Qiulian Zhou

2.2k total citations
47 papers, 1.7k citations indexed

About

Qiulian Zhou is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Qiulian Zhou has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 20 papers in Cardiology and Cardiovascular Medicine and 19 papers in Cancer Research. Recurrent topics in Qiulian Zhou's work include MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (13 papers) and Cardiac Fibrosis and Remodeling (9 papers). Qiulian Zhou is often cited by papers focused on MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (13 papers) and Cardiac Fibrosis and Remodeling (9 papers). Qiulian Zhou collaborates with scholars based in China, United States and Romania. Qiulian Zhou's co-authors include Junjie Xiao, Yihua Bei, Saumya Das, Ping Chen, Siyi Fu, Jiahong Xu, Dongchao Lv, Joost P. G. Sluijter, Zheng Jiao and Qi Sun and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qiulian Zhou

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiulian Zhou China 26 1.1k 614 393 257 210 47 1.7k
Jinxuan Zhao China 22 1.1k 1.0× 493 0.8× 266 0.7× 175 0.7× 238 1.1× 40 1.8k
Alison J. Kriegel United States 24 1.1k 1.0× 1.0k 1.6× 235 0.6× 144 0.6× 225 1.1× 54 2.0k
Giuseppina Milano Italy 25 1.2k 1.1× 539 0.9× 523 1.3× 234 0.9× 277 1.3× 59 2.0k
Kirti Bhatt United States 24 1.7k 1.6× 781 1.3× 154 0.4× 367 1.4× 152 0.7× 26 2.3k
Yun Zhu China 23 1.3k 1.2× 387 0.6× 147 0.4× 146 0.6× 264 1.3× 88 2.2k
Philip Babij United States 26 2.1k 2.0× 326 0.5× 399 1.0× 425 1.7× 256 1.2× 37 3.4k
R. Clay Bunn United States 28 1.2k 1.2× 256 0.4× 164 0.4× 287 1.1× 312 1.5× 46 2.6k
Lianghui You China 23 1.3k 1.2× 1.2k 1.9× 129 0.3× 234 0.9× 190 0.9× 52 2.0k
Jianyun Yan China 26 1.2k 1.1× 329 0.5× 385 1.0× 249 1.0× 398 1.9× 52 2.1k
Zhongwei Yin China 23 1.2k 1.1× 929 1.5× 432 1.1× 101 0.4× 143 0.7× 38 1.8k

Countries citing papers authored by Qiulian Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Qiulian Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiulian Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Qiulian Zhou. A scholar is included among the top collaborators of Qiulian Zhou 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 Qiulian Zhou. Qiulian Zhou 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.
Pan, Ling, Xiaohui Shi, Xing Tong, et al.. (2025). ExerGeneDB: A physical exercise-regulated differential gene expression database. Journal of sport and health science. 14. 101027–101027. 3 indexed citations
2.
Sha, Lingjun, Jianhua Yao, Shuang Yang, et al.. (2024). Collaborative CRISPR‐Cas System‐Enabled Detection of Circulating Circular RNA for Reliable Monitoring of Acute Myocardial Infarction. Small. 20(45). e2402895–e2402895. 10 indexed citations
3.
Spanos, Michail, Xiaohui Shi, Guoping Li, et al.. (2023). Exercise and microbiome: From big data to therapy. Computational and Structural Biotechnology Journal. 21. 5434–5445. 5 indexed citations
4.
Liu, Qi, Jiali Deng, Yan Qiu, et al.. (2021). Non-coding RNA basis of muscle atrophy. Molecular Therapy — Nucleic Acids. 26. 1066–1078. 31 indexed citations
5.
6.
Zhou, Qiulian, Jiali Deng, Jianhua Yao, et al.. (2021). Exercise downregulates HIPK2 and HIPK2 inhibition protects against myocardial infarction. EBioMedicine. 74. 103713–103713. 40 indexed citations
7.
Li, Jin, Qiulian Zhou, Yajun Liang, et al.. (2018). miR-486 inhibits PM2.5-induced apoptosis and oxidative stress in human lung alveolar epithelial A549 cells. Annals of Translational Medicine. 6(11). 209–209. 63 indexed citations
8.
Bei, Yihua, Xiaoting Wu, Dragoş Crețoiu, et al.. (2018). miR-21 suppression prevents cardiac alterations induced by d-galactose and doxorubicin. Journal of Molecular and Cellular Cardiology. 115. 130–141. 41 indexed citations
9.
Zhou, Qiulian, Zhongrong Zhang, Yihua Bei, Guoping Li, & Tianhui Wang. (2018). Circular RNAs as Novel Biomarkers for Cardiovascular Diseases. Advances in experimental medicine and biology. 1087. 159–170. 28 indexed citations
10.
Li, Jin, Qiulian Zhou, Tingting Yang, et al.. (2018). SGK1 inhibits PM2.5-induced apoptosis and oxidative stress in human lung alveolar epithelial A549 cells. Biochemical and Biophysical Research Communications. 496(4). 1291–1295. 23 indexed citations
11.
Wang, Lijun, Xiangmin Meng, Guoping Li, Qiulian Zhou, & Junjie Xiao. (2018). Circular RNAs in Cardiovascular Diseases. Advances in experimental medicine and biology. 1087. 191–204. 27 indexed citations
12.
Wang, Hui, et al.. (2017). MicroRNA Expression Signature in Human Calcific Aortic Valve Disease. BioMed Research International. 2017. 1–7. 25 indexed citations
13.
Xiao, Junjie, Rongrong Gao, Yihua Bei, et al.. (2017). Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure. Cellular Physiology and Biochemistry. 41(3). 865–874. 48 indexed citations
14.
Zhang, Haifeng, Shanshan Li, Qiulian Zhou, et al.. (2016). Qiliqiangxin Attenuates Phenylephrine-Induced Cardiac Hypertrophy through Downregulation of MiR-199a-5p. Cellular Physiology and Biochemistry. 38(5). 1743–1751. 30 indexed citations
15.
Xu, Tianzhao, Qiulian Zhou, Lin Che, et al.. (2016). Circulating miR-21, miR-378, and miR-940 increase in response to an acute exhaustive exercise in chronic heart failure patients. Oncotarget. 7(11). 12414–12425. 63 indexed citations
16.
Wang, Hui, Yihua Bei, Peipei Huang, et al.. (2016). Inhibition of miR-155 Protects Against LPS-induced Cardiac Dysfunction and Apoptosis in Mice. Molecular Therapy — Nucleic Acids. 5(10). e374–e374. 89 indexed citations
17.
Zhou, Qiulian, Lei Wei, Chongjun Zhong, et al.. (2015). Cardiac telocytes are double positive for CD34/PDGFR‐α. Journal of Cellular and Molecular Medicine. 19(8). 2036–2042. 68 indexed citations
18.
Lv, Dongchao, Jingqi Liu, Cuimei Zhao, et al.. (2015). Targeting microRNAs in Pathological Hypertrophy and Cardiac Failure. Mini-Reviews in Medicinal Chemistry. 15(6). 475–478. 17 indexed citations
19.
Chen, Lei, Xiaoyan Cui, Zhourui Wu, et al.. (2014). Transplantation of bone marrow mesenchymal stem cells pretreated with valproic acid in rats with an acute spinal cord injury. BioScience Trends. 8(2). 111–119. 19 indexed citations
20.
He, Bin, Zhang Zhong, & Qiulian Zhou. (1996). [Clinical application of spleno-renal shunt].. PubMed. 34(7). 416–20. 1 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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