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:

Breast MRI: Clinical Indications, Recommendations, and Future Applications in Breast Cancer Diagnosis
Demi Wekking, Michele Porcu, Pushpamali De Silva, et al.
Current Oncology Reports (2023) Vol. 25, Iss. 4, pp. 257-267
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Nitric oxide nano-reactor DNMF/PLGA enables tumor vascular microenvironment and chemo-hyperthermia synergetic therapy
Ruoyao Wang, Long Cheng, Ling‐Yun He, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 8

Influence of Multiband Technique on Temporal Diffusion Spectroscopy and Its Diagnostic Value in Breast Tumors
Jie Ding, Zhen Zhang, Hongyan Xiao, et al.
Journal of Magnetic Resonance Imaging (2025)
Open Access | Times Cited: 1

Advances in nanocomposites-based electrochemical biosensors for the early diagnosis of breast cancer
Osman Gamal, Mariam Hossam Eldin, Aya A. Refaat, et al.
Frontiers in Sensors (2024) Vol. 5
Open Access | Times Cited: 6

Time-dependent diffusion MRI and kinetic heterogeneity as potential imaging biomarkers for diagnosing suspicious breast lesions with 3.0-T breast MRI
Xue Li, Chunmei Li, Bin Hua, et al.
Magnetic Resonance Imaging (2025) Vol. 117, pp. 110323-110323
Closed Access

Predictive value of ultrasound assessment of axillary and brachial artery parameters for lymph node metastasis in breast cancer patients
Jingcheng Bi, Tianqi Yao, Yu Yao, et al.
American Journal of Cancer Research (2025) Vol. 15, Iss. 3, pp. 1066-1080
Closed Access

The diagnostic value of a breast cancer diagnosis model based on serum MiRNAs and serum tumor markers
Xiaohui Li, Feng Wang, Faquan Lin, et al.
World Journal of Surgical Oncology (2025) Vol. 23, Iss. 1
Open Access

Contrast Agents in Breast MRI: State of the Art and Future Perspectives
Filippo Pesapane, Adriana Sorce, Ottavia Battaglia, et al.
Biomedicines (2025) Vol. 13, Iss. 4, pp. 829-829
Open Access

Role of the microRNA in Prediction of the Breast Cancer
Maryam Kheiry, Farajolah Maleki
Journal of Basic Research in Medical Sciences (2025) Vol. 12, Iss. 2, pp. 11-20
Closed Access

The application progress of PAMAM dendrimer in cancer imaging and treatment
Cong-Ying Zhang, Kai Gu, Mengyi Chi, et al.
Journal of Biomaterials Science Polymer Edition (2025), pp. 1-38
Open Access

Breast Lesion Detection for Ultrasound Images Using MaskFormer
Anirudh Anand, Seungho Jung, Sukhan Lee
Sensors (2024) Vol. 24, Iss. 21, pp. 6890-6890
Open Access | Times Cited: 3

Integrating intratumoral and peritumoral radiomics with deep transfer learning for DCE-MRI breast lesion differentiation: A multicenter study comparing performance with radiologists
Tao Yu, Renqiang Yu, Mengqi Liu, et al.
European Journal of Radiology (2024) Vol. 177, pp. 111556-111556
Closed Access | Times Cited: 2

Assessment of the contribution of the ADC value to the Kaiser score in the differential diagnosis of breast lesions with non-mass enhancement morphology on MRI
Almıla Coşkun Bilge, Hale Aydın
European Journal of Radiology (2024) Vol. 181, pp. 111713-111713
Closed Access | Times Cited: 2

Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake
Sylwia Nowakowska, Karol Borkowski, Carlotta Ruppert, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 556-556
Open Access | Times Cited: 1

Automated 3D Tumor Segmentation From Breast DCE-MRI Using Energy-Tuned Minimax Optimization
Priyadharshini Babu, Mythili Asaithambi, M. Sudhakar
IEEE Access (2024) Vol. 12, pp. 87532-87544
Open Access | Times Cited: 1

Optimizing Image Quality with High-Resolution, Deep-Learning-Based Diffusion-Weighted Imaging in Breast Cancer Patients at 1.5 T
Susann-Cathrin Olthof, Elisabeth Weiland, Thomas Benkert, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1742-1742
Open Access | Times Cited: 1

Imaging methods for the diagnosis of breast lesions
Yuan Chun-hua, Xuqiang Kong, Mingyuan Yuan
Asian Journal of Surgery (2024) Vol. 47, Iss. 6, pp. 2748-2749
Open Access

The Clinical Diagnostic Value of Mammography in the Diagnosis of Early Breast Cancer
吐 尔斯娜依·艾白都拉
Advances in Clinical Medicine (2024) Vol. 14, Iss. 08, pp. 1188-1194
Closed Access

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