The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Patricia B. Munroe sits on this spectrum.
This scientist: 396 publications — 87th percentile
87% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 703 publications or more.
The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Patricia B. Munroe sits on this spectrum.
This scientist: 121 D-Index — 92nd percentile
92% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 160 D-Index or more.
Patricia B. Munroe is affiliated with Queen Mary University of London in the United Kingdom. Their research spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with a focus on subfields such as Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, and Endocrinology, Diabetes and Metabolism.
The scientist's main research topics include Genetic Associations and Epidemiology, Cardiac Electrophysiology and Arrhythmias, Cardiomyopathy and Myosin Studies, Cardiovascular Function and Risk Factors, Cardiovascular Effects of Exercise, ECG Monitoring and Analysis, and Cardiovascular Disease and Adiposity.
Patricia B. Munroe's publication record includes notable recent papers such as: Artificial intelligence and machine learning to fight COVID-19 (2020, Physiological Genomics); Greater risk of severe COVID-19 in Black, Asian and Minority Ethnic populations is not explained by cardiometabolic, socioeconomic or behavioural factors, or by 25(OH)-vitamin D status: study of 1326 cases from the UK Biobank (2020, Journal of Public Health); Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci (2020, Frontiers in Genetics); Prognostic Significance of Left Ventricular Noncompaction (2020, Circulation Cardiovascular Imaging); and Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure (2023, Nature Communications).
The scientist frequently publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Computing in Cardiology, European Heart Journal, Heart Rhythm, and UNC Libraries.
Frequent co-authors in their work include Julia Ramírez, Steffen E. Petersen, Stefan van Duijvenboden, Nay Aung, and William J. Young, reflecting ongoing collaborations within cardiovascular genetics and related disciplines.
Paul R. Burton;David G. Clayton;Lon R. Cardon;Nick Craddock
Tanya M. Teslovich;Kiran Musunuru;Albert V. Smith;Andrew C. Edmondson
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda
Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta;Gina M. Peloso;Gina M. Peloso;Gina M. Peloso
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt
Georg B. Ehret;Georg B. Ehret;Georg B. Ehret;Patricia B. Munroe;Kenneth M. Rice;Murielle Bochud
Andrew R. Wood;Tonu Esko;Jian Yang;Sailaja Vedantam
Cristen J. Willer;Elizabeth K. Speliotes;Elizabeth K. Speliotes;Ruth J. F. Loos;Shengxu Li
Adam E. Locke;Bratati Kahali;Sonja I. Berndt;Anne E. Justice
Evangelos Evangelou;Evangelos Evangelou;Helen R. Warren;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsud
Christopher Newton-Cheh;Christopher Newton-Cheh;Toby Johnson;Toby Johnson;Vesela Gateva;Martin D. Tobin
Paul R Burton;David G Clayton;Lon R Cardon;Nick Craddock
Jennifer E. Huffman;Eva Albrecht;Alexander Teumer;Massimo Mangino
E. K. Speliotes;C. J. Willer;S. I. Berndt;K. L. Monda
Mary F. Feitosa;Aldi T. Kraja;Daniel I. Chasman;Yun J. Sung
Iris M. Heid;Anne U. Jackson;Joshua C. Randall;Tthomas W. Winkler
Ron Do;Cristen J. Willer;Ellen M. Schmidt;Sebanti Sengupta
M N Weedon;H Lango;C M Lindgren;C M Lindgren;C Wallace
H. Lango Allen;K. Estrada;G. Lettre;S. I. Berndt
Evangelos Evangelou;Helen R. Warren;David Mosen-Ansorena;Borbala Mifsu
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