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Cited by in CrossRef
For: Liu DD, Hu HY, Li FF, Hu QY, Liu MW, Hao YJ, Li B. Spatial transcriptomics meets diabetic kidney disease: Illuminating the path to precision medicine. World J Diabetes 2025; 16(9): 107663 [PMID: 40980298 DOI: 10.4239/wjd.v16.i9.107663]
URL: https://www.wjgnet.com/1948-9358/full/v16/i9/107663.htm
Number Citing Articles
1
Yiming Li, Tingkun Ma, Hao Lu, Yiping Yan, Yucheng Xue, Jinmeng Suo, Yusheng Chen, Zhiyong Peng. Beyond the Cell AtlasJournal of the American Society of Nephrology 2026; 37(5) doi: 10.1681/ASN.0000001023
2
Wenjing Zhou, Zhaogui Chen, Guanghui Ying, Li Liu, Wei Xiao, Jian Liu, Min Xia, Qiao Zhang, Xuelin He. Key module genes in proximal tubular cells drive microenvironmental chronic inflammation and fibrosis in diabetic kidney disease: A single-cell transcriptomic studyBiochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 2026; 1872(7) doi: 10.1016/j.bbadis.2026.168326
3
Tao Li, Kaili Chen, Yiting Sun, Linqi Zhang. Diabetic kidney disease: integrating multi-omics insights, artificial intelligence, and novel therapeutics for precision medicineFrontiers in Genetics 2026; 17 doi: 10.3389/fgene.2026.1760654
4
Maja Pieczaba, Bartosz Dubniański, Zofia Kuźnik, Weronika Wajerowska, Andrzej Konieczny, Mirosław Banasik. Reappraising Kidney Biopsy in Diabetic Kidney Disease: Histopathology, Clinical Course, and the Future of Precision NephrologyJournal of Clinical Medicine 2026; 15(14) doi: 10.3390/jcm15145359