Brian T. Steffen

2.8k total citations
47 papers, 1.2k citations indexed

About

Brian T. Steffen is a scholar working on Surgery, Nutrition and Dietetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Brian T. Steffen has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 16 papers in Nutrition and Dietetics and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Brian T. Steffen's work include Lipoproteins and Cardiovascular Health (14 papers), Fatty Acid Research and Health (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Brian T. Steffen is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Fatty Acid Research and Health (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). Brian T. Steffen collaborates with scholars based in United States, Canada and United Kingdom. Brian T. Steffen's co-authors include Michael Y. Tsai, Weihua Guan, Joseph P. McConnell, Russell Warnick, Jing Cao, Daniel M Hoefner, Alan T. Remaley, Amy B. Karger, Daniel Duprez and Lyn M. Steffen and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetes.

In The Last Decade

Brian T. Steffen

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian T. Steffen United States	19	613	386	315	164	159	47	1.2k
Akintunde O. Akinkuolie United States	20	384 0.6×	367 1.0×	431 1.4×	219 1.3×	109 0.7×	30	1.4k
Carlo M. Barbagallo Italy	22	747 1.2×	580 1.5×	503 1.6×	86 0.5×	173 1.1×	100	1.6k
David Colquhoun Australia	11	631 1.0×	341 0.9×	341 1.1×	74 0.5×	143 0.9×	16	1.1k
Wensheng Sun United States	16	655 1.1×	790 2.0×	421 1.3×	53 0.3×	149 0.9×	27	1.4k
Robert S. Rosenson United States	13	525 0.9×	359 0.9×	368 1.2×	42 0.3×	142 0.9×	26	961
José Luis Zamorano Spain	5	994 1.6×	468 1.2×	472 1.5×	45 0.3×	187 1.2×	9	1.5k
Bertram L. Kasiske United States	11	493 0.8×	514 1.3×	573 1.8×	119 0.7×	135 0.8×	11	1.7k
Anandita Agarwala United States	18	588 1.0×	445 1.2×	369 1.2×	42 0.3×	141 0.9×	59	1.2k
Eliscer Guzman United States	17	374 0.6×	256 0.7×	337 1.1×	45 0.3×	119 0.7×	28	1.0k
Gudrun Lamm Austria	14	631 1.0×	957 2.5×	315 1.0×	68 0.4×	118 0.7×	43	1.7k

Countries citing papers authored by Brian T. Steffen

Since Specialization

Citations

This map shows the geographic impact of Brian T. Steffen'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 T. Steffen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Steffen more than expected).

Fields of papers citing papers by Brian T. Steffen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Steffen. 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 T. Steffen. The network helps show where Brian T. Steffen may publish in the future.

Co-authorship network of co-authors of Brian T. Steffen

This figure shows the co-authorship network connecting the top 25 collaborators of Brian T. Steffen. A scholar is included among the top collaborators of Brian T. Steffen 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 T. Steffen. Brian T. Steffen 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

Steffen, Brian T., David R. Jacobs, Simon J. Lees, et al.. (2023). Long-term aspartame and saccharin intakes are related to greater volumes of visceral, intermuscular, and subcutaneous adipose tissue: the CARDIA study. International Journal of Obesity. 47(10). 939–947. 12 indexed citations

Kang, Zhiyu, Weihua Guan, Sahar Lotfi‐Emran, et al.. (2023). Developing A Baseline Metabolomic Signature Associated with COVID-19 Severity: Insights from Prospective Trials Encompassing 13 U.S. Centers. Metabolites. 13(11). 1107–1107.

Steffen, Brian T., Daniel J. McDonough, James S. Pankow, et al.. (2023). Plasma Neuronal Growth Regulator 1 May Link Physical Activity to Reduced Risk of Type 2 Diabetes: A Proteome-Wide Study of ARIC Participants. Diabetes. 73(2). 318–324. 1 indexed citations

Steffen, Brian T., et al.. (2023). Added sugar intake is associated with weight gain and risk of developing obesity over 30 years: The CARDIA study. Nutrition Metabolism and Cardiovascular Diseases. 34(2). 466–474. 8 indexed citations

Steffen, Brian T., James S. Pankow, Faye L. Norby, et al.. (2022). Proteomics Analysis of Genetic Liability of Abdominal Aortic Aneurysm Identifies Plasma Neogenin and Kit Ligand: The ARIC Study. Arteriosclerosis Thrombosis and Vascular Biology. 43(2). 367–378. 6 indexed citations

Steffen, Brian T., Weihong Tang, Pamela L. Lutsey, et al.. (2022). Proteomic analysis of diabetes genetic risk scores identifies complement C2 and neuropilin-2 as predictors of type 2 diabetes: the Atherosclerosis Risk in Communities (ARIC) Study. Diabetologia. 66(1). 105–115. 12 indexed citations

