W P Castelli
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Physiology top 2%
- Surgery top 5%
- Co-authors
- Patricia McNamaraM FeinleibHelen B. HubertR D AbbottW B KannelPeter W.F. WilsonRobert J. GarrisonWilliam B. Kannel
- Topics
- Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Pharmacology and Obesity Treatment (2 papers)
- Partner nations
- United StatesSwedenSouth Korea
In The Last Decade
W P Castelli
23 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cardiology and Cardiovascular Medicine 2.0k
- Endocrinology, Diabetes and Metabolism 1.3k
- Public Health, Environmental and Occupational Health 1.1k
- Physiology 1.1k
- Surgery 1.0k
Countries citing papers authored by W P Castelli
This map shows the geographic impact of W P Castelli'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 W P Castelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W P Castelli more than expected).
Fields of papers citing papers by W P Castelli
This network shows the impact of papers produced by W P Castelli. 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 W P Castelli. The network helps show where W P Castelli may publish in the future.
Co-authorship network of co-authors of W P Castelli
This figure shows the co-authorship network connecting the top 25 collaborators of W P Castelli. A scholar is included among the top collaborators of W P Castelli 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 W P Castelli. W P Castelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 6 | |
| 3 | 271 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 360 | |
| 7 | Electrocardiographic changes with advancing age. A cross-sectional study of the association of age with QRS axis, duration and voltage. | 32 |
| 8 | The spectrum of left ventricular hypertrophy in a general population sample: the Framingham Study. | 323 |
| 9 | 9 | |
| 10 | 113 | |
| 11 | 339 | |
| 12 | Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study.breakdown → | 3236 |
| 13 | 37 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | Serum lipid fractions and risk of coronary heart disease. The Framingham study. | 15 |
| 18 | Fat macroglobulinemia and fat embolism. | 15 |
| 19 | 4 | |
| 20 | The coronary profile: 12-year follow-up in the Framingham study. | 98 |
About W P Castelli
W P Castelli is a scholar working on Equine, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 4.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.0k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Pharmacy (213 citations). W P Castelli has collaborated with scholars based in United States, Sweden and South Korea. Frequent co-authors include Patricia McNamara, M Feinleib, Helen B. Hubert, R D Abbott, W B Kannel, Peter W.F. Wilson, Robert J. Garrison, William B. Kannel, Daniel Levy and J Stokes. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.