Mingjing Zhao

1.2k total citations · 1 hit paper
69 papers, 962 citations indexed

About

Mingjing Zhao is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine. According to data from OpenAlex, Mingjing Zhao has authored 69 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Cardiology and Cardiovascular Medicine and 9 papers in Complementary and alternative medicine. Recurrent topics in Mingjing Zhao's work include Cardiac Fibrosis and Remodeling (8 papers), Traditional Chinese Medicine Analysis (7 papers) and Connexins and lens biology (5 papers). Mingjing Zhao is often cited by papers focused on Cardiac Fibrosis and Remodeling (8 papers), Traditional Chinese Medicine Analysis (7 papers) and Connexins and lens biology (5 papers). Mingjing Zhao collaborates with scholars based in China and United States. Mingjing Zhao's co-authors include Yingdong Lu, Xiangning Cui, Aiming Wu, Lixia Lou, Wang Shuo-ren, Zhilin Jiang, Hongchen Lin, Dongmei Zhang, Laiyun Xin and Yizhou Zhao and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The FASEB Journal.

In The Last Decade

Mingjing Zhao

68 papers receiving 951 citations

Hit Papers

Role of Oxidative Stress ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjing Zhao China 16 462 272 170 150 130 69 962
Xiao‐Hong Wei China 20 526 1.1× 245 0.9× 324 1.9× 98 0.7× 184 1.4× 63 1.1k
Dazhuo Shi China 19 431 0.9× 266 1.0× 274 1.6× 117 0.8× 51 0.4× 81 1.0k
Lan Li China 13 388 0.8× 202 0.7× 164 1.0× 81 0.5× 83 0.6× 25 908
Xiaohu Chen China 14 429 0.9× 114 0.4× 135 0.8× 136 0.9× 73 0.6× 48 808
Xiaoyi Bao China 19 450 1.0× 108 0.4× 197 1.2× 114 0.8× 64 0.5× 26 911
Shen‐Jiang Hu China 20 685 1.5× 420 1.5× 95 0.6× 251 1.7× 99 0.8× 84 1.3k
Xue Dong China 18 509 1.1× 149 0.5× 49 0.3× 140 0.9× 105 0.8× 47 994
Dalin Jia China 19 448 1.0× 144 0.5× 55 0.3× 236 1.6× 202 1.6× 40 862

Countries citing papers authored by Mingjing Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Mingjing Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjing Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjing Zhao. A scholar is included among the top collaborators of Mingjing 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 Mingjing Zhao. Mingjing Zhao 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.
Ling, Ming Tat, et al.. (2025). Associations between serum biomarkers and gut microbial imbalance in predicting chemotherapy response in colorectal cancer: A retrospective analysis. World Journal of Gastrointestinal Oncology. 17(8). 108870–108870.
2.
Li, Yang, et al.. (2023). Effectiveness and pharmacological mechanisms of Chinese herbal medicine for coronary heart disease complicated with heart failure. Journal of Ethnopharmacology. 322. 117605–117605. 8 indexed citations
3.
Li, Tong, et al.. (2023). The changes of cardiac energy metabolism with sodium-glucose transporter 2 inhibitor therapy. Frontiers in Cardiovascular Medicine. 10. 1291450–1291450. 8 indexed citations
4.
Guo, Qianqian, Dandan Wu, Aiming Wu, et al.. (2023). Bioinformatics prediction and experimental verification of a novel microRNA for myocardial fibrosis after myocardial infarction in rats. PeerJ. 11. e14851–e14851. 1 indexed citations
6.
Li, Tong, Xiaowan Han, Shiqi Chen, et al.. (2022). Effects of Exercise on Extracellular Vesicles in Patients with Metabolic Dysfunction: a Systematic Review. Journal of Cardiovascular Translational Research. 16(1). 97–111. 6 indexed citations
7.
Jiang, Yangyang, Lei Wang, Ziwen Lu, et al.. (2022). Brain Imaging Changes and Related Risk Factors of Cognitive Impairment in Patients With Heart Failure. Frontiers in Cardiovascular Medicine. 8. 838680–838680. 7 indexed citations
8.
Meng, Hui, Lei Wang, Shiqi Chen, et al.. (2021). Mesenchymal Stem Cell Exosomes in the Treatment of Myocardial Infarction: a Systematic Review of Preclinical In Vivo Studies. Journal of Cardiovascular Translational Research. 15(2). 317–339. 13 indexed citations
9.
Han, Xiaowan, Yang Li, H. J. Yang, et al.. (2021). Exercise and Circulating Microparticles in Healthy Subjects. Journal of Cardiovascular Translational Research. 14(5). 841–856. 7 indexed citations
10.
Wang, Lei, Aiming Wu, Tong Li, et al.. (2020). Qiliqiangxin Capsules Optimize Cardiac Metabolism Flexibility in Rats With Heart Failure After Myocardial Infarction. Frontiers in Physiology. 11. 805–805. 25 indexed citations
11.
Lu, Yingdong, Zhilin Jiang, Dandan Zhang, et al.. (2020). Guanxinshutong Alleviates Atherosclerosis by Suppressing Oxidative Stress and Proinflammation in ApoE−/− Mice. Evidence-based Complementary and Alternative Medicine. 2020(1). 1219371–1219371. 6 indexed citations
12.
Wang, Ziwei, Mingjing Zhao, Weiliang Sun, et al.. (2019). Velvet Antler Mobilizes Endothelial Progenitor Cells to Promote Angiogenesis and Repair Vascular Endothelial Injury in Rats Following Myocardial Infarction. Frontiers in Physiology. 9. 1940–1940. 18 indexed citations
13.
14.
Wu, Aiming, Mingjing Zhao, Lixia Lou, et al.. (2017). Effect of Wenxin Granules on Gap Junction and MiR-1 in Rats with Myocardial Infarction. BioMed Research International. 2017. 1–12. 14 indexed citations
15.
Chen, Xi, et al.. (2017). Yiqi Huoxue prescription can prevent and treat post-MI myocardial remodeling through promoting the expression of AMPK signal pathway. Journal of Traditional Chinese Medical Sciences. 4(3). 235–244. 3 indexed citations
16.
Yang, Tao, et al.. (2016). Connotation and modern scientific evidence for"heart controlling mental activities". 39(10). 814. 1 indexed citations
17.
Cui, Xiangning, Jiän Zhang, Yubo Li, et al.. (2015). Effects of Qili Qiangxin Capsule on AQP2, V2R, and AT1R in Rats with Chronic Heart Failure. Evidence-based Complementary and Alternative Medicine. 2015. 1–11. 13 indexed citations
18.
Zhao, Mingjing, Ying Gao, Lingling Wang, et al.. (2013). Overexpression of Integrin-linked Kinase Promotes Lung Cancer Cell Migration and Invasion via NF-κB-mediated Upregulation of Matrix Metalloproteinase-9. International Journal of Medical Sciences. 10(8). 995–1002. 34 indexed citations
19.
Shao, Mingjing, Wang Shuo-ren, Mingjing Zhao, et al.. (2012). THE EFFECTS OF VELVET ANTLER OF DEER ON CARDIAC FUNCTIONS OF RATS WITH HEART FAILURE FOLLOWING MYOCARDIAL INFARCTION. Heart. 98(Suppl 2). E288.3–E289. 17 indexed citations
20.
Wang, Qun, et al.. (2011). Prognostic significance of RIN1 gene expression in human non-small cell lung cancer. Acta Histochemica. 114(5). 463–468. 16 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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