Qing Yu

1.1k total citations
51 papers, 634 citations indexed

About

Qing Yu is a scholar working on Nephrology, Molecular Biology and Hematology. According to data from OpenAlex, Qing Yu has authored 51 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nephrology, 13 papers in Molecular Biology and 7 papers in Hematology. Recurrent topics in Qing Yu's work include Acute Kidney Injury Research (6 papers), Gout, Hyperuricemia, Uric Acid (4 papers) and Chronic Disease Management Strategies (3 papers). Qing Yu is often cited by papers focused on Acute Kidney Injury Research (6 papers), Gout, Hyperuricemia, Uric Acid (4 papers) and Chronic Disease Management Strategies (3 papers). Qing Yu collaborates with scholars based in China, United States and Japan. Qing Yu's co-authors include Weijie Yuan, Zixin Deng, Hui Xu, Tiangang Liu, Xiufen Zhou, Pei Liu, Shuxian An, Yimin Wang, David E. Cane and Delin You and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Qing Yu

47 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Yu China 17 228 130 101 92 72 51 634
Hisako Saito Japan 14 216 0.9× 162 1.2× 105 1.0× 44 0.5× 125 1.7× 39 831
Denyse Thornley‐Brown United States 12 101 0.4× 225 1.7× 38 0.4× 132 1.4× 40 0.6× 19 690
Lalita Subramanian United States 17 277 1.2× 209 1.6× 65 0.6× 29 0.3× 49 0.7× 27 840
Xiaomu Kong China 15 240 1.1× 46 0.4× 93 0.9× 39 0.4× 157 2.2× 42 717
Emily J. Cox United States 10 153 0.7× 39 0.3× 32 0.3× 88 1.0× 71 1.0× 31 605
Patricia Seo-Mayer United States 12 310 1.4× 139 1.1× 67 0.7× 32 0.3× 102 1.4× 21 641
Stephanie Wall United States 14 278 1.2× 50 0.4× 31 0.3× 28 0.3× 40 0.6× 27 751
Ching‐Chu Chen Taiwan 16 224 1.0× 36 0.3× 149 1.5× 50 0.5× 124 1.7× 50 812
Kengo Toyomura Japan 21 236 1.0× 39 0.3× 103 1.0× 55 0.6× 119 1.7× 30 989

Countries citing papers authored by Qing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Yu. A scholar is included among the top collaborators of Qing Yu 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 Qing Yu. Qing Yu 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.
Wang, Lijun, Zhihuang Zheng, Yu Cai, et al.. (2025). Kidney Damage in a Post–Hematopoietic Stem Cell Transplantation Patient With Dense Deposit Disease and Thrombotic Microangiopathy–Like Changes. Kidney International Reports. 10(9). 3284–3287.
2.
Han, Lin, Nicola Dalbeth, Qing Yu, et al.. (2024). The value of musculoskeletal ultrasound in predicting gout flares in index joints: A prospective cohort study of people with gout starting urate-lowering therapy. Seminars in Arthritis and Rheumatism. 67. 152418–152418. 1 indexed citations
3.
Ding, Jiashan, et al.. (2023). Analysis of hemi-uterus pregnancy outcomes in uterine malformations: a retrospective observational study. BMC Pregnancy and Childbirth. 23(1). 836–836.
4.
Luo, Jing, Qing Li, Xiang Zhang, et al.. (2023). POS0455 THE STATUS OF BREG CELLS AND BREG-RELATED CYTOKINES IN PATIENTS WITH RHEUMATOID ARTHRITIS. Annals of the Rheumatic Diseases. 82. 484–485. 1 indexed citations
5.
Zheng, Zhihuang, Kexin Xu, Chuanlei Li, et al.. (2021). NLRP3 associated with chronic kidney disease progression after ischemia/reperfusion-induced acute kidney injury. Cell Death Discovery. 7(1). 324–324. 33 indexed citations
6.
Zhang, Zilu, Jia Liu, Wenbin Xu, et al.. (2021). JaponiconeA induces apoptosis of bortezomib-sensitive and -resistant myeloma cells in vitro and in vivo by targeting IKKβ. Cancer Biology and Medicine. 19(5). 651–668. 5 indexed citations
7.
Li, Yaqin, et al.. (2019). Association between peripheral blood mononuclear cell ORMDL3 expression and the asthma predictive index in preschool children. Journal of International Medical Research. 47(8). 3727–3736. 3 indexed citations
8.
Kuo, Sheng‐Han, et al.. (2019). Restless legs syndrome in end stage renal disease patients undergoing hemodialysis. BMC Neurology. 19(1). 47–47. 35 indexed citations
9.
Zhang, Liang, et al.. (2018). Association of CD1 and FcγR gene polymorphisms with Guillain–Barré syndrome susceptibility: a meta-analysis. Neurological Sciences. 39(12). 2141–2149. 7 indexed citations
10.
Zhou, Yuan, et al.. (2018). Short-term effect of a smart nebulizing device on adherence to inhaled corticosteroid therapy in Asthma Predictive Index-positive wheezing children. Patient Preference and Adherence. Volume 12. 861–868. 14 indexed citations
11.
Huang, Zhijian, et al.. (2017). Values of combined detection of bronchoalveolar lavage fluid endotoxin and serum procalcitonin levels for the rapid diagnosis of early methicillinresistant Staphylococcus aureus-caused ventilator-associated pneumonia. Biomedical Research-tokyo. 28(11). 5032–5037.
12.
Wang, Yuxin, et al.. (2017). Detection of Apolipoprotein E Gene Polymorphism and Blood Lipid Level in Hemodialysis Patients. Journal of Clinical Medicine Research. 9(8). 695–700. 4 indexed citations
13.
Liu, Lijun, et al.. (2017). MTHFR C677T and A1298C polymorphisms may contribute to the risk of Parkinson’s disease: A meta-analysis of 19 studies. Neuroscience Letters. 662. 339–345. 12 indexed citations
14.
Xu, Hui, et al.. (2014). The long-term effect of community-based health management on the elderly with type 2 diabetes by the Markov modeling. Archives of Gerontology and Geriatrics. 59(2). 353–359. 8 indexed citations
15.
Li, Ting, Jun Liu, Shuxian An, Yan Dai, & Qing Yu. (2014). Body mass index and mortality in patients on maintenance hemodialysis: a meta-analysis. International Urology and Nephrology. 46(3). 623–631. 16 indexed citations
16.
Xu, Hui, et al.. (2014). The effect of integrated health management model on the health of older adults with diabetes in a randomized controlled trial. Archives of Gerontology and Geriatrics. 60(1). 82–88. 23 indexed citations
17.
Li, Yunyun, et al.. (2012). Health status and associated factors among the community-dwelling elderly in China. Archives of Gerontology and Geriatrics. 56(1). 199–204. 27 indexed citations
18.
19.
Yu, Qing, Hua Yu, Sheng Chen, Lijun Wang, & Weijie Yuan. (2011). Distribution and complications of native arteriovenous fistulas in maintenance hemodialysis patients: a single-center study. Journal of Nephrology. 24(5). 597–603. 23 indexed citations
20.
Liu, Tiangang, Delin You, Chiara R. Valenzano, et al.. (2006). Identification of NanE as the Thioesterase for Polyether Chain Release in Nanchangmycin Biosynthesis. Chemistry & Biology. 13(9). 945–955. 55 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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