Robert P. Byington
- Endocrinology, Diabetes and Metabolism top 0.05%
- Cardiology and Cardiovascular Medicine top 0.5%
- Surgery top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Hertzel C. GersteinMichael E. MillerDavid C. GoffJohn B. BuseWilliam C. CushmanDenise G. Simons‐MortonSaul GenuthJ. Thomas Bigger
- Topics
- Lipoproteins and Cardiovascular Health (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Diabetes Treatment and Management (9 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Robert P. Byington
55 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Endocrinology, Diabetes and Metabolism 7.1k
- Cardiology and Cardiovascular Medicine 4.1k
- Surgery 3.1k
- Molecular Biology 1.8k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Robert P. Byington
This map shows the geographic impact of Robert P. Byington'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 Robert P. Byington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert P. Byington more than expected).
Fields of papers citing papers by Robert P. Byington
This network shows the impact of papers produced by Robert P. Byington. 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 Robert P. Byington. The network helps show where Robert P. Byington may publish in the future.
Co-authorship network of co-authors of Robert P. Byington
This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. Byington. A scholar is included among the top collaborators of Robert P. Byington 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 Robert P. Byington. Robert P. Byington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | Abstract 19724: Hypertriglyceridemia and Low HDL-C Predicts Fenofibrate Response in The ACCORD-Lipid Trial | 2 |
| 3 | 292 | |
| 4 | 180 | |
| 5 | 2 | |
| 6 | 82 | |
| 7 | 89 | |
| 8 | 3 | |
| 9 | 44 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 497 | |
| 13 | 37 | |
| 14 | 65 | |
| 15 | 15 | |
| 16 | 56 | |
| 17 | 8 | |
| 18 | 83 | |
| 19 | 91 | |
| 20 | 14 |
About Robert P. Byington
Robert P. Byington is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 55 papers that have together received 11.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Diabetes Treatment and Management (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (7.1k citations), Cardiology and Cardiovascular Medicine (4.1k citations) and Surgery (3.1k citations). Robert P. Byington has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Hertzel C. Gerstein, Michael E. Miller, David C. Goff, John B. Buse, William C. Cushman, Denise G. Simons‐Morton, Saul Genuth, J. Thomas Bigger, Faramarz Ismail‐Beigi and Richard H. Grimm. 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.