Open Access Helper

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:

Integrating Coronary Atherosclerosis Burden and Progression with Coronary Artery Disease Risk Factors to Guide Therapeutic Decision Making
Andrew M. Freeman, Subha V. Raman, Monica Aggarwal, et al.
The American Journal of Medicine (2022) Vol. 136, Iss. 3, pp. 260-269.e7
Open Access | Times Cited: 20

Showing 20 citing articles:

Myocardial ischemia/reperfusion: Translational pathophysiology of ischemic heart disease
Gerd Heusch
Med (2024) Vol. 5, Iss. 1, pp. 10-31
Open Access | Times Cited: 59
AI-Guided Quantitative Plaque Staging Predicts Long-Term Cardiovascular Outcomes in Patients at Risk for Atherosclerotic CVD
Nick S. Nurmohamed, Michiel J. Bom, Ruurt Jukema, et al.
JACC. Cardiovascular imaging (2023) Vol. 17, Iss. 3, pp. 269-280
Open Access | Times Cited: 44
Atherosclerosis quantification and cardiovascular risk: the ISCHEMIA trial
Nick S. Nurmohamed, James K. Min, Rebecca Anthopolos, et al.
European Heart Journal (2024) Vol. 45, Iss. 36, pp. 3735-3747
Open Access | Times Cited: 16
miRNAs in Heart Development and Disease
Estefanía Lozano-Velasco, José M. Inácio, Inês Sousa, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1673-1673
Open Access | Times Cited: 9
Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease
Yashbir Singh, Quincy A. Hathaway, Karthik Dinakar, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100217-100217
Open Access
Regression and stabilization of atherogenic plaques
Jairo Aldana-Bitar, Deepak L. Bhatt, Matthew J. Budoff
Trends in Cardiovascular Medicine (2023) Vol. 34, Iss. 5, pp. 340-346
Closed Access | Times Cited: 12
Utility of Artificial Intelligence Plaque Quantification: Results of the DECODE Study
Sarah Rinehart, S. Raible, Nicholas Ng, et al.
Journal of the Society for Cardiovascular Angiography & Interventions (2024) Vol. 3, Iss. 3, pp. 101296-101296
Open Access | Times Cited: 3
Determination of lipid-rich plaques by artificial intelligence-enabled quantitative computed tomography using near-infrared spectroscopy as reference
Hiroyuki Omori, Hitoshi Matsuo, Shinichiro Fujimoto, et al.
Atherosclerosis (2023) Vol. 386, pp. 117363-117363
Open Access | Times Cited: 8
The role of early-phase trials and real-world evidence in drug development
Harriette G.C. Van Spall, Arnaud Bastien, Bernard J. Gersh, et al.
Nature Cardiovascular Research (2024) Vol. 3, Iss. 2, pp. 110-117
Closed Access | Times Cited: 1
eIF6 deficiency regulates gut microbiota, decreases systemic inflammation, and alleviates atherosclerosis
Zhenzhen Wang, Shuai Yang, L. Tong, et al.
mSystems (2024)
Open Access | Times Cited: 1
Opioid Impacts on Cardiovascular Health
Erjola Toska, Harvey N. Mayrovitz
Cureus (2023)
Open Access | Times Cited: 3
Differential Expression of Serum Proinflammatory Cytokine TNF-α and Genetic Determinants of TNF-α, CYP2C19*17, miR-423 Genes and Their Effect on Coronary Artery Disease Predisposition and Progression
Rehab Al-Massabi, Rashid Mir, Jamsheed Javid, et al.
Life (2023) Vol. 13, Iss. 11, pp. 2142-2142
Open Access | Times Cited: 3
Assessment of the Dimensions of Coronary Arteries for the Manifestation of Coronary Artery Disease
Muhammad Muneeb, Nasia Nuzhat, Attaullah Khan Niazi, et al.
Cureus (2023)
Open Access | Times Cited: 2
The expanding role of HLA gene tests for predicting drug side effects
Natasha Petry, Kennedy Forest, Russell A. Wilke
The American Journal of the Medical Sciences (2023) Vol. 367, Iss. 1, pp. 14-20
Closed Access | Times Cited: 2
Serum N-glycomic profiling identifies candidate biomarker panels for assessing coronary artery stenosis severity
Linlin Wu, Haoqi Liu, Xuewen Xu, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29443-e29443
Open Access
Prediction model based on artificial intelligence for identifying risk of coronary atherosclerotic heart disease in computed tomography
Jiqun Chen, Shitao Song, Rui Zhuo
Journal of Radiation Research and Applied Sciences (2024) Vol. 17, Iss. 2, pp. 100930-100930
Open Access
Rapidly progressive coronary atherosclerosis in a young male: a retrospective advanced CCT phenotype analysis
Daniel Lorenzatti, Annalisa Filtz, Azeem Latib, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 10, pp. 2221-2225
Open Access
Burden of ischemic heart disease attributable to lead exposure and projection of trends: insights from the Global Burden of Disease 2021 study
Yunfa Ding, Anxia Deng, Tengfei Qi, et al.
Research Square (Research Square) (2024)
Open Access
Lipoprotein(a) and coronary artery disease burden in patients with diabetes
John P. Salvas, Juhi Ramchandani, Purva Patel, et al.
Journal of cardiovascular computed tomography (2024)
Closed Access
Infrared Weak Dot Target Tracking Algorithm Based on Meta-Learning
Lijun Chang, Chao Jiang
(2023), pp. 1-5
Closed Access
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