Nicholas G. D. Masca
- Family Practice top 2%
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- Blood Pressure and Hypertension Studies 2
- Heart Rate Variability and Autonomic Control 1
- Cardiac Valve Diseases and Treatments 1
- Geriatrics and Gerontology top 10%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 1
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- Genetic Associations and Epidemiology 4
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- Meta-analysis and systematic reviews 2
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- Cardiac Imaging and Diagnostics 2
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- Statistical Methods in Clinical Trials 2
- Co-authors
- Maciej TomaszewskiBryan WilliamsPankaj GuptaAdrian G. StanleyPrashanth PatelNilesh J. SamaniW. MadiraNuala A. Sheehan
- Journals
- International Journal of Epidemiology (2 papers)Journal of Magnetic Resonance Imaging (1 paper)Heart (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Nicholas G. D. Masca
10 papers receiving 540 citations
Peers
Comparison fields: 5 of 84
- Family Practice 102
- Cardiology and Cardiovascular Medicine 316
- Geriatrics and Gerontology 31
- Endocrinology, Diabetes and Metabolism 77
- Health Informatics 5
Countries citing papers authored by Nicholas G. D. Masca
This map shows the geographic impact of Nicholas G. D. Masca'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 Nicholas G. D. Masca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas G. D. Masca more than expected).
Fields of papers citing papers by Nicholas G. D. Masca
This network shows the impact of papers produced by Nicholas G. D. Masca. 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 Nicholas G. D. Masca. The network helps show where Nicholas G. D. Masca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas G. D. Masca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 34 | |
| 2 | 2016 | 8 | |
| 3 | 2014 | 258 | |
| 4 | 2014 | 30 | |
| 5 | 2014 | 4 | |
| 6 | 2014 | 64 | |
| 7 | 2012 | 27 | |
| 8 | 2011 | 14 | |
| 9 | 2011 | 0 | |
| 10 | 2010 | 114 | |
| 11 | 2010 | 2 |
About Nicholas G. D. Masca
Nicholas G. D. Masca is a scholar working on Family Practice, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 11 papers that have together received 555 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Meta-analysis and systematic reviews (2 papers), Cardiac Imaging and Diagnostics (2 papers), Statistical Methods in Clinical Trials (2 papers), Blood Pressure and Hypertension Studies (2 papers), Heart Rate Variability and Autonomic Control (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Family Practice (102 citations), Cardiology and Cardiovascular Medicine (316 citations) and Geriatrics and Gerontology (31 citations). Nicholas G. D. Masca has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Maciej Tomaszewski, Bryan Williams, Pankaj Gupta, Adrian G. Stanley, Prashanth Patel, Nilesh J. Samani, W. Madira, Nuala A. Sheehan, Paul R. Burton and Susan Wallace. Their work appears in journals such as International Journal of Epidemiology, Journal of Magnetic Resonance Imaging, Heart, Arteriosclerosis Thrombosis and Vascular Biology and Statistics in Medicine.
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.