Patricia Munroe

About Patricia Munroe

Patricia Munroe, With an exceptional h-index of 103 and a recent h-index of 79 (since 2020), a distinguished researcher at Queen Mary University of London, specializes in the field of Genomics of Cardiovascular Disease.

His recent articles reflect a diverse array of research interests and contributions to the field:

Utilizing multimodal AI to improve genetic analyses of cardiovascular traits

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

A new test for trait mean and variance detects unreported loci for blood-pressure variation

Prioritization of Kidney Cell Types Highlights Myofibroblast Cells in Regulating Human Blood Pressure

Investigation of the Modulatory Effect of Physical Activity on Genetic Variants Associated with Left Ventricular Mass

Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

Genetic analysis of cardiac dynamic flow volumes identifies loci mapping aortic root size

Patricia Munroe Information

University

Position

___

Citations(all)

75898

Citations(since 2020)

29762

Cited By

58002

hIndex(all)

103

hIndex(since 2020)

79

i10Index(all)

243

i10Index(since 2020)

194

Email

University Profile Page

Google Scholar

Patricia Munroe Skills & Research Interests

Genomics of Cardiovascular Disease

Top articles of Patricia Munroe

Utilizing multimodal AI to improve genetic analyses of cardiovascular traits

medRxiv

2024

A new test for trait mean and variance detects unreported loci for blood-pressure variation

The American Journal of Human Genetics

2024/4/12

Investigation of the Modulatory Effect of Physical Activity on Genetic Variants Associated with Left Ventricular Mass

Journal of Cardiovascular Magnetic Resonance

2024/3/1

Genetic analysis of cardiac dynamic flow volumes identifies loci mapping aortic root size

Nature Genetics

2024/2/8

Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning

medRxiv

2024

Large-scale Mendelian randomization identifies novel pathways as therapeutic targets for heart failure with reduced ejection fraction and with preserved ejection fraction

medRxiv

2024

Slowing heart rate protects against pathological cardiac hypertrophy

Function

2023

Patricia Munroe
Patricia Munroe

H-Index: 72

Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning

European Heart Journal-Digital Health

2023/8

Integration of genetic fine-mapping and multi-omics data reveals candidate effector genes for hypertension

The American Journal of Human Genetics

2023/10/5

Long-term association of 15-second heart rate variability with cardiovascular events

Research Square

2023/10/4

Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure

Nature Communications

2023/7/10

The association between non-lipid metabolomic biomarkers and prognostically important left ventricular phenotypes

European Heart Journal-Cardiovascular Imaging

2023/6

Ultra-Short Beat-to-Beat Repolarization Variability Predicts Cardiovascular Events in Individuals Without Cardiovascular Disease

2023/10/1

Classifying hypertension mediated left ventricular hypertrophy phenotypes from the 12-lead electrocardiogram using machine learning

European Heart Journal-Cardiovascular Imaging

2023/6

See List of Professors in Patricia Munroe University(Queen Mary University of London)

Co-Authors

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