Shao-Bin Duan

3.3k total citations
39 papers, 606 citations indexed

About

Shao-Bin Duan is a scholar working on Nephrology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Shao-Bin Duan has authored 39 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Nephrology, 9 papers in Epidemiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Shao-Bin Duan's work include Acute Kidney Injury Research (23 papers), Sepsis Diagnosis and Treatment (8 papers) and Dialysis and Renal Disease Management (7 papers). Shao-Bin Duan is often cited by papers focused on Acute Kidney Injury Research (23 papers), Sepsis Diagnosis and Treatment (8 papers) and Dialysis and Renal Disease Management (7 papers). Shao-Bin Duan collaborates with scholars based in China, United States and Qatar. Shao-Bin Duan's co-authors include Ping Yan, Xi Wu, Xuwei Li, Qian Liu, Hongshen Wang, Fuyou Liu, Xiangjie Duan, Yixin Kang, Shikun Yang and Lixin Feng and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Kidney International.

In The Last Decade

Shao-Bin Duan

38 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao-Bin Duan China 17 307 149 129 99 55 39 606
Kaiyang Lin China 13 179 0.6× 125 0.8× 108 0.8× 82 0.8× 58 1.1× 66 586
Rachel J. Santora United States 10 176 0.6× 167 1.1× 54 0.4× 104 1.1× 68 1.2× 17 497
Zeyuan Lu China 15 246 0.8× 249 1.7× 68 0.5× 112 1.1× 63 1.1× 29 715
Alexa Wonnacott United Kingdom 9 282 0.9× 186 1.2× 61 0.5× 65 0.7× 44 0.8× 13 576
Mihaela L. Lie United States 9 275 0.9× 111 0.7× 61 0.5× 73 0.7× 73 1.3× 15 493
Chun‐Cheng Hou Taiwan 12 316 1.0× 300 2.0× 43 0.3× 101 1.0× 56 1.0× 19 699
Anne-Louise Hemdahl Sweden 6 261 0.9× 111 0.7× 138 1.1× 119 1.2× 124 2.3× 7 582
Mladen Knotek Croatia 13 269 0.9× 151 1.0× 99 0.8× 107 1.1× 102 1.9× 45 719
Seokwoo Park South Korea 13 190 0.6× 91 0.6× 44 0.3× 160 1.6× 79 1.4× 36 524

Countries citing papers authored by Shao-Bin Duan

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Bin Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Bin Duan. 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 Shao-Bin Duan. The network helps show where Shao-Bin Duan may publish in the future.

Co-authorship network of co-authors of Shao-Bin Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Bin Duan. A scholar is included among the top collaborators of Shao-Bin Duan 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 Shao-Bin Duan. Shao-Bin Duan 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
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Wang, Hongshen, et al.. (2025). Major Adverse Kidney Events in Hospitalized Older Patients With Acute Kidney Injury: Machine Learning–Based Model Development and Validation Study. Journal of Medical Internet Research. 27. e52786–e52786. 1 indexed citations
3.
Cai, Juan, Jia Wei, Min Yi, et al.. (2025). UBC9-associated SUMOylation contributes to β-catenin activation and kidney fibrosis. Kidney International. 108(4). 642–657. 1 indexed citations
4.
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Wang, Xiufen, et al.. (2023). Causal effects of rheumatoid arthritis or ankylosing spondylitis on membranous nephropathy: a two-sample Mendelian randomization study. Clinical Kidney Journal. 16(12). 2605–2613. 5 indexed citations
6.
Kang, Yixin, et al.. (2023). Association of underweight and obesity with adverse postoperative renal outcomes in infants and young children undergoing congenital heart surgery. European Journal of Pediatrics. 182(8). 3691–3700. 2 indexed citations
7.
Kang, Yixin, et al.. (2023). Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study. Journal of Medical Internet Research. 25. e41142–e41142. 27 indexed citations
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Wang, Hongshen, Xi Wu, Qian Liu, et al.. (2022). Effects of mesenchymal stem cells in renovascular disease of preclinical and clinical studies: a systematic review and meta-analysis. Scientific Reports. 12(1). 18080–18080. 5 indexed citations
10.
Yan, Ping, Shao-Bin Duan, Yixin Kang, et al.. (2022). Development and Validation of Machine Learning Models for Real-Time Mortality Prediction in Critically Ill Patients With Sepsis-Associated Acute Kidney Injury. Frontiers in Medicine. 9. 853102–853102. 24 indexed citations
11.
Zhu, Xuejing, Li Xiao, Liyu He, et al.. (2022). Association of Bowman’s capsule rupture with prognosis in patients with lupus nephritis. Journal of Nephrology. 35(4). 1193–1204. 2 indexed citations
12.
Wu, Xi, Ping Yan, Lixin Feng, et al.. (2020). Novel risk models to predict acute kidney disease and its outcomes in a Chinese hospitalized population with acute kidney injury. Scientific Reports. 10(1). 15636–15636. 26 indexed citations
13.
Li, Xuwei, et al.. (2019). Non-coding RNA-Associated ceRNA Networks in a New Contrast-Induced Acute Kidney Injury Rat Model. Molecular Therapy — Nucleic Acids. 17. 102–112. 43 indexed citations
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Luo, Min, Yang Yuan, Wei Cheng, et al.. (2017). A new scoring model for the prediction of mortality in patients with acute kidney injury. Scientific Reports. 7(1). 7862–7862. 27 indexed citations
16.
Chen, Guochun, Zheng Dong, Hong Liu, et al.. (2016). mTOR Signaling Regulates Protective Activity of Transferred CD4+Foxp3+ T Cells in Repair of Acute Kidney Injury. The Journal of Immunology. 197(10). 3917–3926. 33 indexed citations
17.
Duan, Shao-Bin, et al.. (2013). Mitochondria-targeted peptides prevent on contrast-induced acute kidney injury in the rats with hypercholesterolemia. Renal Failure. 35(8). 1124–1129. 20 indexed citations
18.
Li, Ying, Qiong Chen, Fuyou Liu, et al.. (2011). Norcantharidin inhibits the expression of extracellular matrix and TGF-β1 in HK-2 cells induced by high glucose independent of calcineurin signal pathway. Laboratory Investigation. 91(12). 1706–1716. 12 indexed citations
19.
Yin, Wenqing, et al.. (2011). p-Aminophenol and p-paraphenylenediamine induce injury and apoptosis of human HK-2 proximal tubular epithelial cells. Journal of Nephrology. 25(4). 481–489. 7 indexed citations
20.
Zhu, Xuejing, Guanghui Ling, Li Xiao, et al.. (2010). Role of mitochondrial respiratory chain complex III in high glucose peritoneal dialysate-induced hyperpermeability of HPMCs. Renal Failure. 32(9). 1103–1108. 4 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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