Hayes M. Dansky
- Surgery top 2%
- Immunology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Jonathan D. SmithJan L. BreslowEdward A. FisherYale MitchelSukrut ShahEliot A. BrintonPhilip J. BarterAntonio M. Gotto
- Topics
- Lipoproteins and Cardiovascular Health (17 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Atherosclerosis and Cardiovascular Diseases (11 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Hayes M. Dansky
50 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Surgery 1.8k
- Immunology 1.0k
- Endocrinology, Diabetes and Metabolism 999
- Molecular Biology 843
- Cardiology and Cardiovascular Medicine 831
Countries citing papers authored by Hayes M. Dansky
This map shows the geographic impact of Hayes M. Dansky'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 Hayes M. Dansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayes M. Dansky more than expected).
Fields of papers citing papers by Hayes M. Dansky
This network shows the impact of papers produced by Hayes M. Dansky. 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 Hayes M. Dansky. The network helps show where Hayes M. Dansky may publish in the future.
Co-authorship network of co-authors of Hayes M. Dansky
This figure shows the co-authorship network connecting the top 25 collaborators of Hayes M. Dansky. A scholar is included among the top collaborators of Hayes M. Dansky 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 Hayes M. Dansky. Hayes M. Dansky 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 | 4 | |
| 3 | 178 | |
| 4 | 9 | |
| 5 | Intensification of Statin Therapy Results in a Rapid Reduction in Atherosclerotic Inflammationbreakdown → | 304 |
| 6 | 43 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 47 | |
| 10 | 69 | |
| 11 | Safety of Anacetrapib in Patients with or at High Risk for Coronary Heart Diseasebreakdown → | 544 |
| 12 | 46 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 17 | |
| 17 | A transplant model to study the long term effects of apoprotein AI overexpression on large, complex atherosclerotic lesions in ApoE-deficient mice | 2 |
| 18 | 65 | |
| 19 | 69 | |
| 20 | 3 |
About Hayes M. Dansky
Hayes M. Dansky is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Immunology, having authored 51 papers that have together received 3.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Atherosclerosis and Cardiovascular Diseases (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (999 citations), Immunology (1.0k citations) and Surgery (1.8k citations). Hayes M. Dansky has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jonathan D. Smith, Jan L. Breslow, Edward A. Fisher, Yale Mitchel, Sukrut Shah, Eliot A. Brinton, Philip J. Barter, Antonio M. Gotto, Christopher P. Cannon and Michael H. Davidson. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences 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.