Cardiology has a dense publishing ecosystem that ranges from broad cardiovascular medicine to highly specialized journals in heart failure, electrophysiology, imaging, prevention, and intervention. Clinical importance, study scale, and the readership most likely to act on the result should guide journal selection.
This ranking uses the Journal Metrics Score and existing cardiovascular topic classifications to surface a practical shortlist. Authors should then compare trial phase, patient population, endpoint relevance, and article format with each journal’s recent publications.
About this ranking
Rankings use the Journal Metrics Score, computed from OpenAlex (CC0) data; it is not the Journal Impact Factor. Scores update with each data snapshot and are only one part of journal selection. This page uses the current Journal Metrics dataset and links every title to its detailed record. Confirm current metrics, scope, indexing, access fees, and author instructions before submission.
Top cardiology journals by Journal Metrics Score
Compare the leading matched journals, then open the individual record for more detail.
How to choose a cardiology journal
Scope before score
Confirm that the journal regularly publishes your condition, method, population, and article type before comparing metrics.
Match the reader
Choose the clinicians or researchers who should use the finding. A focused audience can be more valuable than a broader but less relevant one.
Check the evidence tier
Large trials, definitive cohorts, technical notes, case series, and laboratory studies often belong in different journals within the same specialty.
Verify current policies
Review indexing, open-access options, fees, reporting checklists, data policies, and author instructions on the journal's own website.
Major cardiology publishing areas
General cardiovascular medicine
Broad clinical and translational studies with relevance across multiple cardiology subspecialties.
Heart failure and cardiomyopathy
Trials, registries, mechanisms, devices, imaging, and outcomes focused on myocardial disease.
Interventional cardiology
Coronary, structural heart, catheter-based treatment, device, and procedural outcome research.
Electrophysiology and imaging
Focused journals reach readers in rhythm disorders, ablation, cardiac imaging, and diagnostic technology.
Continue your journal search
Use the specialty ranking as a shortlist, then compare exact journal records and broader medical publishing guidance.
Frequently asked questions
How are the best cardiology journals ranked on this page?
The table starts with journals matched to cardiology topics in the Journal Metrics dataset, removes duplicate ISSNs, excludes records without a usable Journal Metrics Score, and orders the remaining journals by that score, which is computed from OpenAlex (CC0) data. It is a metric-led shortlist, not a universal judgment of research quality or manuscript fit.
What is a useful Journal Metrics Score for a cardiology journal?
A useful Journal Metrics Score depends on the specialty and article type. Compare journals within the same OpenAlex subfield and quartile rather than applying one threshold across medicine. Scope, readership, indexing, editorial standards, and access options remain important.
How should I choose among top cardiology journals?
Start with scope and audience, then compare recent papers with your disease area, study design, population, and article type. Use the Journal Metrics Score and OpenAlex subfield quartile as citation context, but confirm current author instructions and publication policies on the journal website.
Should a cardiovascular study target a broad or subspecialty cardiology journal?
A broad journal fits results that change practice across cardiology or answer a high-priority clinical question. A subspecialty journal often provides a better audience when the methods, intervention, or disease population are primarily relevant to one cardiology community.
Written by Dr. Meng Zhao
Physician-Scientist · Founder, LabCat AI
MD · Former Neurosurgeon · Medical AI Researcher
Dr. Meng Zhao is a former neurosurgeon turned medical-AI researcher. After years in the operating room, he moved into applied AI for clinical workflows and now leads LabCat AI, a medical-AI company working on decision support and research tooling for clinicians. He built Journal Metrics as a free resource for researchers who need reliable journal metrics without paid database subscriptions.
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