Lingyu Xu

447 total citations
24 papers, 242 citations indexed

About

Lingyu Xu is a scholar working on Nephrology, Epidemiology and Molecular Biology. According to data from OpenAlex, Lingyu Xu has authored 24 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nephrology, 6 papers in Epidemiology and 5 papers in Molecular Biology. Recurrent topics in Lingyu Xu's work include Acute Kidney Injury Research (12 papers), Chronic Kidney Disease and Diabetes (8 papers) and Advanced Nanomaterials in Catalysis (3 papers). Lingyu Xu is often cited by papers focused on Acute Kidney Injury Research (12 papers), Chronic Kidney Disease and Diabetes (8 papers) and Advanced Nanomaterials in Catalysis (3 papers). Lingyu Xu collaborates with scholars based in China and Germany. Lingyu Xu's co-authors include Chenyu Li, Guan Chen, Yan Xu, Long Zhao, Bin Zhou, Lin Che, Hong Luan, Congjuan Luo, Yanfei Wang and Xiaofei Man and has published in prestigious journals such as British Journal Of Nutrition, Colloids and Surfaces B Biointerfaces and Frontiers in Pharmacology.

In The Last Decade

Lingyu Xu

22 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingyu Xu China 9 111 57 34 31 31 24 242
Salvador López-Giacoman Mexico 3 123 1.1× 56 1.0× 36 1.1× 27 0.9× 32 1.0× 4 305
Filippo Fani Italy 6 149 1.3× 47 0.8× 21 0.6× 62 2.0× 38 1.2× 16 308
Jingai Fang China 9 95 0.9× 93 1.6× 30 0.9× 97 3.1× 58 1.9× 24 316
Yating Hou China 11 120 1.1× 71 1.2× 25 0.7× 27 0.9× 27 0.9× 19 270
Martha Catalina Morales-Álvarez United States 7 61 0.5× 53 0.9× 12 0.4× 59 1.9× 38 1.2× 16 301
Na Jia China 10 25 0.2× 62 1.1× 40 1.2× 39 1.3× 40 1.3× 30 304
Nans Florens France 10 135 1.2× 59 1.0× 29 0.9× 93 3.0× 31 1.0× 29 341
Zhongai Gao China 9 122 1.1× 47 0.8× 39 1.1× 32 1.0× 16 0.5× 17 282
Zehra Eren Türkiye 9 118 1.1× 21 0.4× 71 2.1× 64 2.1× 28 0.9× 22 281
Soon Kil Kwon South Korea 10 88 0.8× 52 0.9× 28 0.8× 39 1.3× 52 1.7× 48 268

Countries citing papers authored by Lingyu Xu

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingyu Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Lingyu Xu. A scholar is included among the top collaborators of Lingyu Xu 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 Lingyu Xu. Lingyu Xu 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.
Xu, Lingyu, Chenyu Li, Xinyuan Wang, et al.. (2025). Development and validation of risk prediction models for acute kidney disease in gout patients: a retrospective study using machine learning. European journal of medical research. 30(1). 660–660.
2.
Xu, Lingyu, Chenyu Li, Chen Guan, et al.. (2024). Personalized prediction of mortality in patients with acute ischemic stroke using explainable artificial intelligence. European journal of medical research. 29(1). 341–341. 5 indexed citations
3.
4.
Guan, Chen, Chenyu Li, Dongjiang Yang, et al.. (2024). Enhanced Renal Carcinoma Treatment via Synergistic Photothermal/Photodynamic Therapy Using Hittorf's Phosphorus‐Decorated Polymeric Carbon Nitride Heterostructure. Advanced Optical Materials. 12(14). 3 indexed citations
5.
Li, Tianyang, Chen Guan, Lingyu Xu, et al.. (2024). Facile synthesis of MoS2@red phosphorus heterojunction for synergistically photodynamic and photothermal therapy of renal cell carcinoma. Colloids and Surfaces B Biointerfaces. 241. 114031–114031. 8 indexed citations
6.
Wang, Xinyuan, Lingyu Xu, Guan Chen, et al.. (2024). Machine learning-based risk prediction of acute kidney disease and hospital mortality in older patients. Frontiers in Medicine. 11. 1407354–1407354.
7.
Xu, Lingyu, Chenyu Li, Chen Guan, et al.. (2024). Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach. Renal Failure. 46(2). 2438858–2438858. 1 indexed citations
8.
Xu, Lingyu, Chenyu Li, Na Li, et al.. (2023). Incidence and prognosis of acute kidney injury versus acute kidney disease among 71 041 inpatients. Clinical Kidney Journal. 16(11). 1993–2002. 13 indexed citations
9.
Zhou, Bin, Jiaqi Zhang, Chenyu Li, et al.. (2023). Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG. Renal Failure. 45(1). 2212800–2212800. 3 indexed citations
10.
Chen, Guan, Chenyu Li, Xuefei Shen, et al.. (2023). Hexarelin alleviates apoptosis on ischemic acute kidney injury via MDM2/p53 pathway. European journal of medical research. 28(1). 344–344. 4 indexed citations
11.
Chen, Guan, Chenyu Li, Lingyu Xu, et al.. (2023). Hospitalized patients received furosemide undergoing acute kidney injury: the risk and prediction tool. European journal of medical research. 28(1). 312–312. 5 indexed citations
12.
Xia, Wenkai, et al.. (2022). Prognostic significance of albumin to alkaline phosphatase ratio in critically ill patients with acute kidney injury. Clinical and Experimental Nephrology. 26(9). 917–924. 3 indexed citations
13.
Chen, Guan, Chenyu Li, Lingyu Xu, et al.. (2022). Tilianin Reduces Apoptosis via the ERK/EGR1/BCL2L1 Pathway in Ischemia/Reperfusion-Induced Acute Kidney Injury Mice. Frontiers in Pharmacology. 13. 862584–862584. 19 indexed citations
14.
Chen, Guan, Chenyu Li, Chengyu Yang, et al.. (2022). Calycosin attenuates renal ischemia/reperfusion injury by suppressing NF-κB mediated inflammation via PPARγ/EGR1 pathway. Frontiers in Pharmacology. 13. 970616–970616. 25 indexed citations
15.
16.
Xu, Lingyu, Chenyu Li, Long Zhao, et al.. (2020). Acute kidney injury after nephrectomy: a new nomogram to predict postoperative renal function. BMC Nephrology. 21(1). 181–181. 17 indexed citations
17.
18.
Li, Guozheng, Guan Chen, Lingyu Xu, et al.. (2020). Scutellarin Ameliorates Renal Injury via Increasing CCN1 Expression and Suppressing NLRP3 Inflammasome Activation in Hyperuricemic Mice. Frontiers in Pharmacology. 11. 584942–584942. 33 indexed citations
19.
Li, Chenyu, Lingyu Xu, Guan Chen, et al.. (2019). Malnutrition screening and acute kidney injury in hospitalised patients: a retrospective study over a 5-year period from China. British Journal Of Nutrition. 123(3). 337–346. 36 indexed citations
20.
Chen, Guan, Chenyu Li, Lingyu Xu, et al.. (2019). Risk factors of cardiac surgery-associated acute kidney injury: development and validation of a perioperative predictive nomogram. Journal of Nephrology. 32(6). 937–945. 47 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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