BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Liao WL, Chang CT, Chen CC, Lee WJ, Lin SY, Liao HY, Wu CM, Chang YW, Chen CJ, Tsai FJ. Urinary Proteomics for the Early Diagnosis of Diabetic Nephropathy in Taiwanese Patients. J Clin Med 2018;7:E483. [PMID: 30486327 DOI: 10.3390/jcm7120483] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 González MA, Barrera-Chacón R, Peña FJ, Fernández-Cotrina J, Robles NR, Pérez-Merino EM, Martín-Cano FE, Duque FJ. Urinary proteome of dogs with renal disease secondary to leishmaniosis. Res Vet Sci 2022;149:108-18. [PMID: 35777279 DOI: 10.1016/j.rvsc.2022.04.013] [Reference Citation Analysis]
2 Chebotareva N, Vinogradov A, McDonnell V, Zakharova NV, Indeykina MI, Moiseev S, Nikolaev EN, Kononikhin AS. Urinary Protein and Peptide Markers in Chronic Kidney Disease. Int J Mol Sci 2021;22:12123. [PMID: 34830001 DOI: 10.3390/ijms222212123] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
3 Dagar N, Das P, Bisht P, Taraphdar AK, Velayutham R, Arumugam S. Diabetic nephropathy: A twisted thread to unravel. Life Sci 2021;278:119635. [PMID: 34015285 DOI: 10.1016/j.lfs.2021.119635] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
4 Li KX, Ji MJ, Sun HJ. An updated pharmacological insight of resveratrol in the treatment of diabetic nephropathy. Gene 2021;780:145532. [PMID: 33631244 DOI: 10.1016/j.gene.2021.145532] [Cited by in F6Publishing: 11] [Reference Citation Analysis]
5 Zheng XM, Yang FY, Chen X, Yang YH, Zhu XR, Chen C, Yang JK. Development of a sensitive and reliable ELISA kit of urinary haptoglobin to predict progress of diabetic kidney disease. Diabetes Metab Res Rev 2021;37:e3432. [PMID: 33400837 DOI: 10.1002/dmrr.3432] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Li Y, Hou JG, Liu Z, Gong XJ, Hu JN, Wang YP, Liu WC, Lin XH, Wang Z, Li W. Alleviative effects of 20(R)-Rg3 on HFD/STZ-induced diabetic nephropathy via MAPK/NF-κB signaling pathways in C57BL/6 mice. J Ethnopharmacol 2021;267:113500. [PMID: 33091499 DOI: 10.1016/j.jep.2020.113500] [Cited by in Crossref: 2] [Cited by in F6Publishing: 13] [Article Influence: 1.0] [Reference Citation Analysis]
7 Khan NU, Lin J, Liu X, Li H, Lu W, Zhong Z, Zhang H, Waqas M, Shen L. Insights into predicting diabetic nephropathy using urinary biomarkers. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2020;1868:140475. [DOI: 10.1016/j.bbapap.2020.140475] [Cited by in Crossref: 4] [Cited by in F6Publishing: 16] [Article Influence: 2.0] [Reference Citation Analysis]
8 Sun Y, Wang F, Zhou Z, Teng J, Su Y, Chi H, Wang Z, Hu Q, Jia J, Liu T, Liu H, Cheng X, Shi H, Tan Y, Yang C, Ye J. Urinary Proteomics Identifying Novel Biomarkers for the Diagnosis of Adult-Onset Still's Disease. Front Immunol 2020;11:2112. [PMID: 33013889 DOI: 10.3389/fimmu.2020.02112] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
9 Jiang W, Ma T, Zhang C, Tang X, Xu Q, Meng X, Ma T. Identification of urinary candidate biomarkers of cisplatin-induced nephrotoxicity in patients with carcinoma. Journal of Proteomics 2020;210:103533. [DOI: 10.1016/j.jprot.2019.103533] [Cited by in Crossref: 4] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
10 Fu H, Liu S, Bastacky SI, Wang X, Tian XJ, Zhou D. Diabetic kidney diseases revisited: A new perspective for a new era. Mol Metab. 2019;30:250-263. [PMID: 31767176 DOI: 10.1016/j.molmet.2019.10.005] [Cited by in Crossref: 30] [Cited by in F6Publishing: 59] [Article Influence: 10.0] [Reference Citation Analysis]
11 Makino M, Yoshimoto R, Ono M, Itoko T, Katsuki T, Koseki A, Kudo M, Haida K, Kuroda J, Yanagiya R, Saitoh E, Hoshinaga K, Yuzawa Y, Suzuki A. Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning. Sci Rep 2019;9:11862. [PMID: 31413285 DOI: 10.1038/s41598-019-48263-5] [Cited by in Crossref: 26] [Cited by in F6Publishing: 46] [Article Influence: 8.7] [Reference Citation Analysis]
12 Lu H, Deng S, Zheng M, Hu K. iTRAQ plasma proteomics analysis for candidate biomarkers of type 2 incipient diabetic nephropathy. Clin Proteomics 2019;16:33. [PMID: 31384238 DOI: 10.1186/s12014-019-9253-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]