Zhongqi Yang

894 total citations
24 papers, 589 citations indexed

About

Zhongqi Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Zhongqi Yang has authored 24 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Epidemiology. Recurrent topics in Zhongqi Yang's work include Cardiac Fibrosis and Remodeling (8 papers), Autophagy in Disease and Therapy (5 papers) and Advanced Glycation End Products research (5 papers). Zhongqi Yang is often cited by papers focused on Cardiac Fibrosis and Remodeling (8 papers), Autophagy in Disease and Therapy (5 papers) and Advanced Glycation End Products research (5 papers). Zhongqi Yang collaborates with scholars based in China and United Kingdom. Zhongqi Yang's co-authors include Lingjun Wang, Shaoxiang Xian, Yu‐Sheng Huang, Lu Zhang, Lu Lu, Birong Liang, Zixin Chen, Jiaqi He, Junyan Wang and Huan Li and has published in prestigious journals such as The FASEB Journal, British Journal of Pharmacology and Archives of Biochemistry and Biophysics.

In The Last Decade

Zhongqi Yang

23 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongqi Yang China 14 313 134 134 127 120 24 589
Songyan Meng China 10 467 1.5× 48 0.4× 151 1.1× 130 1.0× 67 0.6× 12 718
Birong Liang China 7 197 0.6× 111 0.8× 89 0.7× 65 0.5× 39 0.3× 12 358
Ruizheng Shi China 15 308 1.0× 91 0.7× 72 0.5× 140 1.1× 75 0.6× 44 645
Jinyu Pan China 12 352 1.1× 46 0.3× 69 0.5× 146 1.1× 115 1.0× 20 581
Zhe Wei China 13 396 1.3× 61 0.5× 223 1.7× 135 1.1× 78 0.7× 27 700
Shiqun Sun China 13 288 0.9× 48 0.4× 78 0.6× 104 0.8× 45 0.4× 34 559
Zhongwen Qi China 13 330 1.1× 39 0.3× 107 0.8× 116 0.9× 64 0.5× 18 500
Ignacio Norambuena‐Soto Chile 11 247 0.8× 67 0.5× 45 0.3× 82 0.6× 55 0.5× 20 504
Xiangquan Kong China 15 179 0.6× 77 0.6× 66 0.5× 119 0.9× 92 0.8× 36 546

