European Heart Journal-Cardiovascular Imaging

Papers
(The H4-Index of European Heart Journal-Cardiovascular Imaging is 34. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Unusual mature teratomas in the right ventricle292
The QRS empire has no clothes: reclaiming physiology in CRT selection117
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 ESC114
Multimodality imaging of right ventricular apical atypical cavernous haemangioma95
Acute myocardial calcification in a patient with fulminant myocarditis83
Association of central obesity with unique cardiac remodelling in young adults born small for gestational age75
The World Alliance of Societies of Echocardiography normative data on right ventricular motion components73
Right ventricle septal papillary muscle involvement and progressive enlargement in a patient with a rare case of isolated cardiac sarcoidosis66
Unilateral renal artery spasm complicating hypertensive emergency in a patient with secondary aldosteronism60
Signal or random noise?60
An unusual cause of positional hypoxaemia: platypnoea–orthodeoxia syndrome associated with patent foramen ovale and ascending aortic dilatation55
Computed tomography angiography: a tool for assessing activity in Takayasu’s arteritis53
Longitudinal systolic function following aortic valve replacement in the PARTNER 2 trial and registry51
Accurate prediction of systolic peak-to-peak gradient in children with pulmonary valve stenosis50
Troponin and NT-proBNP in the prediction of impaired myocardial deformation after STEMI49
Comprehensive CMR to differentiate between fitness levels amongst veteran endurance athletes48
Distinct phenotypic groups and related clinical outcomes in patients with hypertrophic cardiomyopathy46
Evaluation of the feasibility of utilizing the H/CL ratio with HMDP/HDP cardiac amyloid imaging46
Impact of sex on severity assessment and cardiac remodeling in primary mitral regurgitation due to valve prolapse45
Prognostic value of left atrial strain index (LASI) in patients with heart failure with preserved ejection fraction43
Cardiac magnetic resonance phenotypes and cardiovascular prognosis in classical vs cardiac variant of Fabry disease43
Prognostic value of echocardiography-based right ventricular-pulmonary artery coupling estimation in acute decompensated heart failure42
Machine learning for the generation of personalized image analysis protocol in echocardiography: a pilot study in arterial hypertension41
Dapagliflozin improves ejection fraction, radial/longitudinal strain and reduces systemic H-FABP and pro-inflammatory cytokines in models of dororubicin/trastuzumab induced cardiotoxicity41
Changes in left ventricular strain and cardiac biomarkers in a six-year prospective follow-up after breast cancer radiotherapy41
From blunt chest trauma to broken heart: imaging features of a neglected diagnosis39
Clinical utility and diagnostic accuracy of a novel handheld ultrasound device for cardiac evaluation in non-cardiology settings39
Left ventricular pressure-strain-volume-loop and myocardial work patterns in asymptomatic severe aortic regurgitation with early disease decompensation38
Sex-related effect of exercise on RV-PC coupling in asymptomatic patients with significant primary mitral regurgitation37
Distinguishing athletic heart adaptations from cardiomyopathy using myocardial work: new kid on the block37
The relationship between RV strain and haemodynamic parameters in patients with pulmonary arterial hypertension37
The role of transesophageal echocardiography in improving device size selection for percutaneous paravalvular leak closure36
Association between change of albuminuria and left ventricular diastolic function in type 2 diabetes36
Additional prognostic value of fully-automatic Global Longitudinal Strain using machine learning35
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