OOIR: Observatory of International Research

Papers

(The H4-Index of European Heart Journal-Cardiovascular Imaging is 33. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Unusual mature teratomas in the right ventricle	295
The QRS empire has no clothes: reclaiming physiology in CRT selection	119
Hybrid cardiovascular imaging: a clinical consensus statement of the European Association of Nuclear Medicine (EANM) and the European Association of Cardiovascular Imaging (EACVI) of the ESC	118
Multimodality imaging of right ventricular apical atypical cavernous haemangioma	101
Acute myocardial calcification in a patient with fulminant myocarditis	83
The World Alliance of Societies of Echocardiography normative data on right ventricular motion components	75
Association of central obesity with unique cardiac remodelling in young adults born small for gestational age	75
Right ventricle septal papillary muscle involvement and progressive enlargement in a patient with a rare case of isolated cardiac sarcoidosis	71
Unilateral renal artery spasm complicating hypertensive emergency in a patient with secondary aldosteronism	65
An unusual cause of positional hypoxaemia: platypnoea–orthodeoxia syndrome associated with patent foramen ovale and ascending aortic dilatation	63
Computed tomography angiography: a tool for assessing activity in Takayasu’s arteritis	56
Longitudinal systolic function following aortic valve replacement in the PARTNER 2 trial and registry	55
Troponin and NT-proBNP in the prediction of impaired myocardial deformation after STEMI	53
Accurate prediction of systolic peak-to-peak gradient in children with pulmonary valve stenosis	53
Comprehensive CMR to differentiate between fitness levels amongst veteran endurance athletes	52
Distinct phenotypic groups and related clinical outcomes in patients with hypertrophic cardiomyopathy	50
Evaluation of the feasibility of utilizing the H/CL ratio with HMDP/HDP cardiac amyloid imaging	49
Impact of sex on severity assessment and cardiac remodeling in primary mitral regurgitation due to valve prolapse	47
Prognostic value of left atrial strain index (LASI) in patients with heart failure with preserved ejection fraction	46
Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension	44
Cardiac magnetic resonance phenotypes and cardiovascular prognosis in classical vs cardiac variant of Fabry disease	44
Prognostic value of echocardiography-based right ventricular-pulmonary artery coupling estimation in acute decompensated heart failure	44
Changes in left ventricular strain and cardiac biomarkers in a six-year prospective follow-up after breast cancer radiotherapy	43
Dapagliflozin improves ejection fraction, radial/longitudinal strain and reduces systemic H-FABP and pro-inflammatory cytokines in models of dororubicin/trastuzumab induced cardiotoxicity	42
From blunt chest trauma to broken heart: imaging features of a neglected diagnosis	41

Clinical utility and diagnostic accuracy of a novel handheld ultrasound device for cardiac evaluation in non-cardiology settings	40
Left ventricular pressure-strain-volume-loop and myocardial work patterns in asymptomatic severe aortic regurgitation with early disease decompensation	40
The relationship between RV strain and haemodynamic parameters in patients with pulmonary arterial hypertension	39
Sex-related effect of exercise on RV-PC coupling in asymptomatic patients with significant primary mitral regurgitation	39
Distinguishing athletic heart adaptations from cardiomyopathy using myocardial work: new kid on the block	39
The role of transesophageal echocardiography in improving device size selection for percutaneous paravalvular leak closure	37
Association between change of albuminuria and left ventricular diastolic function in type 2 diabetes	36
Additional prognostic value of fully-automatic Global Longitudinal Strain using machine learning	33