Yunzhuo Ren

1.2k total citations
30 papers, 1.0k citations indexed

About

Yunzhuo Ren is a scholar working on Molecular Biology, Nephrology and Clinical Biochemistry. According to data from OpenAlex, Yunzhuo Ren has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Nephrology and 5 papers in Clinical Biochemistry. Recurrent topics in Yunzhuo Ren's work include Redox biology and oxidative stress (5 papers), Advanced Glycation End Products research (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Yunzhuo Ren is often cited by papers focused on Redox biology and oxidative stress (5 papers), Advanced Glycation End Products research (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Yunzhuo Ren collaborates with scholars based in China, Canada and Japan. Yunzhuo Ren's co-authors include Chunyang Du, Yonghong Shi, Huijun Duan, Haijiang Wu, Jinying Wei, Ming Wu, Yanjuan Hou, Ying Li, Xia Xiao and Yunxia Du and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Biochemical Journal.

In The Last Decade

Yunzhuo Ren

29 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunzhuo Ren China 20 536 264 148 136 127 30 1.0k
Haijiang Wu China 18 612 1.1× 220 0.8× 148 1.0× 126 0.9× 162 1.3× 27 1.1k
Xiaofen Xiong China 16 592 1.1× 285 1.1× 232 1.6× 145 1.1× 147 1.2× 22 1.2k
Qingjuan Liu China 23 523 1.0× 288 1.1× 112 0.8× 118 0.9× 92 0.7× 52 1.1k
Yunman Wang China 20 421 0.8× 365 1.4× 158 1.1× 91 0.7× 106 0.8× 36 1.1k
Jun Hao China 23 629 1.2× 264 1.0× 159 1.1× 96 0.7× 167 1.3× 57 1.3k
Inah Hwang South Korea 19 675 1.3× 131 0.5× 171 1.2× 130 1.0× 188 1.5× 28 1.2k
Guangju Guan China 23 543 1.0× 313 1.2× 129 0.9× 92 0.7× 187 1.5× 43 1.4k
Zhonggao Xu China 12 722 1.3× 218 0.8× 80 0.5× 149 1.1× 95 0.7× 18 1.2k
Tamotsu Yokota Japan 21 589 1.1× 338 1.3× 127 0.9× 149 1.1× 162 1.3× 37 1.4k