Steffen, Brian T., Weihua Guan, Jingzhong Ding, et al.. (2021). Plasma omega-3 and saturated fatty acids are differentially related to pericardial adipose tissue volume across race/ethnicity: the Multi-ethnic Study of Atherosclerosis. European Journal of Clinical Nutrition. 75(8). 1237–1244. 1 indexed citations

Norby, Faye L., Weihong Tang, James S. Pankow, et al.. (2021). Proteomics and Risk of Atrial Fibrillation in Older Adults (From the Atherosclerosis Risk in Communities [ARIC] Study). The American Journal of Cardiology. 161. 42–50. 14 indexed citations

Weir, Natalie L., Sarah Nomura, Brian T. Steffen, et al.. (2020). Associations between omega-6 polyunsaturated fatty acids, hyperinsulinemia and incident diabetes by race/ethnicity: The Multi-Ethnic Study of Atherosclerosis. Clinical Nutrition. 39(10). 3031–3041. 25 indexed citations

10.

Weir, Natalie L., Brian T. Steffen, Weihua Guan, et al.. (2019). Circulating omega-7 fatty acids are differentially related to metabolic dysfunction and incident type II diabetes: The Multi-Ethnic Study of Atherosclerosis (MESA). Diabetes & Metabolism. 46(4). 319–325. 11 indexed citations

11.

Cao, Jing, Sarah Nomura, Brian T. Steffen, et al.. (2019). Apolipoprotein B discordance with low-density lipoprotein cholesterol and non–high-density lipoprotein cholesterol in relation to coronary artery calcification in the Multi-Ethnic Study of Atherosclerosis (MESA). Journal of clinical lipidology. 14(1). 109–121.e5. 32 indexed citations

12.

Steffen, Brian T., Daniel Duprez, Moysés Szklo, Weihua Guan, & Michael Y. Tsai. (2018). Circulating oleic acid levels are related to greater risks of cardiovascular events and all-cause mortality: The Multi-Ethnic Study of Atherosclerosis. Journal of clinical lipidology. 12(6). 1404–1412. 44 indexed citations

13.

Cao, Jing, Brian T. Steffen, Weihua Guan, et al.. (2017). A comparison of three apolipoprotein B methods and their associations with incident coronary heart disease risk over a 12-year follow-up period: The Multi-Ethnic Study of Atherosclerosis. Journal of clinical lipidology. 12(2). 300–304. 17 indexed citations

14.

Steffen, Brian T., Suzette J. Bielinski, Paul A. Decker, et al.. (2017). Low high-density lipoprotein cholesterol and particle concentrations are associated with greater levels of endothelial activation markers in Multi-Ethnic Study of Atherosclerosis participants. Journal of clinical lipidology. 11(4). 955–963.e3. 4 indexed citations

15.

Forbang, Nketi I, Michael H. Criqui, Matthew Allison, et al.. (2015). Sex and ethnic differences in the associations between lipoprotein(a) and peripheral arterial disease in the Multi-Ethnic Study of Atherosclerosis. Journal of Vascular Surgery. 63(2). 453–458. 42 indexed citations

16.

Liang, Shuang, Lyn M. Steffen, Brian T. Steffen, et al.. (2013). APOE genotype modifies the association between plasma omega-3 fatty acids and plasma lipids in the Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis. 228(1). 181–187. 22 indexed citations

17.

Steffen, Brian T., Lyn M. Steffen, Russell P. Tracy, et al.. (2012). Ethnicity, plasma phospholipid fatty acid composition and inflammatory/endothelial activation biomarkers in the Multi-Ethnic Study of Atherosclerosis (MESA). European Journal of Clinical Nutrition. 66(5). 600–605. 51 indexed citations

18.

Steffen, Brian T., Lyn M. Steffen, Russell P. Tracy, et al.. (2011). Obesity modifies the association between plasma phospholipid polyunsaturated fatty acids and markers of inflammation: the Multi-Ethnic Study of Atherosclerosis. International Journal of Obesity. 36(6). 797–804. 31 indexed citations

19.

Tsai, Alexander K., Brian T. Steffen, José M. Ordovás, et al.. (2011). Short-term fenofibrate treatment reduces elevated plasma Lp-PLA2 mass and sVCAM-1 levels in a subcohort of hypertriglyceridemic GOLDN participants. Translational research. 158(2). 99–105. 6 indexed citations

20.

Dong, Yan, Brian T. Steffen, Jing Cao, et al.. (2010). Effects of fenofibrate on plasma oxidized LDL and 8-isoprostane in a sub-cohort of GOLDN participants. Atherosclerosis. 214(2). 422–425. 14 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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