Qizhu Tang

9.9k total citations · 5 hit papers
226 papers, 7.7k citations indexed

About

Qizhu Tang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Qizhu Tang has authored 226 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Molecular Biology, 105 papers in Cardiology and Cardiovascular Medicine and 31 papers in Cancer Research. Recurrent topics in Qizhu Tang's work include Cardiac Fibrosis and Remodeling (58 papers), Signaling Pathways in Disease (31 papers) and Cardiovascular Function and Risk Factors (27 papers). Qizhu Tang is often cited by papers focused on Cardiac Fibrosis and Remodeling (58 papers), Signaling Pathways in Disease (31 papers) and Cardiovascular Function and Risk Factors (27 papers). Qizhu Tang collaborates with scholars based in China, United States and Japan. Qizhu Tang's co-authors include Zhen‐Guo Ma, Wei Deng, Xin Zhang, Yu‐Pei Yuan, Hai‐Ming Wu, Si‐Chi Xu, Qingqing Wu, Zheng Yang, Zhou‐Yan Bian and Can Hu and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qizhu Tang

218 papers receiving 7.7k citations

Hit Papers

FNDC5 alleviates oxidative stress and cardiomyocyte apopt... 2019 2026 2021 2023 2019 2020 2022 2023 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qizhu Tang China 46 3.7k 2.5k 937 926 797 226 7.7k
Yi Tan China 54 4.7k 1.3× 1.3k 0.5× 968 1.0× 874 0.9× 591 0.7× 190 8.8k
Wei Deng China 40 3.0k 0.8× 1.4k 0.6× 874 0.9× 736 0.8× 749 0.9× 151 5.8k
Lorrie A. Kirshenbaum Canada 50 4.4k 1.2× 2.1k 0.8× 989 1.1× 1.7k 1.8× 565 0.7× 124 7.4k
Bernhard Schieffer Germany 40 2.3k 0.6× 2.7k 1.1× 510 0.5× 902 1.0× 1.6k 2.0× 158 6.9k
Hideyuki Yamawaki Japan 43 2.2k 0.6× 1.4k 0.6× 660 0.7× 1.2k 1.3× 603 0.8× 169 5.8k
De‐Pei Liu China 49 4.1k 1.1× 1.1k 0.4× 1.1k 1.1× 912 1.0× 797 1.0× 242 8.0k
Xiaoping Yang China 45 2.9k 0.8× 1.3k 0.5× 829 0.9× 475 0.5× 682 0.9× 208 6.5k
Guo‐Qing Zhu China 49 3.1k 0.8× 2.1k 0.9× 925 1.0× 800 0.9× 628 0.8× 275 8.5k
Jun‐ichi Abe United States 58 5.6k 1.5× 2.0k 0.8× 833 0.9× 476 0.5× 1.6k 1.9× 236 10.5k
Gemma Vilahur Spain 45 1.9k 0.5× 2.6k 1.0× 622 0.7× 1.0k 1.1× 990 1.2× 206 7.2k