Countries citing papers authored by Zhongqi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zhongqi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongqi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongqi Yang. A scholar is included among the top collaborators of Zhongqi 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 Zhongqi Yang. Zhongqi 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.
Liu, Huilin, et al.. (2025). Causal relationships between micronutrients and sarcopenia: a two-sample bidirectional Mendelian randomization study. Archives of Gerontology and Geriatrics. 137. 105917–105917.
2.
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Li, Ziru, Sijing Li, Xiaojiao Zhang, et al.. (2025). Huoxue Tongluo tablet enhances atherosclerosis efferocytosis by promoting the differentiation of Trem2+ macrophages via PPARγ signaling pathway. Phytomedicine. 140. 156579–156579. 6 indexed citations
4.
Ni, Shi-Hao, Xin Liu, Shuning Sun, et al.. (2024). Crosstalk between endothelial cells with a non-canonical EndoMT phenotype and cardiomyocytes/fibroblasts via IGFBP5 aggravates TAC-induced cardiac dysfunction. European Journal of Pharmacology. 966. 176378–176378. 7 indexed citations
5.
6.
Ni, Shi-Hao, Xiaojiao Zhang, Jin Li, et al.. (2023). Lobetyolin Alleviates Ferroptosis of Skeletal Muscle in 5/6 Nephrectomized Mice via Activation of Hedgehog-GLI1 Signaling. Phytomedicine. 115. 154807–154807. 20 indexed citations
7.
Zhang, Lu, Yining Guo, Jing Liu, et al.. (2022). Plantamajoside attenuates cardiac fibrosis via inhibiting AGEs activated‐RAGE/autophagy/EndMT pathway. Phytotherapy Research. 37(3). 834–847. 14 indexed citations
8.
Liu, Xin, Yue Li, Shi-Hao Ni, et al.. (2022). Zhen-Wu decoction and lactiflorin, an ingredient predicted by in silico modelling, alleviate uremia induced cardiac endothelial injury via Nrf2 activation. Journal of Ethnopharmacology. 298. 115579–115579. 8 indexed citations
9.
Ni, Shi-Hao, Xin Liu, Yue Li, et al.. (2022). A molecular phenotypic screen reveals that lobetyolin alleviates cardiac dysfunction in 5/6 nephrectomized mice by inhibiting osteopontin. Phytomedicine. 107. 154412–154412. 10 indexed citations
10.
Liang, Birong, Zheng Zhou, Zhongqi Yang, et al.. (2022). AGEs–RAGE axis mediates myocardial fibrosis via activation of cardiac fibroblasts induced by autophagy in heart failure. Experimental Physiology. 107(8). 879–891. 22 indexed citations
11.
Sun, Shuning, Shi-Hao Ni, Xin Liu, et al.. (2021). G-MDSCs promote aging-related cardiac fibrosis by activating myofibroblasts and preventing senescence. Cell Death and Disease. 12(6). 594–594. 43 indexed citations
12.
Zhang, Lu, Jiaqi He, Junyan Wang, et al.. (2021). Knockout RAGE alleviates cardiac fibrosis through repressing endothelial-to-mesenchymal transition (EndMT) mediated by autophagy. Cell Death and Disease. 12(5). 470–470. 71 indexed citations
13.
Luo, Yuanyuan, Haitao Tu, Zhongqi Yang, et al.. (2021). Long non-coding RNA MALAT1 silencing elevates microRNA-26a-5p to ameliorate myocardial injury in sepsis by reducing regulator of calcineurin 2. Archives of Biochemistry and Biophysics. 715. 109047–109047. 14 indexed citations
14.
Wang, Junyan, Bo Deng, Jing Liu, et al.. (2021). Xinyang Tablet inhibits MLK3-mediated pyroptosis to attenuate inflammation and cardiac dysfunction in pressure overload. Journal of Ethnopharmacology. 274. 114078–114078. 14 indexed citations
15.
Luo, Yuanyuan, Zhongqi Yang, Fengli Zhao, et al.. (2021). Knockdown of lncRNA PVT1 attenuated macrophage M1 polarization and relieved sepsis induced myocardial injury via miR-29a/HMGB1 axis. Cytokine. 143. 155509–155509. 32 indexed citations
16.
Wang, Junyan, Bo Deng, Qing Liu, et al.. (2020). Pyroptosis and ferroptosis induced by mixed lineage kinase 3 (MLK3) signaling in cardiomyocytes are essential for myocardial fibrosis in response to pressure overload. Cell Death and Disease. 11(7). 574–574. 170 indexed citations
17.
Chen, Zixin, Tong Luo, Lu Zhang, et al.. (2019). A simplified herbal formula for the treatment of heart failure: Efficacy, bioactive ingredients, and mechanisms. Pharmacological Research. 147. 104251–104251. 15 indexed citations
18.
Ni, Shi-Hao, Shuning Sun, Zheng Zhou, et al.. (2019). Arctigenin alleviates myocardial infarction injury through inhibition of the NFAT5-related inflammatory phenotype of cardiac macrophages/monocytes in mice. Laboratory Investigation. 100(4). 527–541. 16 indexed citations
19.
Ni, Shi-Hao, Shuning Sun, Yu‐Sheng Huang, et al.. (2019). The pleiotropic association between IL-10 levels and CVD prognosis: Evidence from a meta-analysis. Cytokine. 119. 37–46. 4 indexed citations
20.
Zhou, Zheng, Birong Liang, Yu‐Sheng Huang, et al.. (2018). Inhibiting Receptor of Advanced Glycation End Products Attenuates Pressure Overload-Induced Cardiac Dysfunction by Preventing Excessive Autophagy. Frontiers in Physiology. 9. 1333–1333. 39 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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