Peter J. Savage
- Endocrinology, Diabetes and Metabolism top 0.02%
- Cardiology and Cardiovascular Medicine top 0.1%
- Epidemiology top 0.1%
- Physiology top 0.2%
- Public Health, Environmental and Occupational Health top 0.1%
- Co-authors
- Scott M. GrundyRobert H. EckelStephen R. DanielsDavid J. GordonRonald M. KraussFernando CostaJohn A. SpertusJames I. Cleeman
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers)Diabetes Treatment and Management (22 papers)Cardiovascular Health and Disease Prevention (18 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Peter J. Savage
140 papers receiving 28.3k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Endocrinology, Diabetes and Metabolism 11.9k
- Cardiology and Cardiovascular Medicine 9.0k
- Epidemiology 6.5k
- Physiology 5.5k
- Public Health, Environmental and Occupational Health 4.8k
Countries citing papers authored by Peter J. Savage
This map shows the geographic impact of Peter J. Savage'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 Peter J. Savage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Savage more than expected).
Fields of papers citing papers by Peter J. Savage
This network shows the impact of papers produced by Peter J. Savage. 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 Peter J. Savage. The network helps show where Peter J. Savage may publish in the future.
Co-authorship network of co-authors of Peter J. Savage
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Savage. A scholar is included among the top collaborators of Peter J. Savage 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 Peter J. Savage. Peter J. Savage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 57 | |
| 3 | 9 | |
| 4 | 34 | |
| 5 | 37 | |
| 6 | 56 | |
| 7 | 80 | |
| 8 | 400 | |
| 9 | 136 | |
| 10 | 436 | |
| 11 | 122 | |
| 12 | 202 | |
| 13 | 14 | |
| 14 | 60 | |
| 15 | 120 | |
| 16 | 61 | |
| 17 | 191 | |
| 18 | 72 | |
| 19 | 25 | |
| 20 | 43 |
About Peter J. Savage
Peter J. Savage is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology, having authored 141 papers that have together received 29.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers), Diabetes Treatment and Management (22 papers) and Cardiovascular Health and Disease Prevention (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (11.9k citations), Cardiology and Cardiovascular Medicine (9.0k citations) and Physiology (5.5k citations). Peter J. Savage has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott M. Grundy, Robert H. Eckel, Stephen R. Daniels, David J. Gordon, Ronald M. Krauss, Fernando Costa, John A. Spertus, James I. Cleeman, Karen A. Donato and Sidney C. Smith. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.