Brian G. Sutherland
Impact in
- Biochemistry top 1%
- Phytochemicals and Antioxidant Activities
-
- Natural Antidiabetic Agents Studies
Papers in
- Epidemiology 14
- Adipokines, Inflammation, and Metabolic Diseases 8
- Liver Disease Diagnosis and Treatment 6
- Surgery 12
- Cholesterol and Lipid Metabolism 10
- Co-authors
- Murray W. Huff (25 shared papers)Dawn E. Telford (25 shared papers)Cynthia G. Sawyez (22 shared papers)Jane Y. Edwards (20 shared papers)Erin E. Mulvihill (8 shared papers)Amy C. Burke (14 shared papers)Julia M. Assini (6 shared papers)Emma M. Allister (3 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (11 papers)Journal of Lipid Research (6 papers)Atherosclerosis Supplements (5 papers)Diabetes (2 papers)Endocrinology (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Brian G. Sutherland
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Biochemistry 378
- Endocrinology, Diabetes and Metabolism 324
- Epidemiology 352
- Pharmacology 77
- Physiology 218
Countries citing papers authored by Brian G. Sutherland
This map shows the geographic impact of Brian G. Sutherland'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 Brian G. Sutherland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian G. Sutherland more than expected).
Fields of papers citing papers by Brian G. Sutherland
This network shows the impact of papers produced by Brian G. Sutherland. 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 Brian G. Sutherland. The network helps show where Brian G. Sutherland may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian G. Sutherland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 250 | |
| 2 | 2011 | 173 | |
| 3 | 2010 | 133 | |
| 4 | 2012 | 113 | |
| 5 | 2018 | 99 | |
| 6 | 2006 | 91 | |
| 7 | 2015 | 90 | |
| 8 | 2017 | 72 | |
| 9 | 2014 | 67 | |
| 10 | 2020 | 50 | |
| 11 | 2013 | 45 | |
| 12 | 2018 | 36 | |
| 13 | 2018 | 33 | |
| 14 | 2019 | 26 | |
| 15 | 2020 | 21 | |
| 16 | 2005 | 20 | |
| 17 | 2003 | 20 | |
| 18 | 2020 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2016 | 9 |
About Brian G. Sutherland
Brian G. Sutherland is a scholar working on Epidemiology, Surgery, Molecular Biology, Physiology and Plant Science, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Bioactive Compounds in Plants (7 papers), Adipose Tissue and Metabolism (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biochemistry (378 citations), Endocrinology, Diabetes and Metabolism (324 citations), Epidemiology (352 citations), Pharmacology (77 citations) and Physiology (218 citations). Brian G. Sutherland has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Murray W. Huff, Dawn E. Telford, Cynthia G. Sawyez, Jane Y. Edwards, Erin E. Mulvihill, Amy C. Burke, Julia M. Assini, Emma M. Allister, Robert A. Hegele and P. Hugh R. Barrett. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Journal of Lipid Research, Atherosclerosis Supplements, Diabetes and Endocrinology.
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.