Richard M. Moe
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Economics and Econometrics top 10%
- Cancer Research
- Co-authors
- James H. O’KeefeWilliam H. HarrisRobert A. VogelLoren CordainBen D. McCallisterJohn J. MilesKhaldoon AlaswadRobyn Schaiff
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Lipoproteins and Cardiovascular Health (3 papers)Cancer, Lipids, and Metabolism (1 paper)
- Journals
- Journal of the American College of CardiologyMayo Clinic ProceedingsSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- United States
In The Last Decade
Richard M. Moe
6 papers receiving 413 citations
Peers
Comparison fields: 5 of 73
- Surgery 307
- Endocrinology, Diabetes and Metabolism 181
- Cardiology and Cardiovascular Medicine 111
- Economics and Econometrics 92
- Cancer Research 57
Countries citing papers authored by Richard M. Moe
This map shows the geographic impact of Richard M. Moe'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 Richard M. Moe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Moe more than expected).
Fields of papers citing papers by Richard M. Moe
This network shows the impact of papers produced by Richard M. Moe. 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 Richard M. Moe. The network helps show where Richard M. Moe may publish in the future.
Co-authorship network of co-authors of Richard M. Moe
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Moe. A scholar is included among the top collaborators of Richard M. Moe 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 Richard M. Moe. Richard M. Moe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An overview of cholesterol management. | 12 |
| 2 | 344 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 72 | |
| 6 | 1 |
About Richard M. Moe
Richard M. Moe is a scholar working on Endocrinology, Diabetes and Metabolism, Industrial and Manufacturing Engineering and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 447 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (181 citations), Surgery (307 citations) and Cardiology and Cardiovascular Medicine (111 citations). Richard M. Moe has collaborated with scholars based in United States. Frequent co-authors include James H. O’Keefe, William H. Harris, Robert A. Vogel, Loren Cordain, Ben D. McCallister, John J. Miles, Khaldoon Alaswad, Robyn Schaiff, William S. Harris and Walker S. Carlos Poston. Their work appears in journals such as Journal of the American College of Cardiology, Mayo Clinic Proceedings and SAE technical papers on CD-ROM/SAE technical paper series.
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.