Mei Zhang

3.5k total citations
104 papers, 2.4k citations indexed

About

Mei Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Mei Zhang has authored 104 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 32 papers in Surgery and 28 papers in Molecular Biology. Recurrent topics in Mei Zhang's work include Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (11 papers). Mei Zhang is often cited by papers focused on Coronary Interventions and Diagnostics (17 papers), Cardiac Imaging and Diagnostics (14 papers) and Cardiovascular Function and Risk Factors (11 papers). Mei Zhang collaborates with scholars based in China, United States and Canada. Mei Zhang's co-authors include Min Jiang, Gea‐Ny Tseng, Yun Zhang, David A. Hart, Kevin A. Hildebrand, Yngve Olsson, Nan Lin, Jie Liu, Lina Zhang and Changyong Zhou and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Immunology.

In The Last Decade

Mei Zhang

98 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Zhang China 29 930 794 517 336 278 104 2.4k
Yasunori Shintani Japan 28 1.2k 1.3× 1.1k 1.3× 585 1.1× 242 0.7× 286 1.0× 58 2.7k
Sachiro Watanabe Japan 28 683 0.7× 787 1.0× 608 1.2× 378 1.1× 152 0.5× 80 2.2k
Shozo Kusachi Japan 32 827 0.9× 1.5k 1.9× 617 1.2× 388 1.2× 177 0.6× 167 3.0k
Christian Troidl Germany 33 1.0k 1.1× 1.7k 2.1× 682 1.3× 572 1.7× 257 0.9× 98 3.0k
Masako Mitsumata Japan 29 925 1.0× 336 0.4× 471 0.9× 185 0.6× 296 1.1× 65 2.5k
Kilian Rittig Germany 22 1.0k 1.1× 771 1.0× 617 1.2× 142 0.4× 193 0.7× 56 2.7k
Sharon L. Hale United States 34 996 1.1× 1.4k 1.7× 925 1.8× 424 1.3× 195 0.7× 101 3.8k
Masashi Arai Japan 33 1.5k 1.6× 1.2k 1.5× 275 0.5× 170 0.5× 196 0.7× 76 2.9k
Frank Spillmann Germany 32 881 0.9× 2.2k 2.8× 824 1.6× 212 0.6× 311 1.1× 68 3.5k
Mohsin Khan United States 32 1.5k 1.6× 600 0.8× 911 1.8× 139 0.4× 243 0.9× 83 3.0k

