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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:

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis
Lin Wang, Zhihua Yang, Hangxing Yu, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 16

Showing 16 citing articles:

Machine learning application in autoimmune diseases: State of art and future prospectives
Maria Giovanna Danieli, Silvia Brunetto, Luca Gammeri, et al.
Autoimmunity Reviews (2023) Vol. 23, Iss. 2, pp. 103496-103496
Open Access | Times Cited: 19
Decipher the Immunopathological Mechanisms and Set Up Potential Therapeutic Strategies for Patients with Lupus Nephritis
Chang‐Youh Tsai, Ko‐Jen Li, Chieh‐Yu Shen, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10066-10066
Open Access | Times Cited: 14
Application of Machine Learning Models in Systemic Lupus Erythematosus
Fulvia Ceccarelli, Francesco Natalucci, Licia Picciariello, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4514-4514
Open Access | Times Cited: 9
Systemic lupus in the era of machine learning medicine
Kevin Zhan, Katherine Buhler, Irene Y. Chen, et al.
Lupus Science & Medicine (2024) Vol. 11, Iss. 1, pp. e001140-e001140
Open Access | Times Cited: 1
Purification and analysis of kidney-infiltrating leukocytes in a mouse model of lupus nephritis
Laura Amo, Hemanta K Kole, Bethany Scott, et al.
Methods in cell biology (2024), pp. 131-152
Closed Access | Times Cited: 1
Multi-omics analysis of kidney tissue metabolome and proteome reveals the protective effect of sheep milk against adenine-induced chronic kidney disease in mice
Mengyao Wei, Jiaxin Liu, Xiaofei Wang, et al.
Food & Function (2024) Vol. 15, Iss. 13, pp. 7046-7062
Closed Access | Times Cited: 1
Gene Expression Dysregulation in Whole Blood of Patients with Clostridioides difficile Infection
Maria Tsakiroglou, A.G. Evans, Alejandra Doce Carracedo, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12653-12653
Open Access | Times Cited: 1
Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients Using Machine Learning and Immune Cell Infiltration Analysis
Huan Li, Jin Zhao, Yan Xing, et al.
Biochemical Genetics (2024)
Open Access
Identifying Key Genes and Their Associated Molecular Pathways in Lupus Nephritis-Osteoporosis: An In-silico Analysis
Guangdi Zhang, Bo Li, Yun Xia
Journal of Clinical Densitometry (2024) Vol. 27, Iss. 4, pp. 101524-101524
Closed Access
MME and PTPRC: key renal biomarkers in lupus nephritis
Min Wen, Marady Hun, Mingyi Zhao, et al.
PeerJ (2024) Vol. 12, pp. e18070-e18070
Open Access
Molecular Differences in Glomerular Compartment to Distinguish Immunoglobulin A Nephropathy and Lupus Nephritis
Haidong Zhang, Sicong Li, Zhenling Deng, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 11357-11373
Open Access
STAT1 aggravates kidney injury by NOD-like receptor (NLRP3) signaling in MRL-lpr mice
Changzhi Zheng, Fangfang Shang, Run Cheng, et al.
Journal of Molecular Histology (2024) Vol. 55, Iss. 4, pp. 555-566
Closed Access
Identification of novel biomarkers for lupus nephritis
Zhengyue Liao, Liying He, Jiaojiao Fu, et al.
Biomolecules and Biomedicine (2024)
Open Access
An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients
Emily L Leventhal, Andrea R. Daamen, Amrie C. Grammer, et al.
iScience (2023) Vol. 26, Iss. 10, pp. 108042-108042
Open Access | Times Cited: 1
Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients using Machine Learning and Immune Cell Infiltration Analysis
Huan Li, Jin Zhao, Yan Xing, et al.
Research Square (Research Square) (2023)
Open Access
Integration of bulk RNA sequencing and single-cell RNA sequencing reveals new natural killer cells promising as biomarkers for meningiomas and glioblastomas
Rongkun Zhu, Hongjian Zhou, Jun Shi, et al.
Research Square (Research Square) (2023)
Open Access
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