OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Comprehensive Diagnostics of Diabetic Nephropathy by Transcriptome RNA Sequencing
Lei Lei, Yi-Hua Bai, Yang Fan, et al.
Diabetes Metabolic Syndrome and Obesity (2022) Vol. Volume 15, pp. 3069-3080
Open Access | Times Cited: 6

Showing 6 citing articles:

Depression of LncRNA DANCR alleviates tubular injury in diabetic nephropathy by regulating KLF5 through sponge miR-214-5p
Y. Kuang, Juan Yang, Meimei Sun, et al.
BMC Nephrology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5

Molecular Pathways of Diabetic Kidney Disease Inferred from Proteomics
Lan Wei, Yuanyuan Han, Chao Tu
Diabetes Metabolic Syndrome and Obesity (2023) Vol. Volume 16, pp. 117-128
Open Access | Times Cited: 9

Silencing LncRNA SNHG14 alleviates renal tubular injury via the miR-483-5p/HDAC4 axis in diabetic kidney disease
Qiwu Huang, Tianyi Qiu, Huanzhen Chen, et al.
HORMONES (2024)
Closed Access | Times Cited: 3

Comprehensive Analysis of Fatty Acid Metabolism in Diabetic Nephropathy from the Perspective of Immune Landscapes, Diagnosis and Precise Therapy
Enyi Zhu, Ming Zhong, Tiantian Liang, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 693-710
Open Access | Times Cited: 2

Bioinformatics-Based Analysis of Key Genes in Steroid-Induced Osteonecrosis of the Femoral Head That Are Associated with Copper Metabolism
Baochuang Qi, Chuan Li, Xingbo Cai, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 873-873
Open Access | Times Cited: 5

Comprehensive machine learning models for predicting therapeutic targets in type 2 diabetes utilizing molecular and biochemical features in rats
Marwa Matboli, Hiba S. Al-Amodi, Abdelrahman Khaled, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 1

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