Countries citing papers authored by Mei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Zhang. A scholar is included among the top collaborators of Mei Zhang 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 Zhang. Mei Zhang 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.
Zhang, Yu, et al.. (2024). Optimal Combination of Right Ventricular Functional Parameters Using Echocardiography in Pulmonary Arterial Hypertension. ESC Heart Failure. 11(5). 2694–2706. 6 indexed citations
2.
Yuan, Fang, Xiaodong Yang, Mei Zhang, et al.. (2024). Cases of Monkeypox show highly-overlapping co-infection with HIV and syphilis. Frontiers in Public Health. 11. 1276821–1276821. 8 indexed citations
3.
Ma, Chang, Yihui Li, Mi Tian, et al.. (2024). Gsα Regulates Macrophage Foam Cell Formation During Atherosclerosis. Circulation Research. 134(7). e34–e51. 16 indexed citations
4.
Yang, Junjie, Xiaoqing Sun, Kan Wang, et al.. (2023). On-Site Computed Tomography–Derived Fractional Flow Reserve to Guide Management of Patients With Stable Coronary Artery Disease: The TARGET Randomized Trial. Circulation. 147(18). 1369–1381. 53 indexed citations
6.
Liu, Xiaolin, Xinxin Liu, Mengmeng Li, et al.. (2021). Mechanical Stretch Induces Smooth Muscle Cell Dysfunction by Regulating ACE2 via P38/ATF3 and Post-transcriptional Regulation by miR-421. Frontiers in Physiology. 11. 540591–540591. 16 indexed citations
7.
Chen, Yifei, Yu Zhang, Mengmeng Li, et al.. (2021). Traditional Chinese Medication Tongxinluo Attenuates Lipidosis in Ox-LDL-Stimulated Macrophages by Enhancing Beclin-1-Induced Autophagy. Frontiers in Pharmacology. 12. 673366–673366. 12 indexed citations
9.
Zhang, Shuguang, et al.. (2016). Utility of Hepatocyte Growth Factor as a Biomarker for Early Diagnosis of Pulmonary Artery Hypertension. Molecular Diagnosis & Therapy. 20(5). 463–468. 6 indexed citations
10.
Yao, Heng-Chen, Xiaoyun Li, Lanhua Wang, et al.. (2015). Elevated serum soluble ST2 levels may predict the fatal outcomes in patients with chronic heart failure. International Journal of Cardiology. 186. 303–304. 8 indexed citations
11.
Wang, Yuhong, Dimitar P. Zankov, Min Jiang, et al.. (2013). [Ca2+] Elevation and Oxidative Stress Induce KCNQ1 Protein Translocation from the Cytosol to the Cell Surface and Increase Slow Delayed Rectifier (IKs) in Cardiac Myocytes. Journal of Biological Chemistry. 288(49). 35358–35371. 23 indexed citations
12.
Wang, Yuhong, Mei Zhang, Yu Xu, et al.. (2012). Probing the structural basis for differential KCNQ1 modulation by KCNE1 and KCNE2. The Journal of General Physiology. 140(6). 653–669. 16 indexed citations
13.
Li, Chunhui, Shuxia Guo, Rulin Ma, et al.. (2012). [The epidemic situation of metabolic syndrome among the Uygur in Kashgar of Xinjiang in 2010].. PubMed. 46(5). 419–23. 5 indexed citations
14.
Liu, Xiao Ling, Pengfei Zhang, Yan Wang, et al.. (2012). Local Gene Silencing of Monocyte Chemoattractant Protein-1 Prevents Vulnerable Plaque Disruption in Apolipoprotein E-Knockout Mice. PLoS ONE. 7(3). e33497–e33497. 34 indexed citations
15.
Chen, Wen Qiang, Lin Zhong, Lei Zhang, et al.. (2009). Oral rapamycin attenuates inflammation and enhances stability of atherosclerotic plaques in rabbits independent of serum lipid levels. British Journal of Pharmacology. 156(6). 941–951. 85 indexed citations
16.
Li, Xiao‐Nan, Mei Zhang, Xing Li Wang, et al.. (2009). Up-regulation of thioredoxin interacting protein (Txnip) by p38 MAPK and FOXO1 contributes to the impaired thioredoxin activity and increased ROS in glucose-treated endothelial cells. Biochemical and Biophysical Research Communications. 381(4). 660–665. 101 indexed citations
17.
Zhong, Lin, Wen Qiang Chen, Xiao Ping Ji, et al.. (2008). Dominant‐negative mutation of monocyte chemoattractant protein‐1 prevents vulnerable plaques from rupture in rabbits independent of serum lipid levels. Journal of Cellular and Molecular Medicine. 12(6a). 2362–2371. 28 indexed citations
18.
Ding, Shifang, Mei Zhang, Yuxia Zhao, et al.. (2008). The Role of Carotid Plaque Vulnerability and Inflammation in the Pathogenesis of Acute Ischemic Stroke. The American Journal of the Medical Sciences. 336(1). 27–31. 51 indexed citations
19.
Lin, Huili, et al.. (2007). Adventitial lymphatic vessels – An important role in atherosclerosis. Medical Hypotheses. 69(6). 1238–1241. 22 indexed citations
20.
Liu, Zuguo, Yuhuan Xie, & Mei Zhang. (2002). Overexpression of type I growth factor receptors in pterygium.. PubMed. 115(3). 418–21. 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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