Shuan Zhao

598 total citations
44 papers, 463 citations indexed

About

Shuan Zhao is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Shuan Zhao has authored 44 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 13 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Shuan Zhao's work include Acute Kidney Injury Research (12 papers), Reproductive Biology and Fertility (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Shuan Zhao is often cited by papers focused on Acute Kidney Injury Research (12 papers), Reproductive Biology and Fertility (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Shuan Zhao collaborates with scholars based in China, Japan and United States. Shuan Zhao's co-authors include Shenming Zeng, Yi Wu, Yi Fang, Xiaoqiang Ding, Yiqin Shi, Zhenxing Liu, Xuemei Geng, Jiarui Xu, Xiaoyan Wang and Xialian Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Shuan Zhao

40 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuan Zhao China 14 205 92 79 69 68 44 463
Isha Sharma India 14 272 1.3× 37 0.4× 106 1.3× 54 0.8× 128 1.9× 38 640
Miroslava Rabajdová Slovakia 12 169 0.8× 25 0.3× 55 0.7× 59 0.9× 11 0.2× 52 461
Donna S. Woodard United States 12 112 0.5× 52 0.6× 15 0.2× 88 1.3× 11 0.2× 14 426
Qiu Yan China 13 207 1.0× 74 0.8× 72 0.9× 73 1.1× 4 0.1× 28 474
Xiaoming Pan China 12 67 0.3× 65 0.7× 26 0.3× 32 0.5× 11 0.2× 53 376
Qian Gao China 12 197 1.0× 220 2.4× 33 0.4× 50 0.7× 3 0.0× 33 581
Alena V. Savenka United States 12 148 0.7× 23 0.3× 29 0.4× 66 1.0× 57 0.8× 22 464
Krishna P. Maremanda United States 14 294 1.4× 52 0.6× 99 1.3× 40 0.6× 10 0.1× 19 702
Yutaka Tonomura Japan 14 216 1.1× 19 0.2× 85 1.1× 27 0.4× 85 1.3× 22 509
Qin Huang China 11 108 0.5× 44 0.5× 29 0.4× 33 0.5× 10 0.1× 19 368

Countries citing papers authored by Shuan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Shuan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuan Zhao. A scholar is included among the top collaborators of Shuan Zhao 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 Shuan Zhao. Shuan Zhao 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.
Yang, Li, Shuan Zhao, Nana Song, et al.. (2025). Mac-1 Promotes Neutrophil Extracellular Traps Formation via ERK Phosphorylation in Renal Ischemia-Reperfusion Injury. Inflammation. 48(6). 4302–4317.
2.
Shi, Yiqin, Nana Song, Shuan Zhao, et al.. (2024). Associations between metabolic profiles and incident CKD in the Chinese population aged 45–85 years. International Urology and Nephrology. 56(7). 2325–2336. 3 indexed citations
3.
Xu, Wei, Junpeng Zhang, Shuan Zhao, et al.. (2023). Cobalt and sulfur co-doping induce nickel electron localization to enhance alkaline hydrogen evolution activity. Fuel. 352. 129087–129087. 14 indexed citations
4.
Zhang, Yang, Daxi Wang, Wei Lu, et al.. (2023). Downregulation of KLF10 contributes to the regeneration of survived renal tubular cells in cisplatin-induced acute kidney injury via ZBTB7A-KLF10-PTEN axis. Cell Death Discovery. 9(1). 82–82. 4 indexed citations
5.
Yang, Qiang, Yichun Ning, Shuan Zhao, et al.. (2023). A NOVEL RAT MODEL OF CONTRAST-INDUCED ACUTE KIDNEY INJURY BASED ON RENAL CONGESTION AND THE RENO-PROTECTION OF MITOCHONDRIAL FISSION INHIBITION. Shock. 59(6). 930–940. 3 indexed citations
6.
Jiang, Wuhua, Zhi Hong Chen, Jiarui Xu, et al.. (2023). Proteinuria is a risk factor for acute kidney injury after cardiac surgery in patients with stages 3–4 chronic kidney disease: a case control study. BMC Cardiovascular Disorders. 23(1). 77–77. 5 indexed citations
7.
Xu, Wei, Shuan Zhao, Junpeng Zhang, et al.. (2023). Insight into the role of sulfur in increasing intrinsic activity of Ni–Fe for efficient water splitting electrocatalysis. International Journal of Hydrogen Energy. 48(48). 18315–18325. 7 indexed citations
8.
Xu, Jiarui, Shuan Zhao, Weidong Zhang, et al.. (2023). Syndecan-1 shedding destroys epithelial adherens junctions through STAT3 after renal ischemia/reperfusion injury. iScience. 26(11). 108211–108211. 6 indexed citations
9.
Zhang, Yang, Jieru Cai, Wei Lu, et al.. (2022). Comprehensive Network-Based Analyses Reveal Novel Renal Function-Related Targets in Acute Kidney Injury. Frontiers in Genetics. 13. 907145–907145. 3 indexed citations
10.
Zhao, Shuan, et al.. (2021). Variations of tongue coating microbiota in children with Henoch-Schönlein purpura nephritis. Microbial Pathogenesis. 160. 105192–105192. 2 indexed citations
11.
Jiang, Wuhua, Xiaoyan Wang, Xuemei Geng, et al.. (2020). Novel predictive biomarkers for acute injury superimposed on chronic kidney disease. Nefrología. 41(2). 165–173. 7 indexed citations
12.
Zhao, Shuan, et al.. (2020). RacGAP1 ameliorates acute kidney injury by promoting proliferation and suppressing apoptosis of renal tubular cells. Biochemical and Biophysical Research Communications. 527(3). 624–630. 13 indexed citations
13.
Wang, Xiaoyan, Ning Xue, Shuan Zhao, et al.. (2020). Upregulation of miR-382 contributes to renal fibrosis secondary to aristolochic acid-induced kidney injury via PTEN signaling pathway. Cell Death and Disease. 11(8). 620–620. 33 indexed citations
14.
Hu, Jiachang, Yimei Wang, Shuan Zhao, et al.. (2018). Remote Ischemic Preconditioning Ameliorates Acute Kidney Injury due to Contrast Exposure in Rats through Augmented O‐GlcNAcylation. Oxidative Medicine and Cellular Longevity. 2018(1). 4895913–4895913. 13 indexed citations
15.
Zhao, Shuan, Zhenxing Liu, Hui Gao, et al.. (2015). A three-dimensional culture system using alginate hydrogel prolongs hatched cattle embryo development in vitro. Theriogenology. 84(2). 184–192. 31 indexed citations
17.
Zhao, Shuan, et al.. (2014). Recombinant bovine interferon-τ enhances in vitro development of bovine embryos by upregulating expression of connexin 43 and E-cadherin. Journal of Dairy Science. 97(11). 6917–6925. 16 indexed citations
18.
Wang, Xianlong, Kun Wang, Shuan Zhao, et al.. (2013). Oocyte-Secreted Growth Differentiation Factor 9 Inhibits BCL-2-Interacting Mediator of Cell Death-Extra Long Expression in Porcine Cumulus Cell1. Biology of Reproduction. 89(3). 56–56. 20 indexed citations
19.
20.
Zhao, Shuan. (2012). Clinical observation of acupuncturing "Qiaoming" on optic atrophy. 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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