Stephen F. Previs

9.9k total citations · 2 hit papers
139 papers, 7.2k citations indexed

About

Stephen F. Previs is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Stephen F. Previs has authored 139 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 54 papers in Physiology and 31 papers in Cell Biology. Recurrent topics in Stephen F. Previs's work include Diet and metabolism studies (38 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Adipose Tissue and Metabolism (28 papers). Stephen F. Previs is often cited by papers focused on Diet and metabolism studies (38 papers), Metabolomics and Mass Spectrometry Studies (33 papers) and Adipose Tissue and Metabolism (28 papers). Stephen F. Previs collaborates with scholars based in United States, Netherlands and France. Stephen F. Previs's co-authors include Gerald I. Shulman, Jianming Ren, Dominic J. Withers, Morris F. White, Heather Towery, Deborah J. Burks, Susan Bonner‐Weir, Yitao Zhang, Sebastián Pons and Dolores Bernal and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephen F. Previs

139 papers receiving 7.1k citations

Hit Papers

Disruption of IRS-2 causes type 2 diabetes in mice 1998 2026 2007 2016 1998 2011 400 800 1.2k

Peers

Stephen F. Previs
Shawn C. Burgess United States
Oswald Quehenberger United States
Xian‐Cheng Jiang United States
Daniel S. Ory United States
Ruud Berger Netherlands
Henri Brunengraber United States
P Freychet France
Joel P. Berger United States
Louis Hue Belgium
Shawn C. Burgess United States
Stephen F. Previs
Citations per year, relative to Stephen F. Previs Stephen F. Previs (= 1×) peers Shawn C. Burgess

Countries citing papers authored by Stephen F. Previs

Since Specialization
Citations

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

Fields of papers citing papers by Stephen F. Previs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen F. Previs. 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 Stephen F. Previs. The network helps show where Stephen F. Previs may publish in the future.

Co-authorship network of co-authors of Stephen F. Previs

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

All Works

20 of 20 papers shown
1.
Berthiaume, Jessica M., et al.. (2023). Ischemia promotes acyl-CoAs dephosphorylation and propionyl-CoA accumulation. Metabolomics. 19(2). 12–12. 9 indexed citations
2.
Satapati, Santhosh, Daniel Metzger, Harish Shankaran, et al.. (2022). Using measures of metabolic flux to align screening and clinical development: Avoiding pitfalls to enable translational studies. SLAS DISCOVERY. 27(1). 20–28. 4 indexed citations
3.
Ilchenko, Serguei, Nadia Rachdaoui, Tsung‐Heng Tsai, et al.. (2020). Measuring acetyl-CoA and acetylated histone turnover in vivo: Effect of a high fat diet. Analytical Biochemistry. 615. 114067–114067. 10 indexed citations
4.
Moore, Mary Courtney, David E. Kelley, Raul C. Camacho, et al.. (2018). Superior Glycemic Control With a Glucose-Responsive Insulin Analog: Hepatic and Nonhepatic Impacts. Diabetes. 67(6). 1173–1181. 15 indexed citations
5.
More, Vijay R., Julie Lao, David G. McLaren, et al.. (2017). Glucagon like receptor 1/ glucagon dual agonist acutely enhanced hepatic lipid clearance and suppressed de novo lipogenesis in mice. PLoS ONE. 12(10). e0186586–e0186586. 21 indexed citations
6.
McCullough, Arthur J., Stephen F. Previs, & Takhar Kasumov. (2017). Stable isotope-based flux studies in nonalcoholic fatty liver disease. Pharmacology & Therapeutics. 181. 22–33. 11 indexed citations
7.
Murphy, Beth, Marija Tadin‐Strapps, Kristian K. Jensen, et al.. (2017). siRNA-mediated inhibition of SREBP cleavage-activating protein reduces dyslipidemia in spontaneously dysmetabolic rhesus monkeys. Metabolism. 71. 202–212. 9 indexed citations
8.
Singh, Sheo B., Ling Kang, Andrea R. Nawrocki, et al.. (2016). The Fatty Acid Synthase Inhibitor Platensimycin Improves Insulin Resistance without Inducing Liver Steatosis in Mice and Monkeys. PLoS ONE. 11(10). e0164133–e0164133. 17 indexed citations
9.
Wang, Shengping, Ying Chen, José Castro‐Perez, et al.. (2013). In vivo effects of anacetrapib on preβ HDL: improvement in HDL remodeling without effects on cholesterol absorption. Journal of Lipid Research. 54(10). 2858–2865. 13 indexed citations
10.
Irimia, José M., Catalina M. Meyer, Lanmin Zhai, et al.. (2010). Impaired Glucose Tolerance and Predisposition to the Fasted State in Liver Glycogen Synthase Knock-out Mice. Journal of Biological Chemistry. 285(17). 12851–12861. 72 indexed citations
11.
Wang, Benlian, Gang Sun, David R. Anderson, et al.. (2007). Isotopologue distributions of peptide product ions by tandem mass spectrometry: Quantitation of low levels of deuterium incorporation. Analytical Biochemistry. 367(1). 40–48. 26 indexed citations
12.
Wang, Benlian, et al.. (2007). Inaccuracies in selected ion monitoring determination of isotope ratios obviated by profile acquisition: nucleotide 18O/16O measurements. Analytical Biochemistry. 367(1). 28–39. 15 indexed citations
13.
Velliquette, Rodney A., et al.. (2006). Lipid-lowering actions of imidazoline antihypertensive agents in metabolic syndrome X. Naunyn-Schmiedeberg s Archives of Pharmacology. 372(4). 300–312. 19 indexed citations
14.
Bederman, Ilya, Daniel Z. Brunengraber, Nadia Rachdaoui, et al.. (2005). Using2H2O to study the influence of feeding on protein synthesis: effect of isotope equilibration in vivo vs. in cell culture. American Journal of Physiology-Endocrinology and Metabolism. 288(6). E1277–E1283. 79 indexed citations
15.
Brunengraber, Daniel Z., et al.. (2002). Gas Chromatography–Mass Spectrometry Assay of the 18O Enrichment of Water as Trimethyl Phosphate. Analytical Biochemistry. 306(2). 278–282. 19 indexed citations
16.
Schumann, William C., Amalia Gastaldelli, Visvanathan Chandramouli, et al.. (2001). Determination of the Enrichment of the Hydrogen Bound to Carbon 5 of Glucose on 2H2O Administration. Analytical Biochemistry. 297(2). 195–197. 34 indexed citations
17.
Previs, Stephen F., Dominic J. Withers, Jianming Ren, Morris F. White, & Gerald I. Shulman. (2000). Contrasting Effects of IRS-1 Versus IRS-2 Gene Disruption on Carbohydrate and Lipid Metabolism in Vivo. Journal of Biological Chemistry. 275(50). 38990–38994. 237 indexed citations
18.
Previs, Stephen F. & Henri Brunengraber. (1998). Methods for measuring gluconeogenesis in vivo. Current Opinion in Clinical Nutrition & Metabolic Care. 1(5). 461–465. 23 indexed citations
19.
Withers, Dominic J., Heather Towery, Deborah J. Burks, et al.. (1998). Disruption of IRS-2 causes type 2 diabetes in mice. Nature. 391(6670). 900–904. 1412 indexed citations breakdown →
20.
Previs, Stephen F., et al.. (1994). Assay of the Concentration and 13C-Labeling Pattern of Phenylacetylglutamine by Nuclear Magnetic Resonance. Analytical Biochemistry. 221(2). 368–373. 7 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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