Dai‐Min Zhang

1.4k total citations
46 papers, 824 citations indexed

About

Dai‐Min Zhang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Dai‐Min Zhang has authored 46 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Cardiology and Cardiovascular Medicine and 8 papers in Surgery. Recurrent topics in Dai‐Min Zhang's work include Ion channel regulation and function (13 papers), Coronary Interventions and Diagnostics (8 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Dai‐Min Zhang is often cited by papers focused on Ion channel regulation and function (13 papers), Coronary Interventions and Diagnostics (8 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Dai‐Min Zhang collaborates with scholars based in China, United States and Australia. Dai‐Min Zhang's co-authors include Yanrong Zhu, Yu‐Fung Lin, Yongping Chai, Shao‐Liang Chen, Tong Lü, Tongrong He, Zvonimir S. Katušić, Hon-Chi Lee, Ri‐Cheng Chian and Chongxiu Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Dai‐Min Zhang

44 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dai‐Min Zhang China 17 409 291 122 109 78 46 824
Philipp S. Lange Germany 15 272 0.7× 395 1.4× 78 0.6× 93 0.9× 82 1.1× 67 961
Ildikó Toma United States 19 664 1.6× 369 1.3× 130 1.1× 197 1.8× 58 0.7× 29 1.4k
Bing‐Mei Zhu China 22 553 1.4× 228 0.8× 88 0.7× 172 1.6× 54 0.7× 72 1.4k
Zhenyu Xiong China 19 470 1.1× 374 1.3× 133 1.1× 175 1.6× 25 0.3× 65 1.0k
Kousaku Iwatsubo Japan 19 746 1.8× 240 0.8× 69 0.6× 146 1.3× 211 2.7× 36 1.3k
Yoichiro Kusakari Japan 17 679 1.7× 459 1.6× 135 1.1× 122 1.1× 94 1.2× 38 1.1k
Yuan Wu China 17 319 0.8× 201 0.7× 121 1.0× 54 0.5× 143 1.8× 57 873
Qing Zhou China 23 546 1.3× 240 0.8× 189 1.5× 125 1.1× 56 0.7× 52 1.2k
Gitte Lund Christensen Denmark 17 489 1.2× 153 0.5× 123 1.0× 91 0.8× 104 1.3× 35 768

Countries citing papers authored by Dai‐Min Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dai‐Min Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai‐Min Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dai‐Min Zhang. A scholar is included among the top collaborators of Dai‐Min 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 Dai‐Min Zhang. Dai‐Min 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, Dai‐Min, Kuok Ho Daniel Tang, & Phyllis Lau. (2025). Experiences and reflections of doctors on the operations of designated clinics during the COVID-19 pandemic in Hong Kong: a qualitative study. BMC Health Services Research. 25(1). 229–229.
2.
Zhang, Ziyue, et al.. (2024). Regulatory network analysis based on integrated miRNA-TF reveals key genes in heart failure. Scientific Reports. 14(1). 13896–13896. 5 indexed citations
3.
4.
Zhang, Xiao Lei, Bo Zhang, Chun Xiang Tang, et al.. (2023). Machine learning based ischemia-specific stenosis prediction: A Chinese multicenter coronary CT angiography study. European Journal of Radiology. 168. 111133–111133. 1 indexed citations
5.
Wang, Zhicheng, Xiaobo Li, Xiaoxin Jiang, et al.. (2022). Identification of Vital Modules and Genes Associated with Heart Failure Based on Weighted Gene Coexpression Network Analysis. ESC Heart Failure. 9(2). 1370–1379. 14 indexed citations
6.
Fan, Xing, Jingyu Li, Yiying Wang, et al.. (2022). Non-canonical NF-κB contributes to endothelial pyroptosis and atherogenesis dependent on IRF-1. Translational research. 255. 1–13. 22 indexed citations
7.
Jiang, Xiaoxin, Yanrong Zhu, Zhicheng Wang, et al.. (2022). Targeting the KCa3.1 channel suppresses diabetes-associated atherosclerosis via the STAT3/CD36 axis. Diabetes Research and Clinical Practice. 185. 109776–109776. 7 indexed citations
8.
Wang, Yiying, Qiannan Li, Zhiyang Zhang, et al.. (2022). mTOR contributes to endothelium-dependent vasorelaxation by promoting eNOS expression and preventing eNOS uncoupling. Communications Biology. 5(1). 726–726. 16 indexed citations
9.
Zhang, Dai‐Min, et al.. (2021). Melatonin Alleviates Age-Associated Endothelial Injury of Atherosclerosis via Regulating Telomere Function. Journal of Inflammation Research. Volume 14. 6799–6812. 21 indexed citations
10.
Wang, Zhicheng, et al.. (2021). Pathogenesis and Molecular Immune Mechanism of Calcified Aortic Valve Disease. Frontiers in Cardiovascular Medicine. 8. 765419–765419. 19 indexed citations
11.
Zhang, Dai‐Min, et al.. (2020). Predicting Psychological State Among Chinese Undergraduate Students in the COVID-19 Epidemic: A Longitudinal Study Using a Machine Learning. SHILAP Revista de lepidopterología. 4 indexed citations
12.
Zhang, Dai‐Min & Shao‐Liang Chen. (2020). In-Stent Restenosis and a Drug-Coated Balloon: Insights from a Clinical Therapeutic Strategy on Coronary Artery Diseases. Cardiology Research and Practice. 2020. 1–7. 18 indexed citations
13.
Zhang, Dai‐Min & Yu‐Fung Lin. (2020). Functional modulation of sarcolemmal KATP channels by atrial natriuretic peptide-elicited intracellular signaling in adult rabbit ventricular cardiomyocytes. American Journal of Physiology-Cell Physiology. 319(1). C194–C207. 6 indexed citations
14.
Wang, Li, et al.. (2020). Puerarin alleviates coronary heart disease via suppressing inflammation in a rat model. Gene. 771. 145354–145354. 17 indexed citations
15.
Zhu, Yanrong, Xiaoxin Jiang, & Dai‐Min Zhang. (2019). Critical regulation of atherosclerosis by the KCa3.1 channel and the retargeting of this therapeutic target in in-stent neoatherosclerosis. Journal of Molecular Medicine. 97(9). 1219–1229. 15 indexed citations
16.
Zhou, Fan, U. Joseph Schoepf, Christian Tesche, et al.. (2019). Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease. Canadian Journal of Cardiology. 35(11). 1523–1533. 16 indexed citations
17.
Wang, Ruxing, Tong Lü, Ying Wu, et al.. (2018). Mechanisms of BK Channel Activation by Docosahexaenoic Acid in Rat Coronary Arterial Smooth Muscle Cells. Frontiers in Pharmacology. 9. 223–223. 6 indexed citations
18.
19.
Timofeyev, Valeriy, Ning Li, Richard Myers, et al.. (2013). Critical roles of a small conductance Ca2+-activated K+ channel (SK3) in the repolarization process of atrial myocytes. Cardiovascular Research. 101(2). 317–325. 69 indexed citations
20.
Zhang, Dai‐Min, et al.. (2000). Negotiating With Experience. 10 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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