Brian G. Sutherland

1.7k total citations
35 papers, 1.4k citations indexed

About

Brian G. Sutherland is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Brian G. Sutherland has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in Brian G. Sutherland's work include Cholesterol and Lipid Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Bioactive Compounds in Plants (7 papers). Brian G. Sutherland is often cited by papers focused on Cholesterol and Lipid Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Bioactive Compounds in Plants (7 papers). Brian G. Sutherland collaborates with scholars based in Canada, Australia and United States. Brian G. Sutherland's 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 and has published in prestigious journals such as Diabetes, International Journal of Molecular Sciences and Endocrinology.

In The Last Decade

Brian G. Sutherland

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Brian G. Sutherland Canada	17	559	378	352	324	318	35	1.4k
Jane Y. Edwards Canada	21	760 1.4×	318 0.8×	386 1.1×	366 1.1×	627 2.0×	33	1.8k
Dawn E. Telford Canada	27	792 1.4×	365 1.0×	413 1.2×	548 1.7×	876 2.8×	45	2.1k
Cynthia G. Sawyez Canada	26	938 1.7×	389 1.0×	498 1.4×	473 1.5×	661 2.1×	44	2.2k
Tom Huang Australia	23	1.2k 2.2×	261 0.7×	232 0.7×	466 1.4×	185 0.6×	43	2.4k
Hicham Berrougui Canada	26	362 0.6×	284 0.8×	101 0.3×	261 0.8×	373 1.2×	67	1.6k
Emma M. Allister Canada	18	849 1.5×	208 0.6×	302 0.9×	455 1.4×	755 2.4×	25	1.9k
Min‐Yu Chung South Korea	20	495 0.9×	162 0.4×	374 1.1×	345 1.1×	130 0.4×	62	1.4k
Sudheer K. Mantena United States	18	709 1.3×	286 0.8×	568 1.6×	269 0.8×	80 0.3×	25	2.0k
Feihua Wu China	24	622 1.1×	189 0.5×	193 0.5×	266 0.8×	93 0.3×	63	1.5k
Young‐Sil Lee South Korea	22	547 1.0×	237 0.6×	236 0.7×	208 0.6×	113 0.4×	39	1.3k

Countries citing papers authored by Brian G. Sutherland

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Brian G. Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Brian G. Sutherland. A scholar is included among the top collaborators of Brian G. Sutherland 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 Brian G. Sutherland. Brian G. Sutherland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wade, Trevor, Karen Nygard, Ousseynou Sarr, et al.. (2022). Feasibility of MRI Quantification of Myelin Water Fraction in the Fetal Guinea Pig Brain. Journal of Magnetic Resonance Imaging. 57(6). 1856–1864. 1 indexed citations

Burke, Amy C., Andrew Wang, Dawn E. Telford, et al.. (2020). The citrus flavonoid nobiletin confers protection from metabolic dysregulation in high-fat-fed mice independent of AMPK. Journal of Lipid Research. 61(3). 387–402. 50 indexed citations

Wilson, Rachel B., Brian G. Sutherland, Cynthia G. Sawyez, et al.. (2020). The marine compound and elongation factor 1A1 inhibitor, didemnin B, provides benefit in western diet-induced non-alcoholic fatty liver disease. Pharmacological Research. 161. 105208–105208. 14 indexed citations

Park, Chanho, Zengxuan Nong, Hao Yin, et al.. (2019). Vitamin D intervention does not improve vascular regeneration in diet-induced obese male mice with peripheral ischemia. The Journal of Nutritional Biochemistry. 70. 65–74. 8 indexed citations

Burke, Amy C., Brian G. Sutherland, Dawn E. Telford, et al.. (2019). Naringenin enhances the regression of atherosclerosis induced by a chow diet in Ldlr mice. Atherosclerosis. 286. 60–70. 26 indexed citations

Burke, Amy C., Brian G. Sutherland, Dawn E. Telford, et al.. (2018). Intervention with citrus flavonoids reverses obesity and improves metabolic syndrome and atherosclerosis in obese Ldlr−/− mice. Journal of Lipid Research. 59(9). 1714–1728. 99 indexed citations

Burke, Amy C., Dawn E. Telford, Jane Y. Edwards, et al.. (2018). Naringenin Supplementation to a Chow Diet Enhances Energy Expenditure and Fatty Acid Oxidation, and Reduces Adiposity in Ldlr-/- Mice with Isocaloric Food Intake. Atherosclerosis Supplements. 32. 23–23. 1 indexed citations

Burke, Amy C., Brian G. Sutherland, Cynthia G. Sawyez, Dawn E. Telford, & Murray W. Huff. (2016). Abstract 95: Naringenin Supplementation of a Low-Fat Diet Enhances the Reversal of Metabolic Dysfunction, Promotes Atherosclerosis Regression and Improves Lesion Pathology in Ldlr ^-/- Mice. Arteriosclerosis Thrombosis and Vascular Biology. 36(suppl_1). 1 indexed citations

Nong, Zengxuan, Brian G. Sutherland, Cynthia G. Sawyez, et al.. (2016). Niacin promotes revascularization and recovery of limb function in diet‐induced obese mice with peripheral ischemia. Pharmacology Research & Perspectives. 4(3). e00233–e00233. 9 indexed citations

10.

