Robert W. McGarrah
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Svati H. ShahChristopher B. NewgardPhillip J. WhiteWilliam E. KrausGuofang ZhangScott B. CrownJames R. BainJacob P. Kelly
- Topics
- Metabolomics and Mass Spectrometry Studies (16 papers)Cardiovascular Function and Risk Factors (11 papers)Lipoproteins and Cardiovascular Health (8 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Robert W. McGarrah
48 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 717
- Physiology 682
- Epidemiology 376
- Endocrinology, Diabetes and Metabolism 285
Countries citing papers authored by Robert W. McGarrah
This map shows the geographic impact of Robert W. McGarrah'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 W. McGarrah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. McGarrah more than expected).
Fields of papers citing papers by Robert W. McGarrah
This network shows the impact of papers produced by Robert W. McGarrah. 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 W. McGarrah. The network helps show where Robert W. McGarrah may publish in the future.
Co-authorship network of co-authors of Robert W. McGarrah
This figure shows the co-authorship network connecting the top 25 collaborators of Robert W. McGarrah. A scholar is included among the top collaborators of Robert W. McGarrah 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 W. McGarrah. Robert W. McGarrah 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 | 9 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 24 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 5 | |
| 10 | Branched-chain amino acids in cardiovascular diseasebreakdown → | 137 |
| 11 | 3 | |
| 12 | Insulin action, type 2 diabetes, and branched-chain amino acids: A two-way streetbreakdown → | 183 |
| 13 | 41 | |
| 14 | 42 | |
| 15 | 6 | |
| 16 | 202 | |
| 17 | 1 | |
| 18 | 154 | |
| 19 | 61 | |
| 20 | 64 |
About Robert W. McGarrah
Robert W. McGarrah is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 49 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Cardiovascular Function and Risk Factors (11 papers) and Lipoproteins and Cardiovascular Health (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (717 citations), Physiology (682 citations) and Clinical Biochemistry (164 citations). Robert W. McGarrah has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Svati H. Shah, Christopher B. Newgard, Phillip J. White, William E. Kraus, Guofang Zhang, Scott B. Crown, James R. Bain, Jacob P. Kelly, Olga Ilkayeva and Carol Haynes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.
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.