Yan Qü

499 total citations
22 papers, 344 citations indexed

About

Yan Qü is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Yan Qü has authored 22 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Yan Qü's work include Cancer-related molecular mechanisms research (5 papers), Cardiac Ischemia and Reperfusion (4 papers) and Circular RNAs in diseases (3 papers). Yan Qü is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Cardiac Ischemia and Reperfusion (4 papers) and Circular RNAs in diseases (3 papers). Yan Qü collaborates with scholars based in China, United States and Hong Kong. Yan Qü's co-authors include Jinqiao Qian, Wei Xiong, Jing Li, Qiusha Guo, Bing Xia, Yi Jiang, Haibing Xiao, Hongmei Chen, Hongmei Yang and Ke Chen and has published in prestigious journals such as The Lancet, Experimental Cell Research and Medicine.

In The Last Decade

Yan Qü

20 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yan Qü China	10	176	160	62	47	45	22	344
Vinod Kaimal United States	3	199 1.1×	62 0.4×	41 0.7×	53 1.1×	28 0.6×	3	320
Scott Tabar United States	1	160 0.9×	56 0.3×	36 0.6×	41 0.9×	25 0.6×	2	275
María José Alcaraz García Spain	11	134 0.8×	48 0.3×	15 0.2×	84 1.8×	41 0.9×	23	312
Jin Yu China	12	310 1.8×	176 1.1×	147 2.4×	21 0.4×	21 0.5×	29	500
Ahmed Elshafei Egypt	12	312 1.8×	316 2.0×	8 0.1×	25 0.5×	30 0.7×	28	494
Radhika Chadha United States	8	135 0.8×	43 0.3×	26 0.4×	107 2.3×	45 1.0×	14	333
Miki Miura Japan	10	103 0.6×	41 0.3×	69 1.1×	23 0.5×	51 1.1×	29	334
Ying Peng China	11	185 1.1×	34 0.2×	215 3.5×	22 0.5×	14 0.3×	44	500
Jiangjun Ma China	11	122 0.7×	58 0.4×	17 0.3×	88 1.9×	28 0.6×	18	325

Countries citing papers authored by Yan Qü

Since Specialization

Citations

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

Fields of papers citing papers by Yan Qü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Qü

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Qü. A scholar is included among the top collaborators of Yan Qü 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 Yan Qü. Yan Qü is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Long, Liang Zheng, Liang Huang, et al.. (2025). Non-invasive Modulation of Deep Brain Nuclei by Temporal Interference Stimulation. Neuroscience Bulletin. 41(5). 853–865. 1 indexed citations

Yan, Rui, et al.. (2025). Ultrasonography of the vagus nerve in Parkinson’s disease: a systematic review and meta-analysis. Neurological Sciences. 46(11). 5633–5642.

Li, Hua, et al.. (2023). Anesthetic management for emergency cesarean section in a patient with status epilepticus: A case report. Medicine. 102(48). e36331–e36331.

Xiong, Wei, Rui Zhou, Yan Qü, et al.. (2021). Dexmedetomidine preconditioning mitigates myocardial ischemia/reperfusion injury via inhibition of mast cell degranulation. Biomedicine & Pharmacotherapy. 141. 111853–111853. 20 indexed citations

Qü, Yan, et al.. (2021). Sevoflurane protects against cerebral ischemia/reperfusion injury via microrna-30c-5p modulating homeodomain-interacting protein kinase 1. Bioengineered. 12(2). 11858–11871. 7 indexed citations

Xiong, Wei, Rui Zhou, Yan Qü, et al.. (2021). Dexmedetomidine Preconditioning Mitigates Myocardial Ischemia/Reperfusion Injury via Inhibition of Mast Cell Degranulation. SSRN Electronic Journal. 2 indexed citations

Xiong, Wei, Rui Zhou, Yan Qü, et al.. (2020). Oxytocin ameliorates ischemia/reperfusion-induced injury by inhibiting mast cell degranulation and inflammation in the rat heart. Biomedicine & Pharmacotherapy. 128. 110358–110358. 21 indexed citations

Sun, Qiao, et al.. (2020). [Comparative study on nutritional status of patients in intensive care unit with different assessment tools].. PubMed. 32(1). 72–77. 2 indexed citations

Xiong, Wei, et al.. (2020). Implication of Regulatory Networks of Long Noncoding RNA/Circular RNA-miRNA-mRNA in Diabetic Cardiovascular Diseases. Epigenomics. 12(21). 1929–1947. 10 indexed citations

10.

Zhang, Chong, et al.. (2019). LncRNA SNHG3 promotes clear cell renal cell carcinoma proliferation and migration by upregulating TOP2A. Experimental Cell Research. 384(1). 111595–111595. 40 indexed citations

11.

Xiong, Wei, Yan Qü, Hongmei Chen, & Jinqiao Qian. (2019). Insight Into Long Noncoding RNA–miRNA–mRNA Axes in Myocardial Ischemia-Reperfusion Injury: The Implications for Mechanism and Therapy. Epigenomics. 11(15). 1733–1748. 41 indexed citations

12.

Yang, Wenjing, Yan Qü, Bingxu Tan, et al.. (2018). Prognostic significance of preoperative IKBKE expression in esophageal squamous cell carcinoma. OncoTargets and Therapy. Volume 11. 1305–1314. 9 indexed citations

13.

Qü, Yan, Haibing Xiao, Zhiyong Xiong, et al.. (2018). Upregulation of MIAT Regulates LOXL2 Expression by Competitively Binding MiR-29c in Clear Cell Renal Cell Carcinoma. Cellular Physiology and Biochemistry. 48(3). 1075–1087. 49 indexed citations

14.

Xiao, Haibing, Lin Bao, Hailong Ruan, et al.. (2017). Long non-coding RNA Lucat1 is a poor prognostic factor and demonstrates malignant biological behavior in clear cell renal cell carcinoma. Oncotarget. 8(69). 113622–113634. 34 indexed citations

15.

Yuan, Yongyi, Xue Gao, Bangqing Huang, et al.. (2016). Phenotypic Heterogeneity in a DFNA20/26 family segregating a novel ACTG1 mutation. BMC Genetics. 17(1). 33–33. 17 indexed citations

16.

Zhao, Fei, Jun Cheng, Hui Zhang, et al.. (2015). The Current Status and Challenges Regarding Tuberculosis Infection Control in Health Care Facilities in China.. PubMed. 28(11). 848–54. 7 indexed citations

17.

Chen, Shanquan, Yao Pan, Yan Qü, et al.. (2015). Mobile phone based interventions for promoting adherence to tuberculosis treatment: a systematic review and meta-analysis. The Lancet. 386. S29–S29. 4 indexed citations

18.

Guo, Qiusha, Bing Xia, Yi Jiang, Yan Qü, & Jing Li. (2004). NOD2 3020insC frameshift mutation is not associated with inflammatory bowel disease in Chinese patients of Han nationality. World Journal of Gastroenterology. 10(7). 1069–1069. 70 indexed citations

19.

Qü, Yan, et al.. (1996). Quantitative research for improving respiratory muscle contraction by breathing exercise.. PubMed. 109(10). 771–5. 6 indexed citations

20.

Qü, Yan, et al.. (1996). [A quantitative study on the effect of breathing exercises in improving respiratory muscle contration].. PubMed. 35(4). 235–8. 2 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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