Countries citing papers authored by Yunzhuo Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yunzhuo Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunzhuo Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Yunzhuo Ren. A scholar is included among the top collaborators of Yunzhuo Ren 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 Yunzhuo Ren. Yunzhuo Ren 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.
Hu, Jian, Yunzhuo Ren, Mei Tang, et al.. (2025). Effects of vegetation restoration on infiltration patterns and preferential flow in semi-arid areas with shallowly buried soft bedrock (Pisha sandstone) in China. Journal of Hydrology. 661. 133546–133546. 2 indexed citations
2.
Du, Chunyang, Yan Zhu, Yan Yang, et al.. (2025). A-485 alleviates fibrosis and apoptosis in kidney by disrupting tandem activation of acetylation and phosphorylation on STAT3. Biomedicine & Pharmacotherapy. 188. 118217–118217.
3.
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5.
Tang, Mei, et al.. (2024). Seabuckthorn (Hippophae rhamnoides L.) plantation degradation aggravates microbial metabolic C and P limitations on the Northern Loess Plateau in China. The Science of The Total Environment. 945. 174088–174088. 3 indexed citations
6.
Du, Chunyang, Yan Zhu, Yan Yang, et al.. (2022). C1q/tumour necrosis factor-related protein-3 alleviates high-glucose-induced lipid accumulation and necroinflammation in renal tubular cells by activating the adenosine monophosphate-activated protein kinase pathway. The International Journal of Biochemistry & Cell Biology. 149. 106247–106247. 3 indexed citations
7.
Du, Chunyang, et al.. (2021). Single Cell Transcriptome Helps Better Understanding Crosstalk in Diabetic Kidney Disease. Frontiers in Medicine. 8. 657614–657614. 6 indexed citations
8.
Wu, Ming, Ruoyu Li, Yanjuan Hou, et al.. (2018). Thioredoxin-interacting protein deficiency ameliorates kidney inflammation and fibrosis in mice with unilateral ureteral obstruction. Laboratory Investigation. 98(9). 1211–1224. 27 indexed citations
9.
Song, Shan, Ming Wu, Haijiang Wu, et al.. (2018). Knockdown of NLRP3 alleviates high glucose or TGFB1-induced EMT in human renal tubular cells. Journal of Molecular Endocrinology. 61(3). 101–113. 74 indexed citations
10.
Du, Chunyang, Tao Zhang, Xia Xiao, et al.. (2017). Protease-activated receptor-2 promotes kidney tubular epithelial inflammation by inhibiting autophagy via the PI3K/Akt/mTOR signalling pathway. Biochemical Journal. 474(16). 2733–2747. 58 indexed citations
11.
Du, Chunyang, Fang Yao, Yunzhuo Ren, et al.. (2017). SOCS-1 is involved in TNF-α-induced mitochondrial dysfunction and apoptosis in renal tubular epithelial cells. Tissue and Cell. 49(5). 537–544. 15 indexed citations
12.
Xiao, Xia, Chunyang Du, Zhe Yan, et al.. (2017). Inhibition of Necroptosis Attenuates Kidney Inflammation and Interstitial Fibrosis Induced By Unilateral Ureteral Obstruction. American Journal of Nephrology. 46(2). 131–138. 51 indexed citations
13.
Ren, Yunzhuo, et al.. (2017). The Sirt1 activator, SRT1720, attenuates renal fibrosis by inhibiting CTGF and oxidative stress. International Journal of Molecular Medicine. 39(5). 1317–1324. 84 indexed citations
14.
Du, Chunyang, Yunzhuo Ren, Fang Yao, et al.. (2017). Sphingosine kinase 1 protects renal tubular epithelial cells from renal fibrosis via induction of autophagy. The International Journal of Biochemistry & Cell Biology. 90. 17–28. 46 indexed citations
15.
Du, Chunyang, Ming Wu, Huan Liu, et al.. (2016). Thioredoxin-interacting protein regulates lipid metabolism via Akt/mTOR pathway in diabetic kidney disease. The International Journal of Biochemistry & Cell Biology. 79. 1–13. 43 indexed citations
16.
Duan, Huijun, Chunyang Du, Yonghong Shi, et al.. (2015). Anthocyanins inhibit high-glucose-induced cholesterol accumulation and inflammation by activating LXRα pathway in HK-2 cells. Drug Design Development and Therapy. 9. 5099–5099. 41 indexed citations
17.
Wei, Jinying, Yonghong Shi, Yanjuan Hou, et al.. (2013). Knockdown of thioredoxin-interacting protein ameliorates high glucose-induced epithelial to mesenchymal transition in renal tubular epithelial cells. Cellular Signalling. 25(12). 2788–2796. 68 indexed citations
18.
Shi, Yonghong, Yunzhuo Ren, Lijuan Zhao, et al.. (2011). Knockdown of thioredoxin interacting protein attenuates high glucose-induced apoptosis and activation of ASK1 in mouse mesangial cells. FEBS Letters. 585(12). 1789–1795. 33 indexed citations
19.
Zhang, Qingxian, Yonghong Shi, Jun Wada, et al.. (2010). In Vivo Delivery of Gremlin siRNA Plasmid Reveals Therapeutic Potential against Diabetic Nephropathy by Recovering Bone Morphogenetic Protein-7. PLoS ONE. 5(7). e11709–e11709. 58 indexed citations
20.
Ren, Yunzhuo, Yonghong Shi, Yuehua Wang, et al.. (2010). p38 MAPK pathway is involved in high glucose‐induced thioredoxin interacting protein induction in mouse mesangial cells. FEBS Letters. 584(15). 3480–3485. 26 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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