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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.

Requested Article:

Radiogenomics: a key component of precision cancer medicine
Zaoqu Liu, Tian Duan, Yuyuan Zhang, et al.
British Journal of Cancer (2023) Vol. 129, Iss. 5, pp. 741-753
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Nathaniel Barry, Jake Kendrick, Kaylee Molin, et al.
European Radiology (2025)
Open Access | Times Cited: 2
Radiomics in breast cancer: Current advances and future directions
Ying-Jia Qi, Guan-Hua Su, Chao You, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 9, pp. 101719-101719
Open Access | Times Cited: 14
Artificial intelligence‐driven change redefining radiology through interdisciplinary innovation
Runqiu Huang, Xiaolin Meng, Xiaoxuan Zhang, et al.
Deleted Journal (2025)
Open Access | Times Cited: 1
Multiparametric MRI for Assessment of the Biological Invasiveness and Prognosis of Pancreatic Ductal Adenocarcinoma in the Era of Artificial Intelligence
Ben Y. Zhao, Buyue Cao, Tianyi Xia, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
A novel MRI-based radiomics for preoperative prediction of lymphovascular invasion in rectal cancer
Xiaoxiang Ning, Dengfa Yang, Weiqun Ao, et al.
Abdominal Radiology (2025)
Closed Access | Times Cited: 1
Developing a Radiomics Atlas Dataset of normal Abdominal and Pelvic computed Tomography (RADAPT)
Elisavet Kapetanou, Stylianos Malamas, Dimitrios Leventis, et al.
Deleted Journal (2024) Vol. 37, Iss. 4, pp. 1273-1281
Open Access | Times Cited: 5
Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study
Francesca Angelone, Federica Kiyomi Ciliberti, Giovanni Paolo Tobia, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 5
MRI radiomics in head and neck cancer from reproducibility to combined approaches
Anna Corti, Stefano Cavalieri, Giuseppina Calareso, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Radioproteomics stratifies molecular response to antifibrotic treatment in pulmonary fibrosis
David Lauer, C. Magnin, Luca R. Kolly, et al.
JCI Insight (2024) Vol. 9, Iss. 15
Open Access | Times Cited: 4
Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients
Xuewei Wu, Shuaitong Zhang, Zhenyu Zhang, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 4
Prioritizing Context-Dependent Cancer Gene Signatures in Networks
Enrico Capobianco, Thomas S. Lisse, Sandra Rieger
Cancers (2025) Vol. 17, Iss. 1, pp. 136-136
Open Access
Pan-cancer secreted proteome and skeletal muscle regulation: insight from a proteogenomic data-driven knowledge base
Traci L. Parry, L. Anne Gilmore, Andy V. Khamoui
Functional & Integrative Genomics (2025) Vol. 25, Iss. 1
Closed Access
Breast cancer and its genetic heterogeneity at single cell level: A concise perspective of cellular architecture and taxonomy
Riya Sharma, Neha Parihar, Keerti Gopi, et al.
Elsevier eBooks (2025), pp. 89-112
Closed Access
Ultrasound Radiogenomics-based Prediction Models for Gene Mutation Status in Breast Cancer
Yue Zhai, Dianhuan Tan, Xiaona Lin, et al.
Advanced ultrasound in diagnosis and therapy (2025) Vol. 9, Iss. 1, pp. 10-10
Open Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
Predictors of Radiation Resistance and Novel Radiation Sensitizers in Head and Neck Cancers: Advancing Radiotherapy Efficacy
Aastha Sobti, Heath D. Skinner, Christopher Wilke
Seminars in Radiation Oncology (2025) Vol. 35, Iss. 2, pp. 224-242
Closed Access
Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis
Somayeh Farahani, Marjaneh Hejazi, Sahar Moradizeyveh, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 797-797
Open Access
The dual role of CXCL9/SPP1 polarized tumor-associated macrophages in modulating anti-tumor immunity in hepatocellular carcinoma
Yu Gu, Zhihui Zhang, Hao Huang, et al.
Frontiers in Immunology (2025) Vol. 16
Open Access
Insights into pet-based radiogenomics in oncology: an updated systematic review
Luca Filippi, Luca Urso, Luigi Manco, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access
Decoding Lung Cancer Radiogenomics: A Custom Clustering/Classification Methodology to Simultaneously Identify Important Imaging Features and Relevant Genes
Destie Provenzano, John P. Lichtenberger, Sharad Goyal, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 4053-4053
Open Access
Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer
Priya Jayachandran, Gowtham Murugesan, Jeyakumar Natarajan
Egyptian Journal of Medical Human Genetics (2025) Vol. 26, Iss. 1
Open Access
Evolving and Novel Applications of Artificial Intelligence in Cancer Imaging
Mustaqueem Pallumeera, Jonathan C. Giang, Rajanbir Singh, et al.
Cancers (2025) Vol. 17, Iss. 9, pp. 1510-1510
Open Access
Cross-attention enables deep learning on limited omics-imaging-clinical data of 130 lung cancer patients
Suraj Verma, Giuseppe Magazzù, Noushin Eftekhari, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 7, pp. 100817-100817
Open Access | Times Cited: 2
Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review
Wilson Ong, Aric Lee, Wei Chuan Tan, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 2988-2988
Open Access | Times Cited: 2
Dynamic Contrast-Enhanced Study in the mpMRI of the Prostate—Unnecessary or Underutilised? A Narrative Review
Silva Guljaš, Zdravka Krivdić Dupan, Maja Drežnjak Madunić, et al.
Diagnostics (2023) Vol. 13, Iss. 22, pp. 3488-3488
Open Access | Times Cited: 4
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