J. Paul Mounsey

High Impact

Researcher

UAMS

Last publication 2025 Last refreshed 2026-05-16

faculty

33 h-index 168 pubs 3,227 cited

Research Areas

Links

ORCID Lab Website Research Group UAMS TRI Profile

OverviewAI-generated summary

J. Paul Mounsey's research focuses on cardiovascular conditions, particularly atrial fibrillation and heart failure. He has investigated various treatment modalities, including catheter ablation guided by contact force and local impedance in animal models, and the efficacy of sodium-glucose cotransporter 2 inhibitors for acute heart failure. His work also examines strategies for managing atrial fibrillation, such as comparing electrode positions for biphasic cardioversion and evaluating oral anticoagulation in patients with end-stage kidney disease. Additionally, Mounsey has explored the application of machine learning in device therapy for heart failure and has contributed to understanding sudden death victims by analyzing mental disorders, substance use disorders, and psychotropic medication use.

Mounsey's research interests extend to procedural techniques, including percutaneous pericardiocentesis. He has authored or co-authored numerous publications, with a notable h-index of 33 and over 3,200 citations, reflecting a significant body of work in his field. He actively collaborates with researchers at the University of Arkansas for Medical Sciences, including Subodh Devabhaktuni, Hakan Paydak, and Srikanth Vallurupalli.

Metrics

h-index: 33
Publications: 168
Citations: 3,227

Selected Publications

Dual-morphology Bundle Branch Re-entrant Ventricular Tachycardia in Non-dilated Cardiomyopathy (2025)

DOI OpenAlex
Percutaneous pericardiocentesis using the apical approach: case series and review of the literature (2024)

1 citation DOI OpenAlex
Inappropriate Subcutaneous Implantable Cardioverter-defibrillator Shocks—A Rare Case of Triple Counting (2023)

DOI OpenAlex
Correction to: Primary prevention programming for defibrillators: need for a device clinic-based intervention (2023)

DOI OpenAlex
How should we measure success in atrial fibrillation ablation? The monitoring strategy depends on the outcome of interest (2023)

2 citations DOI OpenAlex
Primary prevention programming for defibrillators: need for a device clinic-based intervention (2023)

DOI OpenAlex
WAVELET DECOMPOSITION USING FAST FOURIER TRANSFORMFOR THE PREDICTION OF INCIDENT ATRIAL FIBRILLATION ON ELECTROCARDIOGRAPHY (2023)

DOI OpenAlex
Promises and challenges of machine learning for device therapy in heart failure (2023)

3 citations DOI OpenAlex
Abstract 15427: Reduction of Epicardial Fat, Clinical Risk Factors & Symptomatology in Paroxysmal AF Patient With Severe Aortic Stenosis and Metabolic Syndrome via Mobile Cardiometabolic Health & Weight Loss Program (2022)

DOI OpenAlex
Meta-Analysis Comparing Anterior-Lateral Versus Anterior-Posterior Electrode Position for Biphasic Cardioversion in Atrial Fibrillation (2022)

4 citations DOI OpenAlex
Efficacy and safety of sodium-glucose cotransporter 2 inhibitors initiation in patients with acute heart failure, with and without type 2 diabetes: a systematic review and meta-analysis (2022)

78 citations DOI OpenAlex
Improved Ablation Efficiency in PVI Guided by Contact Force and Local Impedance: Chronic Canine Model (2022)

10 citations DOI OpenAlex
Is heart rate in post-hematopoietic stem cell transplant patients clinically relevant? (2021)

1 citation DOI OpenAlex
Out of Hospital Sudden Death in a Rural Population: Low Rates of ICD Underutilization Among Decedents (2021)

DOI OpenAlex