Clinical and Translational Radiation Oncology

Papers
(The H4-Index of Clinical and Translational Radiation Oncology is 14. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)
ArticleCitations
Stabilised Hyaluronic Acid (sHA) gel as a novel marker for breast cancer tumour bed cavity: Surgical feasibility41
Measuring patient reported outcomes in brachytherapy: Why we should do it and more importantly how26
Prospective evaluation of liver cancer volumes on non-contrast 1.5 T MR Linac imaging24
Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group23
Patterns of utilization and clinical adoption of 0.35 Tesla MR-guided radiation therapy in the United States – Understanding the transition to adaptive, ultra-hypofractionated treatments22
Uterus motion analysis for radiotherapy planning optimization. The innovative contribution of on-board hybrid MR imaging22
Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma21
Influence of intestinal microbial metabolites on the abscopal effect after radiation therapy combined with immune checkpoint inhibitors21
Avoiding prostate bed radiation for the PSMA-PET detected nodal recurrence patient post prostatectomy20
Assessing the impact of proton versus photon therapy on health-related quality of life in lung cancer20
CD8-positive lymphocyte infiltration as a marker of anti-tumor immune response in rectal cancer: pre- and post-neoadjuvant radiotherapy comparison20
Effectiveness, toxicity and impact on quality of life of high-dose-rate brachytherapy delivered in two fractions as monotherapy in patients with prostate cancer19
Corrigendum to “Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy”. [Clin. Transl. Radiat. Oncol. 56 (2026)15
Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy15
Deep learning [18F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy14
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