Burke, Amy C., Dawn E. Telford, Brian G. Sutherland, et al.. (2016). Abstract 18: Bempedoic Acid Lowers Low Density Lipoprotein-Cholesterol and Attenuates Aortic Atherosclerosis in LDL Receptor-Deficient ( LDLR ^+/- and LDLR ^-/- ) Yucatan Miniature Pigs. Arteriosclerosis Thrombosis and Vascular Biology. 36(suppl_1). 1 indexed citations

11.

Assini, Julia M., Erin E. Mulvihill, Amy C. Burke, et al.. (2015). Naringenin Prevents Obesity, Hepatic Steatosis, and Glucose Intolerance in Male Mice Independent of Fibroblast Growth Factor 21. Endocrinology. 156(6). 2087–2102. 90 indexed citations

12.

Telford, Dawn E., Morgan D. Fullerton, Rebecca J. Ford, et al.. (2014). PPARδ activation attenuates hepatic steatosis in Ldlr mice by enhanced fat oxidation, reduced lipogenesis, and improved insulin sensitivity. Journal of Lipid Research. 55(7). 1254–1266. 67 indexed citations

13.

Burke, Amy C., Brian G. Sutherland, Cynthia G. Sawyez, et al.. (2014). Abstract 67: Intervention With Citrus Flavonoids Reverses Existing Metabolic Disorders and Attenuates the Progression of Advanced Atherosclerosis in High Fat--Fed LDLr-/- Mice. Arteriosclerosis Thrombosis and Vascular Biology. 34(suppl_1). 3 indexed citations

14.

Burke, Amy C., Dawn E. Telford, Brian G. Sutherland, et al.. (2013). Peroxisome Proliferator–Activated Receptor δ Agonist GW1516 Attenuates Diet-Induced Aortic Inflammation, Insulin Resistance, and Atherosclerosis in Low-Density Lipoprotein Receptor Knockout Mice. Arteriosclerosis Thrombosis and Vascular Biology. 34(1). 52–60. 45 indexed citations

15.

Assini, Julia M., Erin E. Mulvihill, Brian G. Sutherland, et al.. (2012). Naringenin prevents cholesterol-induced systemic inflammation, metabolic dysregulation, and atherosclerosis in Ldlr mice. Journal of Lipid Research. 54(3). 711–724. 113 indexed citations

16.

Mulvihill, Erin E., Julia M. Assini, Brian G. Sutherland, et al.. (2010). Naringenin Decreases Progression of Atherosclerosis by Improving Dyslipidemia in High-Fat–Fed Low-Density Lipoprotein Receptor–Null Mice. Arteriosclerosis Thrombosis and Vascular Biology. 30(4). 742–748. 133 indexed citations

17.

Mulvihill, Erin E., Emma M. Allister, Brian G. Sutherland, et al.. (2009). Naringenin Prevents Dyslipidemia, Apolipoprotein B Overproduction, and Hyperinsulinemia in LDL Receptor–Null Mice With Diet-Induced Insulin Resistance. Diabetes. 58(10). 2198–2210. 250 indexed citations

18.

Telford, Dawn E., Brian G. Sutherland, Jane Y. Edwards, et al.. (2006). The molecular mechanisms underlying the reduction of LDL apoB-100 by ezetimibe plus simvastatin. Journal of Lipid Research. 48(3). 699–708. 91 indexed citations

19.

Telford, Dawn E., P. Hugh R. Barrett, Brian G. Sutherland, et al.. (2005). A Novel Inhibitor of Oxidosqualene:Lanosterol Cyclase Inhibits Very Low–Density Lipoprotein Apolipoprotein B100 (ApoB100) Production and Enhances Low-Density Lipoprotein ApoB100 Catabolism Through Marked Reduction in Hepatic Cholesterol Content. Arteriosclerosis Thrombosis and Vascular Biology. 25(12). 2608–2614. 20 indexed citations

20.

Telford, Dawn E., Jane Y. Edwards, Brian G. Sutherland, et al.. (2003). Inhibition of both the apical sodium-dependent bile acid transporter and HMG-CoA reductase markedly enhances the clearance of LDL apoB. Journal of Lipid Research. 44(5). 943–952. 20 indexed citations

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.

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