Le‐Ting Zhou

1.3k total citations
36 papers, 966 citations indexed

About

Le‐Ting Zhou is a scholar working on Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Le‐Ting Zhou has authored 36 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Nephrology, 16 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Le‐Ting Zhou's work include Renal Diseases and Glomerulopathies (12 papers), Chronic Kidney Disease and Diabetes (11 papers) and Extracellular vesicles in disease (5 papers). Le‐Ting Zhou is often cited by papers focused on Renal Diseases and Glomerulopathies (12 papers), Chronic Kidney Disease and Diabetes (11 papers) and Extracellular vesicles in disease (5 papers). Le‐Ting Zhou collaborates with scholars based in China and United States. Le‐Ting Zhou's co-authors include Bi‐Cheng Liu, Zuo‐Lin Li, Lin‐Li Lv, Steven D. Crowley, Feng Ye, Hai-Feng Ni, Tao‐Tao Tang, Jing-Yuan Cao, Yi Wen and Hong Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Kidney International.

In The Last Decade

Le‐Ting Zhou

31 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Le‐Ting Zhou China 17 546 358 193 151 135 36 966
Jose L. Viñas Canada 13 549 1.0× 196 0.5× 272 1.4× 93 0.6× 70 0.5× 20 895
Anna Żuk United States 14 501 0.9× 465 1.3× 71 0.4× 162 1.1× 90 0.7× 24 1.2k
Yoshiharu Muto Japan 15 492 0.9× 233 0.7× 75 0.4× 92 0.6× 118 0.9× 42 917
Gabriela Campanholle United States 13 319 0.6× 375 1.0× 52 0.3× 131 0.9× 128 0.9× 15 845
Jianxin Wan China 17 253 0.5× 314 0.9× 62 0.3× 161 1.1× 102 0.8× 71 793
Guangjie Guo United States 10 604 1.1× 422 1.2× 64 0.3× 72 0.5× 254 1.9× 11 1.1k
Ni Yin China 18 284 0.5× 105 0.3× 142 0.7× 112 0.7× 134 1.0× 49 735
Szu‐Yu Pan Taiwan 15 255 0.5× 282 0.8× 66 0.3× 100 0.7× 90 0.7× 36 760
Makiko Matsumoto Japan 17 390 0.7× 281 0.8× 336 1.7× 55 0.4× 163 1.2× 53 1.3k
Lucie Hénaut France 15 254 0.5× 400 1.1× 96 0.5× 54 0.4× 133 1.0× 33 818

Countries citing papers authored by Le‐Ting Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Le‐Ting Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Le‐Ting Zhou. 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 Le‐Ting Zhou. The network helps show where Le‐Ting Zhou may publish in the future.

Co-authorship network of co-authors of Le‐Ting Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Le‐Ting Zhou. A scholar is included among the top collaborators of Le‐Ting Zhou 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 Le‐Ting Zhou. Le‐Ting Zhou 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.
Qian, Fengcui, Lidong Li, Yanyu Li, et al.. (2025). DiabetesOmic: A comprehensive multi-omics diabetes database. Computational and Structural Biotechnology Journal. 27. 2147–2154. 1 indexed citations
2.
Zhou, Meiyi, Xue Jing, Bin Liu, et al.. (2025). Clinical study of PLA2R epitope spreading for predicting proteinuria remission in primary membranous nephropathy. Frontiers in Immunology. 16. 1685738–1685738.
3.
Zhou, Le‐Ting, Muthuvel Jayachandran, Peter C. Harris, et al.. (2025). The Genetic Associations Between Kidney Stones, Obesity, Type 2 Diabetes, and Hypertension. Mayo Clinic Proceedings. 100(11). 1883–1896.
4.
Zhou, Le‐Ting, Muthuvel Jayachandran, Peter C. Harris, et al.. (2024). Association between Kidney Stones and CKD. Journal of the American Society of Nephrology. 35(12). 1746–1757. 3 indexed citations
5.
Zhou, Le‐Ting, Xue Jing, Zhijian Zhang, et al.. (2024). Predictive value of the domain specific PLA2R antibodies for clinical remission in patients with primary membranous nephropathy: A retrospective study. PLoS ONE. 19(5). e0302100–e0302100. 6 indexed citations
6.
7.
8.
Ni, Lihua, et al.. (2022). The Correlation between Ferroptosis and m6A Methylation in Patients with Acute Kidney Injury. Kidney & Blood Pressure Research. 47(8). 523–533. 21 indexed citations
9.
Ni, Lihua, et al.. (2022). Expression of Ferroptosis-Related Genes is Correlated with Immune Microenvironment in Diabetic Kidney Disease. Diabetes Metabolic Syndrome and Obesity. Volume 15. 4049–4064. 4 indexed citations
10.
11.
Zhang, Zhijian, Le‐Ting Zhou, Ting Cai, et al.. (2022). Identification of CCL19 as a Novel Immune-Related Biomarker in Diabetic Nephropathy. Frontiers in Genetics. 13. 830437–830437. 8 indexed citations
12.
Cao, Jing-Yuan, Le‐Ting Zhou, Zuo‐Lin Li, et al.. (2020). Dopamine D1 receptor agonist A68930 attenuates acute kidney injury by inhibiting NLRP3 inflammasome activation. Journal of Pharmacological Sciences. 143(3). 226–233. 19 indexed citations
13.
Zhou, Le‐Ting, Lin‐Li Lv, & Bi‐Cheng Liu. (2019). Urinary Biomarkers of Renal Fibrosis. Advances in experimental medicine and biology. 1165. 607–623. 13 indexed citations
14.
Zhou, Le‐Ting, Lin‐Li Lv, Qing Yin, et al.. (2019). Bioinformatics-based discovery of the urinary BBOX1 mRNA as a potential biomarker of diabetic kidney disease. Journal of Translational Medicine. 17(1). 59–59. 18 indexed citations
15.
Ye, Feng, Yi Wen, Weijun Wu, et al.. (2018). Exosomal CCL2 from Tubular Epithelial Cells Is Critical for Albumin-Induced Tubulointerstitial Inflammation. Journal of the American Society of Nephrology. 29(3). 919–935. 193 indexed citations
16.
Li, Zuo‐Lin, Lin‐Li Lv, Tao‐Tao Tang, et al.. (2018). HIF-1α inducing exosomal microRNA-23a expression mediates the cross-talk between tubular epithelial cells and macrophages in tubulointerstitial inflammation. Kidney International. 95(2). 388–404. 186 indexed citations
17.
Tu, Yan, Le‐Ting Zhou, Mingming Pan, et al.. (2018). Peridialysis BP levels and risk of all-cause mortality: a dose-response meta-analysis. Journal of Human Hypertension. 33(1). 41–49. 3 indexed citations
18.
Zhou, Le‐Ting, Yuhan Cao, Lin‐Li Lv, et al.. (2017). Feature selection and classification of urinary mRNA microarray data by iterative random forest to diagnose renal fibrosis: a two-stage study. Scientific Reports. 7(1). 39832–39832. 23 indexed citations
19.
Zhou, Le‐Ting, et al.. (2016). Laparoscopic versus traditional peritoneal dialysis catheter insertion: a meta analysis. Renal Failure. 38(5). 838–848. 18 indexed citations
20.
Zhou, Le‐Ting, Lin‐Li Lv, Mingming Pan, et al.. (2016). Are Urinary Tubular Injury Markers Useful in Chronic Kidney Disease? A Systematic Review and Meta Analysis. PLoS ONE. 11(12). e0167334–e0167334. 28 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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