OOIR: Observatory of International Research

Papers

(The H4-Index of Japanese Journal of Radiology is 27. 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 2021-12-01 to 2025-12-01.)

Article	Citations
Development of Acceptable Quality Dose (AQD) and image quality-related diagnostic reference levels for common computed tomography investigations in a tertiary care public sector hospital of Khyber Pak	341
Inspiratory and expiratory CT analyses of the diaphragmatic crus in chronic obstructive pulmonary disease	97
Inflammation index predicts radiation-induced lung injury and prognosis in lung tumors treated with stereotactic body radiation therapy	82
Application of 123I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography	70
Comment on “CT-based assessment of bear-inflicted maxillofacial injuries: evaluation using the facial injury severity scale and its association with hospitalization duration”	68
Brain perfusion SPECT in dementia: what radiologists should know	67
Correction to: Prediction of the wall‑invasion pattern of advanced gallbladder carcinoma using extracellular volume fraction	56
CT and MRI of abdominal cancers: current trends and perspectives in the era of radiomics and artificial intelligence	53
Fractal-driven self-supervised learning enhances early-stage lung cancer GTV segmentation: a novel transfer learning framework	53
Detection of intracranial aneurysms using deep learning-based CAD system: usefulness of the scores of CNN’s final layer for distinguishing between aneurysm and infundibular dilatation	49
Fractal analysis of dynamic stress myocardial CT perfusion decouples diagnostic accuracy for obstructive coronary artery disease from remote flow	47
Effects of slice thickness on CT radiomics features and models for staging liver fibrosis caused by chronic liver disease	42
Development and validation of a CT-based nomogram to predict spread through air space (STAS) in peripheral stage IA lung adenocarcinoma	41
The diagnostic performance of ultra-low-dose 320-row detector CT with different reconstruction algorithms on limb joint fractures in the emergency department	39
Noninvasive dynamic vascular imaging: arterial spin labeling-based noncontrast magnetic resonance digital subtraction angiography for cerebral disease diagnoses	38
Performance of iodine quantification through high-pitch dual-source photon-counting CT: a phantom study	38
Time course of complications after small renal mass biopsy: evaluation of initial follow-up images	38
External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in Japan	35
Comparison of natural language processing algorithms in assessing the importance of head computed tomography reports written in Japanese	33
Spot sign score is associated with hematoma expansion and longer hospital stay but not functional outcomes in primary intracerebral hemorrhage survivors	32
Feasibility of iodine concentration and extracellular volume fraction measurement derived from the equilibrium phase dual-energy CT for differentiating thymic epithelial tumors	31
Clinical significance of dual-energy dual-layer CT parameters in differentiating small-sized gastrointestinal stromal tumors from leiomyomas	29
Imaging of metabolic and overload disorders in tissues and organs	29
Response to: LI-RADS CT/MRI radiation treatment response assessment version 2024: the importance of pretreatment stage and time	28
CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment	27

Relationship of computed tomography quantified visceral adiposity with the severity and complications of acute pancreatitis: a systematic review	27
Essence of postmortem computed tomography for in-hospital deaths: what clinical radiologists should know	27