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
Influence of intestinal microbial metabolites on the abscopal effect after radiation therapy combined with immune checkpoint inhibitors21
Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma21
CD8-positive lymphocyte infiltration as a marker of anti-tumor immune response in rectal cancer: pre- and post-neoadjuvant radiotherapy comparison20
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
Effectiveness, toxicity and impact on quality of life of high-dose-rate brachytherapy delivered in two fractions as monotherapy in patients with prostate cancer19
Geometric evaluation of a deep learning method for segmentation of urinary OARs on magnetic resonance imaging for prostate cancer radiotherapy15
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
Deep learning [18F]-FDG-PET/CT‑based algorithm for tumor burden estimation in metastatic melanoma patients under immunotherapy14
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