Patricia B. Munroe
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 5%
- Genetics top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Co-authors
- Mark J. CaulfieldSteffen E. PetersenMartin FarrallAdrian ClarkSara MoleR. Mark GardinerPaul LavenderHannah M. Mitchison
- Topics
- Genetic Associations and Epidemiology (45 papers)Cardiac electrophysiology and arrhythmias (22 papers)Hormonal Regulation and Hypertension (21 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Patricia B. Munroe
178 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 148
- Cardiology and Cardiovascular Medicine 1.6k
- Molecular Biology 1.4k
- Genetics 998
- Endocrinology, Diabetes and Metabolism 995
- Physiology 680
Countries citing papers authored by Patricia B. Munroe
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
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 of co-authors of Patricia B. Munroe
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia B. Munroe. A scholar is included among the top collaborators of Patricia B. Munroe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia B. Munroe. Patricia B. Munroe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 3 | |
| 15 | 211 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | Association between variants of the human GSTM gene family and hypertension | 1 |
| 20 | Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study. | 1 |
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) and Hormonal Regulation and Hypertension (21 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.