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Cited by in F6Publishing

For:	Zhou R, Lv X, Chen T, Chen Q, Tian H, Yang C, Guo W, Liu C. Construction and external validation of a 5-gene random forest model to diagnose non-obstructive azoospermia based on the single-cell RNA sequencing of testicular tissue. Aging (Albany NY) 2021;13:24219-35. [PMID: 34738918 DOI: 10.18632/aging.203675] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Zhou R, Lv X, Chen T, Chen Q, Tian H, Yang C, Guo W, Liu C. Construction and external validation of a 5-gene random forest model to diagnose non-obstructive azoospermia based on the single-cell RNA sequencing of testicular tissue. Aging (Albany NY) 2021;13:24219-35. [PMID: 34738918 DOI: 10.18632/aging.203675] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Shi S, Wang T, Wang L, Wang M. Nomogram based on a circular RNA biomarker for predicting the likelihood of successful sperm retrieval via microdissection testicular sperm extraction in patients with idiopathic non-obstructive azoospermia. Front Endocrinol (Lausanne) 2022;13:1109807. [PMID: 36733803 DOI: 10.3389/fendo.2022.1109807] [Reference Citation Analysis]
2	Sahota JS, Sharma B, Guleria K, Sambyal V. Candidate genes for infertility: an in-silico study based on cytogenetic analysis. BMC Med Genomics 2022;15:170. [PMID: 35918717 DOI: 10.1186/s12920-022-01320-x] [Reference Citation Analysis]