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:

Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis
Mehrdad Samadishadlou, Reza Rahbarghazi‬, Zeynab Piryaei, et al.
Cardiovascular Diabetology (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 8

Showing 8 citing articles:

A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 28

Unraveling the association and regulatory role of miR-146b-5p in coronary artery disease
Xiaozhu Ma, Shuai Mei, Yi He, et al.
BMC Cardiovascular Disorders (2025) Vol. 25, Iss. 1
Open Access

MiR-21-3p inhibitor exerts myocardial protective effects by altering macrophage polarization state and reducing excessive mitophagy
Yujing Huang, Ya-Lin Huang, Zhaoling Cai, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2

LncRNA ZFAS1/miR-186-5p axis is involved in oxidative stress inhibition of myocardial ischemia-reperfusion injury by targeting BTG2
Yi Xiang, Hui Shan, Hao Nie, et al.
Expert Review of Clinical Immunology (2024), pp. 1-12
Closed Access | Times Cited: 1

Role of mir-32-3p in the diagnosis and risk assessment of osteoporotic fractures
Jingda Zhang, Tao Qian, Xifan Zheng, et al.
Journal of Orthopaedic Surgery and Research (2024) Vol. 19, Iss. 1
Open Access

An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning
Mehrdad Samadishadlou, Reza Rahbarghazi‬, Kaveh Kavousi, et al.
Biology Direct (2024) Vol. 19, Iss. 1
Open Access

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