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:

MRI scarcity in low‐ and middle‐income countries
Mohammad Jalloul, Monica Miranda‐Schaeubinger, Abass M. Noor, et al.
NMR in Biomedicine (2023) Vol. 36, Iss. 12
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Modality-Level Obstacles and Initiatives to Improve Representation in Fetal, Infant, and Toddler Neuroimaging Research Samples
Emma T. Margolis, Paige M. Nelson, Abigail Fiske, et al.
Developmental Cognitive Neuroscience (2025) Vol. 72, pp. 101505-101505
Open Access | Times Cited: 4

Pulse Wave Velocity: Methodology, Clinical Applications, and Interplay with Heart Rate Variability
Niklas Pilz, V. Heinz, Timon Ax, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 7
Open Access | Times Cited: 9

Ultra-low-field paediatric MRI in low- and middle-income countries: super-resolution using a multi-orientation U-Net
Levente Baljer, Yiqi Zhang, Niall Bourke, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4

Feasibility and Usability of Low-Field Magnetic Resonance Imaging for Pediatric Neuroimaging in Low- and Middle-Income Countries: A Qualitative Study
Erin Rowand, Rosemond Owusu, Alexandra Sibole, et al.
Medical Devices Evidence and Research (2025) Vol. Volume 18, pp. 107-121
Open Access

Real-world datasets for the International Registry for Alzheimer's Disease and Other Dementias (InRAD) and other registries: An international consensus
Robert Perneczky, David Darby, Giovanni B. Frisoni, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100096-100096
Open Access

Infant Hippocampal Segmentation in Ultra-Low-Field MRI Using External Datasets with Diverse Field Strengths
Weichen Zhou, Jingyu Li, Xi Wang, et al.
Lecture notes in computer science (2025), pp. 28-37
Open Access

A novel, easy-to-use scoring system for the diagnosis of extraforaminal stenosis of lumbosacral transition using X-ray and CT scan
Kazue Takahashi, Myo Min Latt, Takumi Tsubakino, et al.
Journal of Orthopaedic Science (2025)
Closed Access

Cultivating expertise in MRI physics in Mongolia through international collaboration
Tamir Munkhtuvshin, Batnasan Shagdarsuren, Bayarbaatar Bold, et al.
Journal of medical imaging and radiation sciences (2025) Vol. 56, Iss. 4, pp. 101897-101897
Closed Access

Building radiation therapy technologist capacity in Malawi: Overcoming challenges and expanding roles
Mussa Kumwembe, Ephraim Central Hospital Canc TEMBO, Limbani Sakwiya, et al.
Journal of medical imaging and radiation sciences (2025) Vol. 56, Iss. 5, pp. 101905-101905
Closed Access

Low-Field (64mT) Portable MRI for Rapid Point-of-Care Diagnosis of DIS in Patients Presenting with Optic Neuritis
Timothy Lim, Suradech Suthiphosuwan, Jonathan A. Micieli, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 11, pp. 1819-1825
Closed Access | Times Cited: 3

Elements of person-centred diagnostic imaging care in low-and middle-income countries: A systematic review
Alberta Naa Afia Adjei, Andrew Donkor, Yaw Amo Wiafe, et al.
Radiography (2024) Vol. 30, Iss. 1, pp. 394-407
Closed Access | Times Cited: 2

Building Radiology Equity: Themes from the 2023 RAD-AID Conference on International Radiology and Global Health
Anne-Marie Lugossy, Kevin Anton, Farouk Dako, et al.
Journal of the American College of Radiology (2024) Vol. 21, Iss. 8, pp. 1194-1200
Closed Access | Times Cited: 2

Machine-learning models for diagnosis of rotator cuff tears in osteoporosis patients based on anteroposterior X-rays of the shoulder joint
Yu Zhao, Jingjing Qiu, Yang Li, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 4, pp. 100149-100149
Open Access | Times Cited: 2

AI-Mind: Revolutionizing Personalized Neurology Through Automated Diagnostics and Advanced Data Management
Ira Haraldsen, Christoffer Hatlestad‐Hall, Camillo Marra, et al.
Drug repurposing (2024) Vol. 1, Iss. 1
Closed Access | Times Cited: 1

A systematic review of the incidence and outcomes of ICD-11 defined stroke
Holli Groff, Sariha Yousfani, Camila Pantoja‐Ruiz, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 8, pp. 107784-107784
Closed Access

Reliability of Magseed® marking before neoadjuvant systemic therapy with subsequent contrast-enhanced mammography in patients with non-palpable breast cancer lesions after treatment: the MAGMA study
Eva Iglesias Bravo, Antonio Mariscal Martínez, Helena Peris Alvà, et al.
Breast Cancer Research and Treatment (2024) Vol. 208, Iss. 1, pp. 133-143
Open Access

Feasibility of Brain Ultrasound Performed by Nurses in the Evaluation of Newborns Who Are HIV Exposed in Utero and Uninfected: A Pilot Study in Botswana
Hansel J. Otero, Monica Miranda‐Schaeubinger, Sara R. Schenkel, et al.
Children (2024) Vol. 11, Iss. 9, pp. 1039-1039
Open Access

Assessing Language Lateralization through Gray Matter Volume: Implications for Preoperative Planning in Brain Tumor Surgery
Daniel Solomons, María Rodríguez-Fernández, Francisco Mery, et al.
Brain Sciences (2024) Vol. 14, Iss. 10, pp. 954-954
Open Access

Breast Implants: Low Rate of Annual Check-Ups Results in Delayed Presentation of Ruptured Implants
Tonatiuh Flores, Celina Kerschbaumer, Christina Glisic, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 21, pp. 6545-6545
Open Access

Deep learning super-resolution of paediatric ultra-low-field MRI without paired high-field scans
Ula Briski, Niall Bourke, Kirsten A. Donald, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Integrating Global Health Initiatives into Routine Radiology Workflow in the USA
Kevin Junck, Jordan D. Perchik, Matthew Larrison, et al.
Deleted Journal (2024)
Closed Access

Utilizing Deep Learning to Improve Diagnostic Accuracy in Glioma, Pituitary Tumors, and Meningiomas
Alon Gorenshtein, Tom Liba, Avner Goren
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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