 9 expression in rat brains during permanent focal cerebral ischaemia. Journal of Molecular Histology. 46(3). 273–281. 14 indexed citations
18.
Yang, Mei, Faming Pan, Jing Gao, et al.. (2010). Increased serum IL-17 and IL-23 in the patient with ankylosing spondylitis. Clinical Rheumatology. 30(2). 269–273. 188 indexed citations
19.
Li, Jinsong, Hongzhang Huang, Lijuan Sun, et al.. (2009). MiR-21 Indicates Poor Prognosis in Tongue Squamous Cell Carcinomas as an Apoptosis Inhibitor. Clinical Cancer Research. 15(12). 3998–4008. 351 indexed citations
20.
Yang, Mei. (2004). Characterization and comparison of general esterases from two field populations of the grasshopper Oxya chinensis (Thunberg) (Orthoptera: Acridoidea). Acta Entomologica Sinica. 2 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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