Patricia B. Munroe

76.9k citations
191 papers · 4.6k indexed · h-index 32

Patricia B. Munroe

178 papers receiving 4.5k citations

Peers

Patricia B. Munroe
Comparison fields: 5 of 148
  • Cardiology and Cardiovascular Medicine 1.6k
  • Endocrinology, Diabetes and Metabolism 995
  • Genetics 998
  • Nephrology 199
  • Physiology 680
Replace Gerald Liew with:
Gerald Liew Australia
Wolfgang Lieb Germany
Jae Hyeon Kim South Korea
Antonino Tuttolomondo Italy
Giatgen A. Spinas Switzerland
Bernard Keavney United Kingdom
Mingyu Liang United States
Cheng Hu China
Tracey McLaughlin United States
Carla Kallen Netherlands
Patricia B. Munroe relative to Gerald Liew Australia Gerald Liew's profile →
Citations per field
00.5×2.6×
Gerald Liew · 1×
Citations per year

Countries citing papers authored by Patricia B. Munroe

Since Specialization
Citations

This map shows the geographic impact of Patricia B. Munroe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patricia B. Munroe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia B. Munroe more than expected).

Fields of papers citing papers by Patricia B. Munroe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia B. Munroe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patricia B. Munroe. The network helps show where Patricia B. Munroe may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Patricia B. Munroe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patricia B. Munroe Line = papers co-authored together Patricia B. Munroe links everyone, so they are left out of the graph.

All Works

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Association between variants of the human GSTM gene family and hypertension
20061
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Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.
20051

About Patricia B. Munroe

Patricia B. Munroe is a scholar working on Cardiology and Cardiovascular Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 191 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (45 papers), Cardiac electrophysiology and arrhythmias (22 papers), Hormonal Regulation and Hypertension (21 papers), Cardiovascular Function and Risk Factors (19 papers), Cardiomyopathy and Myosin Studies (18 papers), Lysosomal Storage Disorders Research (16 papers), Renin-Angiotensin System Studies (13 papers) and Nutrition, Genetics, and Disease (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Endocrinology, Diabetes and Metabolism (995 citations) and Genetics (998 citations). Patricia B. Munroe has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Mark J. Caulfield, Steffen E. Petersen, Martin Farrall, Adrian Clark, Sara Mole, R. Mark Gardiner, Paul Lavender, Hannah M. Mitchison, Mary Lawson and Paul Turner. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nucleic Acids Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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