Bernard V. Miller

1.2k total citations
17 papers, 897 citations indexed

About

Bernard V. Miller is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Bernard V. Miller has authored 17 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Bernard V. Miller's work include Diet and metabolism studies (8 papers), Obesity, Physical Activity, Diet (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Bernard V. Miller is often cited by papers focused on Diet and metabolism studies (8 papers), Obesity, Physical Activity, Diet (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Bernard V. Miller collaborates with scholars based in United States, Australia and Canada. Bernard V. Miller's co-authors include Samuel Klein, Dennis T. Villareal, Marian Banks, David R. Sinacore, Luigi Fontana, Richard I. Stein, Holly R. Wyatt, Kevin D. Hall, Gary D. Foster and Amber B. Courville and has published in prestigious journals such as Nature Neuroscience, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.

In The Last Decade

Bernard V. Miller

17 papers receiving 859 citations

Peers

Bernard V. Miller

PHYSI

EDM

PHEOH

CCM

EPIDE

C.M. Champagne United States

Ifigenia Giannopoulou Greece

Kara L. Marlatt United States

Ingrid Frey Germany

Amy M. Goss United States

Angelo Tremblay Canada

Monica Martin United States

Georgios Valsamakis Greece

Juan José Hernández Morante Spain

Maria Lundgren Sweden

C.M. Champagne United States

Bernard V. Miller

411 ×1.0

PHYSI

280 ×1.0

EDM

239 ×1.1

PHEOH

115 ×0.7

CCM

170 ×1.2

EPIDE

Citations per year, relative to Bernard V. Miller Bernard V. Miller (= 1×) peers C.M. Champagne

Countries citing papers authored by Bernard V. Miller

Since Specialization

Citations

This map shows the geographic impact of Bernard V. Miller'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 Bernard V. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard V. Miller more than expected).

Fields of papers citing papers by Bernard V. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernard V. Miller. 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 Bernard V. Miller. The network helps show where Bernard V. Miller may publish in the future.

Co-authorship network of co-authors of Bernard V. Miller

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

All Works

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17 of 17 papers shown

1.

Hibbeln, Joseph R., Anthony F. Domenichiello, Christopher E. Ramsden, et al.. (2018). Quantitation of Human Whole‐Body Synthesis‐Secretion Rates of Docosahexaenoic Acid and Eicosapentaenoate Acid from Circulating Unesterified α‐Linolenic Acid at Steady State. Lipids. 53(5). 547–558. 13 indexed citations

2.

Hall, Kevin D., Robert J. Brychta, Kong Y. Chen, et al.. (2015). Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. Cell Metabolism. 22(3). 531–531. 7 indexed citations

3.

Hall, Kevin D., Robert J. Brychta, Kong Y. Chen, et al.. (2015). Calorie for Calorie, Dietary Fat Restriction Results in More Body Fat Loss than Carbohydrate Restriction in People with Obesity. Cell Metabolism. 22(3). 427–436. 199 indexed citations

4.

Miller, Bernard V., Gloria Zalos, Amber B. Courville, et al.. (2014). Weight Loss Programs May Have Beneficial or Adverse Effects on Fat Mass and Insulin Sensitivity in Overweight and Obese Black Women. Journal of Racial and Ethnic Health Disparities. 1(3). 140–147. 4 indexed citations

5.

Simmons, W. Kyle, Kristina M. Rapuano, John E. Ingeholm, et al.. (2013). Category-specific integration of homeostatic signals in caudal but not rostral human insula. Nature Neuroscience. 16(11). 1551–1552. 80 indexed citations

6.

Nielsen, Søren, et al.. (2013). Free fatty acid flux in African‐American and caucasian adults—effect of sex and race. Obesity. 21(9). 1836–1842. 9 indexed citations

7.

Miller, Bernard V., et al.. (2012). Bayesian Functional Integral Method for Inferring Continuous Data from Discrete Measurements. Biophysical Journal. 102(3). 399–406. 4 indexed citations

8.

Friedman, Allon N., Lorraine G. Ogden, Gary D. Foster, et al.. (2012). Comparative Effects of Low-Carbohydrate High-Protein Versus Low-Fat Diets on the Kidney. Clinical Journal of the American Society of Nephrology. 7(7). 1103–1111. 85 indexed citations

9.

Miller, Bernard V., Bruce W. Patterson, Adewole L. Okunade, & Samuel Klein. (2012). Fatty acid and very low density lipoprotein metabolism in obese African American and Caucasian women with type 2 diabetes. Journal of Lipid Research. 53(12). 2767–2772. 12 indexed citations

10.

Chow, Carson C., Vipul Periwal, György Csákó, et al.. (2011). Higher Acute Insulin Response to Glucose May Determine Greater Free Fatty Acid Clearance in African-American Women. The Journal of Clinical Endocrinology & Metabolism. 96(8). 2456–2463. 39 indexed citations

11.

Knight, Michael G., et al.. (2011). Metabolic Syndrome Does Not Detect Metabolic Risk in African Men Living in the U.S.. Diabetes Care. 34(10). 2297–2299. 42 indexed citations

12.

Sumner, Anne E., Jane Harman, Sarah G. Buxbaum, et al.. (2010). The Triglyceride/High-Density Lipoprotein Cholesterol Ratio Fails to Predict Insulin Resistance in African-American Women: An Analysis of Jackson Heart Study. Metabolic Syndrome and Related Disorders. 8(6). 511–514. 58 indexed citations

13.

Foster, Gary D., Holly R. Wyatt, James O. Hill, et al.. (2010). Weight and Metabolic Outcomes After 2 Years on a Low-Carbohydrate Versus Low-Fat Diet. Obstetrical & Gynecological Survey. 65(12). 769–770. 6 indexed citations

14.

Fuentes, Lisa de las, Alan D. Waggoner, B. Selma Mohammed, et al.. (2009). Effect of Moderate Diet-Induced Weight Loss and Weight Regain on Cardiovascular Structure and Function. Journal of the American College of Cardiology. 54(25). 2376–2381. 118 indexed citations

15.

Villareal, Dennis T., Bernard V. Miller, Marian Banks, et al.. (2006). Effect of lifestyle intervention on metabolic coronary heart disease risk factors in obese older adults. American Journal of Clinical Nutrition. 84(6). 1317–1323. 183 indexed citations

16.

Miller, Bernard V., Joseph Bertino, Roberta G. Reed, et al.. (2003). An Evaluation of the Atkins' Diet. Metabolic Syndrome and Related Disorders. 1(4). 299–309. 15 indexed citations

17.

Rebello, Sam, et al.. (1997). CVS-1123, A Direct Thrombin Inhibitor, Prevents Occlusive Arterial and Venous Thrombosis in a Canine Model of Vascular Injury. Journal of Cardiovascular Pharmacology. 29(2). 240–249. 23 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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