Quantitative perfusion by cardiac magnetic resonance imaging reveals compromised myocardial perfusion in patients with angina with non-obstructive coronary artery disease

Authors

Institutions

Publication Details

Journal
Clinical Research in Cardiology
Published
2025-02-18
DOI
https://doi.org/10.1007/s00392-025-02606-7
Citations
2
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
2.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative perfusion by cardiac magnetic resonance imaging reveals compromised myocardial perfusion in patients with angina with non-obstructive coronary artery disease

Etto C. Eringa, Tim P. van de Hoef, Janneke Woudstra, Yolande Appelman et al.
2 citations
Clinical Research in Cardiology
Cardiac Imaging and Diagnostics
2.72
article

Quantitative perfusion by cardiac magnetic resonance imaging reveals compromised myocardial perfusion in patients with angina with non-obstructive coronary artery disease

Etto C. Eringa, Tim P. van de Hoef, Janneke Woudstra, Yolande Appelman, Steven A. J. Chamuleau, Sonia Borodzicz-Jażdżyk, Marco Götte, Caitlin E.M. Vink, Elize A M de Jong
article en
2 citations

Abstract

No abstract available for this paper.
Clinical Research in Cardiology
Medical University of Warsaw (PL), University Medical Center Utrecht (NL), Maastricht University (NL), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL)
Amsterdam University Medical Centers, ICIN Netherlands Heart Institute, Netherlands Heart Institute
Good health and well-being
Openalex Percentile: Top 12%
Cardiac Imaging and Diagnostics
2.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.