Xun Liu

2.1k total citations
85 papers, 1.4k citations indexed

About

Xun Liu is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Xun Liu has authored 85 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Nephrology, 15 papers in Cardiology and Cardiovascular Medicine and 13 papers in Epidemiology. Recurrent topics in Xun Liu's work include Chronic Kidney Disease and Diabetes (30 papers), Dialysis and Renal Disease Management (22 papers) and Liver Disease Diagnosis and Treatment (10 papers). Xun Liu is often cited by papers focused on Chronic Kidney Disease and Diabetes (30 papers), Dialysis and Renal Disease Management (22 papers) and Liver Disease Diagnosis and Treatment (10 papers). Xun Liu collaborates with scholars based in China, United States and Macao. Xun Liu's co-authors include Tanqi Lou, Hui Peng, Zengchun Ye, Hua Tang, Shaomin Li, Cheng Wang, Cheng Wang, Yanni Wang, Caixia Wang and Hui Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Xun Liu

85 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Liu China 23 490 325 270 153 131 85 1.4k
Jin Liu China 20 333 0.7× 355 1.1× 293 1.1× 116 0.8× 160 1.2× 121 1.3k
Christoph Schmaderer Germany 24 416 0.8× 282 0.9× 311 1.2× 143 0.9× 224 1.7× 128 1.8k
Yaping Zhang China 15 542 1.1× 142 0.4× 210 0.8× 180 1.2× 93 0.7× 56 1.2k
Ligia Petrică Romania 20 566 1.2× 239 0.7× 137 0.5× 205 1.3× 117 0.9× 138 1.4k
Sang Heon Song South Korea 22 826 1.7× 390 1.2× 265 1.0× 236 1.5× 284 2.2× 158 1.9k
Xiaowei Zhang China 22 420 0.9× 448 1.4× 128 0.5× 225 1.5× 230 1.8× 102 1.8k
Suree Lekawanvijit Thailand 21 470 1.0× 345 1.1× 350 1.3× 206 1.3× 221 1.7× 60 1.5k
Yi Tang China 21 564 1.2× 220 0.7× 168 0.6× 114 0.7× 156 1.2× 102 1.2k
Flaviu Bob Romania 20 458 0.9× 158 0.5× 119 0.4× 136 0.9× 114 0.9× 95 1.1k
Kyung Hwan Jeong South Korea 22 703 1.4× 445 1.4× 151 0.6× 160 1.0× 368 2.8× 129 1.7k

Countries citing papers authored by Xun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Liu. A scholar is included among the top collaborators of Xun Liu 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 Xun Liu. Xun Liu 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, Xiaotian, et al.. (2025). BiLSTM-AKEF hybrid driven lithium-ion battery SOC prediction model based on CEEMD with different distributions noises. Journal of Energy Storage. 111. 115437–115437. 5 indexed citations
3.
Wang, Xiaotian, et al.. (2024). Ensemble learning prediction model for lithium-ion battery remaining useful life based on embedded feature selection. Applied Soft Computing. 169. 112638–112638. 2 indexed citations
4.
Trief, Paula M., Brian Burke, Diane Uschner, et al.. (2024). Psychosocial Factors and Glycemic Control in Young Adults With Youth-Onset Type 2 Diabetes. JAMA Network Open. 7(4). e245620–e245620. 12 indexed citations
5.
Hu, Changchun, Shuo Li, Jie Zhou, et al.. (2024). In vitro SELEX and application of an African swine fever virus (ASFV) p30 protein specific aptamer. Scientific Reports. 14(1). 4078–4078. 6 indexed citations
6.
Ma, Tingting, Dan Wei, Xun Liu, et al.. (2023). Ultrasensitive Electrochemical Aptasensing of Malathion Based on Hydroxylated Black Phosphorus/Poly-L-Lysine Composite. Biosensors. 13(7). 735–735. 11 indexed citations
7.
Gao, Hongli, Ce Ji, Xiaopeng Yu, et al.. (2023). Targeting ubiquitin specific proteases (USPs) in cancer immunotherapy: from basic research to preclinical application. Journal of Experimental & Clinical Cancer Research. 42(1). 225–225. 59 indexed citations
8.
Guo, Xinghua, et al.. (2023). Metabolic implications of amino acid metabolites in chronic kidney disease progression: a metabolomics analysis using OPLS-DA and MBRole2.0 database. International Urology and Nephrology. 56(3). 1173–1184. 10 indexed citations
9.
Liu, Xun, et al.. (2022). Associations of Boiled Water and Lifespan Water Sources With Mortality: A Cohort Study of 33,467 Older Adults. Frontiers in Public Health. 10. 921738–921738. 2 indexed citations
10.
Zhu, Jialin, Sheng Zhang, Ruiguo Yu, et al.. (2021). An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images. Quantitative Imaging in Medicine and Surgery. 11(4). 1368–1380. 30 indexed citations
11.
Li, Ming, Zengchun Ye, Canming Li, et al.. (2020). The influence of cardiac valvular calcification on all-cause and cardiovascular mortality in maintenance hemodialysis patients. International Urology and Nephrology. 52(5). 943–951. 16 indexed citations
12.
Zhang, Xiaohao, Wenbo Zhao, Xinxin Ma, et al.. (2020). Prognostic value of pulmonary hypertension in pre-dialysis chronic kidney disease patients. International Urology and Nephrology. 52(12). 2329–2336. 6 indexed citations
13.
Wei, Xi, Ming Gao, Ruiguo Yu, et al.. (2020). Ensemble Deep Learning Model for Multicenter Classification of Thyroid Nodules on Ultrasound Images. Medical Science Monitor. 26. e926096–e926096. 33 indexed citations
14.
Li, Ming, Zengchun Ye, Canming Li, et al.. (2020). Low serum uric acid levels increase the risk of all-cause death and cardiovascular death in hemodialysis patients. Renal Failure. 42(1). 315–322. 20 indexed citations
15.
Fen, LI, Xiaohua Pei, Xun Liu, et al.. (2018). A comparison between 2017 FAS and 2012 CKD-EPI equations: a multi-center validation study in Chinese adult population. International Urology and Nephrology. 51(1). 139–146. 12 indexed citations
16.
Chen, Jinxia, Hua Tang, Hui Huang, et al.. (2015). Development and validation of new glomerular filtration rate predicting models for Chinese patients with type 2 diabetes. Journal of Translational Medicine. 13(1). 317–317. 11 indexed citations
17.
Liu, Xun, et al.. (2014). Modified Glomerular Filtration Rate-Estimating Equations Developed in Asiatic Population for Chinese Patients with Type 2 Diabetes. International Journal of Endocrinology. 2014. 1–9. 20 indexed citations
18.
Wang, Cheng, Xun Liu, Hui Peng, et al.. (2010). Mesangial Cells Stimulated by Immunoglobin A1 from IgA Nephropathy Upregulates Transforming Growth Factor-β1 Synthesis in Podocytes Via Renin-Angiotensin System Activation. Archives of Medical Research. 41(4). 255–260. 10 indexed citations
19.
Liu, Xun, et al.. (2009). Cross-sectional study of chronic kidney disease. 25(3). 296–298. 1 indexed citations
20.
Wang, Cheng, Zengchun Ye, Hui Peng, et al.. (2008). Effect of aggregated immunoglobulin A1 from immunoglobulin A nephropathy patients on nephrin expression in podocytes. Nephrology. 14(2). 213–218. 14 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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