Yanlin Yu

804 total citations
15 papers, 550 citations indexed

About

Yanlin Yu is a scholar working on Nephrology, Molecular Biology and Epidemiology. According to data from OpenAlex, Yanlin Yu has authored 15 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 4 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Yanlin Yu's work include Parathyroid Disorders and Treatments (6 papers), Chronic Kidney Disease and Diabetes (6 papers) and Dialysis and Renal Disease Management (3 papers). Yanlin Yu is often cited by papers focused on Parathyroid Disorders and Treatments (6 papers), Chronic Kidney Disease and Diabetes (6 papers) and Dialysis and Renal Disease Management (3 papers). Yanlin Yu collaborates with scholars based in China and United States. Yanlin Yu's co-authors include Jinghong Zhao, Ke Yang, Xinli Xu, Jiachuan Xiong, Tangli Xiao, Jingbo Zhang, Yunjian Huang, Ting He, Xianjin Bi and Ling Nie and has published in prestigious journals such as The FASEB Journal, Frontiers in Immunology and Frontiers in Microbiology.

In The Last Decade

Yanlin Yu

14 papers receiving 541 citations

Peers

Yanlin Yu
Yanlin Yu
Citations per year, relative to Yanlin Yu Yanlin Yu (= 1×) peers Xianjin Bi

Countries citing papers authored by Yanlin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yanlin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlin Yu

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

All Works

15 of 15 papers shown
1.
Chen, Xiang, Anqi Jin, Zhiqiang Jia, et al.. (2025). Microneedle-mediated exosome delivery: a precision strategy in advanced regenerative medicine. Journal of Materials Chemistry B. 13(42). 13477–13500.
2.
Wang, Mingshu, Anchun Cheng, Renyong Jia, et al.. (2022). Evaluation of the Safety and Immunogenicity of Duck-Plague Virus gE Mutants. Frontiers in Immunology. 13. 882796–882796. 10 indexed citations
3.
Wang, Mingshu, Anchun Cheng, Qiao Yang, et al.. (2022). UL11 Protein Is a Key Participant of the Duck Plague Virus in Its Life Cycle. Frontiers in Microbiology. 12. 792361–792361. 5 indexed citations
4.
Xiong, Jiachuan, et al.. (2021). The association between platelet indices and cardiovascular events in chronic kidney disease patients without dialysis. International Urology and Nephrology. 53(5). 961–971. 10 indexed citations
5.
Wang, Kailong, Yinghui Huang, Ke Yang, et al.. (2021). Clinicopathological features, risk factors, and outcomes of immunoglobulin A nephropathy associated with hepatitis B virus infection. Journal of Nephrology. 34(6). 1887–1896. 6 indexed citations
7.
Li, Yan, Yong Liu, Yinghui Huang, et al.. (2020). IRF‐1 promotes renal fibrosis by downregulation of Klotho. The FASEB Journal. 34(3). 4415–4429. 19 indexed citations
8.
He, Ting, Jiachuan Xiong, Yinghui Huang, et al.. (2019). Klotho restrain RIG-1/NF-κB signaling activation and monocyte inflammatory factor release under uremic condition. Life Sciences. 231. 116570–116570. 19 indexed citations
9.
Liu, Yong, Xianjin Bi, Jiachuan Xiong, et al.. (2019). MicroRNA-34a Promotes Renal Fibrosis by Downregulation of Klotho in Tubular Epithelial Cells. Molecular Therapy. 27(5). 1051–1065. 127 indexed citations
10.
Jiang, Wei, Tangli Xiao, Wenhao Han, et al.. (2019). Klotho inhibits PKCα/p66SHC-mediated podocyte injury in diabetic nephropathy. Molecular and Cellular Endocrinology. 494. 110490–110490. 43 indexed citations
11.
Yu, Yanlin, Xu Guan, Ling Nie, et al.. (2017). DNA hypermethylation of sFRP5 contributes to indoxyl sulfate-induced renal fibrosis. Journal of Molecular Medicine. 95(6). 601–613. 30 indexed citations
12.
Liu, Liang, Yong Liu, Ying Zhang, et al.. (2017). High phosphate-induced downregulation of PPARγ contributes to CKD-associated vascular calcification. Journal of Molecular and Cellular Cardiology. 114. 264–275. 42 indexed citations
13.
Zhang, Daohai, Xianjin Bi, Yong Liu, et al.. (2017). High Phosphate-Induced Calcification of Vascular Smooth Muscle Cells is Associated with the TLR4/NF-κb Signaling Pathway. Kidney & Blood Pressure Research. 42(6). 1205–1215. 59 indexed citations
14.
He, Ting, Jiachuan Xiong, Ling Nie, et al.. (2016). Resveratrol inhibits renal interstitial fibrosis in diabetic nephropathy by regulating AMPK/NOX4/ROS pathway. Journal of Molecular Medicine. 94(12). 1359–1371. 115 indexed citations
15.
Yang, Ke, Xinli Xu, Ling Nie, et al.. (2015). Indoxyl sulfate induces oxidative stress and hypertrophy in cardiomyocytes by inhibiting the AMPK/UCP2 signaling pathway. Toxicology Letters. 234(2). 110–119. 64 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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