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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.

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Showing 21 citing articles:

Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments
David Haberl, Jing Ning, Kilian Kluge, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access | Times Cited: 1
Can deep learning effectively diagnose cardiac amyloidosis with 99mTc-PYP scintigraphy?
Adem Maman, İshak Paçal, Fatih Batı
Journal of Radioanalytical and Nuclear Chemistry (2024)
Closed Access | Times Cited: 5
Interoception, cardiac health, and heart failure: The potential for artificial intelligence (AI)—driven diagnosis and treatment
Mahavir Singh, Anmol Babbarwal, Sathnur Pushpakumar, et al.
Physiological Reports (2025) Vol. 13, Iss. 1
Open Access
The Accuracy of Technetium-99 m Pyrophosphate Imaging in Diagnosing Transthyretin Cardiac Amyloidosis and Its Impact on Patient Management
Zainab Altaha, Robert J.H. Miller
Current Cardiology Reports (2025) Vol. 27, Iss. 1
Closed Access
Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study
Yazdan Salimi, Isaac Shiri, Zahra Mansouri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Is transthyretin amyloid cardiomyopathy heading towards losing its rare disease classification?
Anouk Achten, Steven A. Muller, Peter-Paul Zwetsloot, et al.
Expert Review of Cardiovascular Therapy (2025), pp. 1-4
Open Access
Future challenges of imaging in cardiac amyloidosis
Laurenz Hauptmann, Maximilian Autherith, Andreas Kammerlander, et al.
The International Journal of Cardiovascular Imaging (2025)
Closed Access
Enhanced diagnostic and prognostic assessment of cardiac amyloidosis using combined 11C-PiB PET/CT and 99mTc-DPD scintigraphy
Zhihui Hong, Clemens P. Spielvogel, Song Xue, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Multifaceted pulmonary manifestations of amyloidosis: state-of-the-art update
Antonios Charokopos, Misbah Baqir, Anja C. Roden, et al.
Expert Review of Respiratory Medicine (2025), pp. 1-14
Closed Access
The emerging role of artificial intelligence in the diagnosis and treatment of autism spectrum disorder and attention-deficit/hyperactivity disorder
Maissane Nasrallah, Albert Moghrabi, Marylouise Kayal, et al.
International Journal of Developmental Disabilities (2025), pp. 1-14
Closed Access
Using artificial intelligence to switch from accident to sagacity in the serendipitous detection of uncommon diseases
Roberto Sciagrà
The Lancet Digital Health (2025) Vol. 7, Iss. 2, pp. e104-e105
Closed Access
Artificial intelligence-driven cardiac amyloidosis screening
Jacob Abdaem, Robert J.H. Miller
The Lancet Digital Health (2024) Vol. 6, Iss. 4, pp. e231-e232
Closed Access | Times Cited: 2
Expansion of the National Amyloidosis Centre staging system to detect early mortality in transthyretin cardiac amyloidosis
Christian Nitsche, Adam Ioannou, Rishi Patel, et al.
European Journal of Heart Failure (2024)
Open Access | Times Cited: 2
Tracking the pre-clinical progression of transthyretin amyloid cardiomyopathy using artificial intelligence-enabled electrocardiography and echocardiography
Evangelos K. Oikonomou, Veer Sangha, Sumukh Vasisht Shankar, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Isaac Shiri, Sebastian Balzer, Giovanni Baj, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024)
Open Access | Times Cited: 2
Early detection of subclinical cardiac amyloidosis: the importance of increasing physician awareness and routine imaging assessment
Christoph Gräni
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 5, pp. 949-950
Open Access | Times Cited: 1
Cardiac Amyloidosis: A Comprehensive Review of Pathophysiology, Diagnostic Approach, Applications of Artificial Intelligence, and Management Strategies
Md Ripon Ahammed, Fariha Noor Ananya
Cureus (2024)
Open Access | Times Cited: 1
Cardiologia Teoria e Prática - Edição XVIII
Guilherme Barroso Langoni de Freitas, MARCELO DANTAS CAMPOS, Beatriz Vasconcelos Cipola, et al.
(2024)
Closed Access | Times Cited: 1
Highlights of the 36th EANM Annual Congress 2023, from hometown Vienna, Austria: “A SYMPHONY OF SCIENCE”
David Kersting, Silvia Morbelli, Sophie E. M. Veldhuijzen van Zanten, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024) Vol. 51, Iss. 7, pp. 1800-1808
Open Access
Pyrophosphate Scintigraphy: Use in the Diagnosis and Monitoring of Cardiac Amyloidosis
Cláudio Tinoco Mesquita, Davi Shunji Yahiro, JOS PEDRO DA ROCHA DOS SANTOS, et al.
International Journal of Cardiovascular Sciences (2024) Vol. 37
Open Access
Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis: A step forward to diagnose the underdiagnosed
Steven A. Muller, Laurenz Hauptmann, Christian Nitsche, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024)
Closed Access
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