Clinical Radiology

Papers
(The H4-Index of Clinical Radiology is 22. 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
RCR meetings128
RCR meetings101
Quality of reporting of artificial intelligence studies: Lessons learnt from a systematic review of the literature51
Impact of COVID-19 on CT imaging in a tertiary care hospital48
Trauma in a non-trauma centre: Outcomes and incidental findings45
A review of MR rectal tumours: A review of imaging quality41
Evaluation of pancreatic masses: Multidetector CT and endoscopic ultrasound correlation38
Spectral virtual non-contrast reconstruction in the detection of intramural haematoma37
Undergraduate radiology in low- and middle-income countries (LMICs)31
Nomogram for evaluating coronary revascularisation necessity based on multi-parameter coronary CT angiography30
Combination CT and MRI shoulder arthrography: a novel technique and improved patient journey29
The limping child: Is it septic arthritis? A tertiary centre clinical and radiological guideline28
Cardiac CT dose reduction28
Contents25
Intra-Sylvian versus intracerebral haematoma associated with ruptured middle cerebral artery aneurysm: initial and follow-up imaging features24
Abnormal tongue discoloration following radioactive iodine-131 ablation therapy for papillary cancer thyroid24
Brain structural and functional MRI alterations and their predictive value for the visual outcome at 3 years in clinically isolated optic neuritis24
Adequacy of coronal FIESTA images in gynaecological MR24
Initial experience with adrenal vein sampling using 3D cursor and preprocedural computed tomography (CT) scout image23
Diagnostic value of quantitative brain synthetic magnetic resonance imaging in patients with obstructive sleep apnoea22
“Triple-low” radiation dose bronchial artery CT angiography before bronchial artery embolisation: a feasibility study22
Severity prediction in patients with oedema in cerebral contusion using deep learning from computed tomography scans22
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