Countries citing papers authored by Qizhu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Qizhu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qizhu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Qizhu Tang. A scholar is included among the top collaborators of Qizhu Tang 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 Qizhu Tang. Qizhu Tang 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
3.
Hu, Min, Shi‐Yu Huang, Yuxin Hu, et al.. (2025). KLF12 Aggravates Angiotensin II‐Induced Cardiac Remodeling in Male Mice by Transcriptionally Inhibiting SMAD7. Journal of the American Heart Association. 14(3). e037455–e037455. 1 indexed citations
4.
Huang, R. Stephanie, Dan Huang, Shuhong Zhao, et al.. (2025). Microbiota-indole-3-propionic acid-heart axis mediates the protection of leflunomide against αPD1-induced cardiotoxicity in mice. Nature Communications. 16(1). 2651–2651. 6 indexed citations
5.
Zhang, Meng, et al.. (2025). ACAA2 lactylation and expression mediate mitochondrial dysfunction in phenylephrine-induced cardiomyocyte hypertrophy. Biochemical and Biophysical Research Communications. 781. 152518–152518.
6.
Kong, Chun‐Yan, Zhen Guo, Pan Wang, et al.. (2025). Adamts1 Exacerbates Post‐Myocardial Infarction Scar Formation via Mechanosensing of Integrin α8. Advanced Science. 12(46). e04138–e04138.
7.
Che, Yan, Yuting Liu, Zhaopeng Wang, et al.. (2024). Cardiac tumour necrosis factor receptor-associated factor 7 mediates the ubiquitination of apoptosis signal-regulating kinase 1 and aggravates cardiac hypertrophy. Cardiovascular Research. 120(16). 2031–2046. 4 indexed citations
8.
Wei, Ye, Bo Shen, Qizhu Tang, et al.. (2024). Identification of a novel immune infiltration-related gene signature, MCEMP1, for coronary artery disease. PeerJ. 12. e18135–e18135.
9.
Wu, Qingqing, et al.. (2023). Dapagliflozin protects against chronic heart failure in mice by inhibiting macrophage-mediated inflammation, independent of SGLT2. Cell Reports Medicine. 4(12). 101334–101334. 50 indexed citations
10.
Xie, Saiyang, Yun Xing, Min Zhang, et al.. (2023). USP28 Serves as a Key Suppressor of Mitochondrial Morphofunctional Defects and Cardiac Dysfunction in the Diabetic Heart. Circulation. 149(9). 684–706. 64 indexed citations
11.
Cai, Zhulan, Bo Shen, Chen Liu, et al.. (2020). The effect of HMGA1 in LPS-induced Myocardial Inflammation. International Journal of Biological Sciences. 16(11). 1798–1810. 37 indexed citations
12.
Liu, Huimin, Wei Li, Yang Wu, et al.. (2020). Role of adiponectin in diabetes myocardial ischemia-reperfusion injury and ischemic postconditioning. Acta Cirúrgica Brasileira. 35(1). e202000107–e202000107. 12 indexed citations
13.
Yang, Jian, Wei Shuai, Jun Yang, et al.. (2020). Deletion of Microfibrillar‐Associated Protein 4 Attenuates Left Ventricular Remodeling and Dysfunction in Heart Failure. Journal of the American Heart Association. 9(17). e015307–e015307. 25 indexed citations
14.
Guo, Zhen, et al.. (2020). TLR9 deficiency alleviates doxorubicin‐induced cardiotoxicity via the regulation of autophagy. Journal of Cellular and Molecular Medicine. 24(18). 10913–10923. 38 indexed citations
15.
Yang, Xiao & Qizhu Tang. (2016). GW27-e0515 Evodiamine attenuates TGF-β1-induced endothelial to mesenchymal transition and myofiroblast differentiation. Journal of the American College of Cardiology. 68(16). C21–C21. 1 indexed citations
16.
Yang, Zheng & Qizhu Tang. (2016). GW27-e0437 Daidzein attenuates pressure overload-induced cardiac remodeling via inactivating mitochondrial pathway of apoptosis. Journal of the American College of Cardiology. 68(16). C18–C18. 1 indexed citations
17.
Yuan, Yuan, Heng Zhou, Qingqing Wu, et al.. (2015). Puerarin attenuates the inflammatory response and apoptosis in LPS-stimulated cardiomyocytes. Experimental and Therapeutic Medicine. 11(2). 415–420. 34 indexed citations
18.
Liu, Yuan, et al.. (2015). [Lycopene attenuates angiotensin II induced oxidative stress in H9c2 cells].. PubMed. 43(4). 341–6. 4 indexed citations
19.
Guan, Hongjing, Li Zhu, Yuanyuan Guo, et al.. (2012). Indole-3-carbinol blocks platelet-derived growth factor-stimulated vascular smooth muscle cell function and reduces neointima formation in vivo. The Journal of Nutritional Biochemistry. 24(1). 62–69. 11 indexed citations
20.
Huang, Zhengrong, Lianglong Chen, Weihua Li, et al.. (2007). Interventricular septum motion abnormalities: unexpected echocardiographic changes of Brugada syndrome. Chinese Medical Journal. 120(21). 1898–1901. 3 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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