Glenn Sivits

2.2k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

Glenn Sivits is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Glenn Sivits has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Glenn Sivits's work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers) and Diabetes Treatment and Management (5 papers). Glenn Sivits is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers) and Diabetes Treatment and Management (5 papers). Glenn Sivits collaborates with scholars based in United States, Switzerland and Canada. Glenn Sivits's co-authors include Murielle M. Véniant, David J. Lloyd, Richard Lindberg, Steven Vonderfecht, Clarence Hale, Zhiyou Zhang, Randy Hecht, Jason K. Kim, Jing Xu and Shanaka Stanislaus and has published in prestigious journals such as Nature Communications, Cell Metabolism and Diabetes.

In The Last Decade

Glenn Sivits

10 papers receiving 1.5k citations

Hit Papers

Fibroblast Growth Factor 21 Reverses Hepatic Steatosis, I... 2008 2026 2014 2020 2008 250 500 750

Peers

Glenn Sivits
Anne Reifel‐Miller United States
Paul Jung United States
Katy J. Brocklehurst United Kingdom
Catherine Arden United Kingdom
Joan Helmering United States
Anne Reifel‐Miller United States
Glenn Sivits
Citations per year, relative to Glenn Sivits Glenn Sivits (= 1×) peers Anne Reifel‐Miller

Countries citing papers authored by Glenn Sivits

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Sivits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn Sivits. 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 Glenn Sivits. The network helps show where Glenn Sivits may publish in the future.

Co-authorship network of co-authors of Glenn Sivits

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

All Works

10 of 10 papers shown
1.
Liu, Clarissa M., Elizabeth A. Killion, Rola Hammoud, et al.. (2025). GIPR-Ab/GLP-1 peptide–antibody conjugate requires brain GIPR and GLP-1R for additive weight loss in obese mice. Nature Metabolism. 7(6). 1266–1281. 11 indexed citations
2.
Killion, Elizabeth A., Michelle Chen, James R. Falsey, et al.. (2020). Chronic glucose-dependent insulinotropic polypeptide receptor (GIPR) agonism desensitizes adipocyte GIPR activity mimicking functional GIPR antagonism. Nature Communications. 11(1). 110 indexed citations
3.
Véniant, Murielle M., Glenn Sivits, Joan Helmering, et al.. (2015). Pharmacologic Effects of FGF21 Are Independent of the “Browning” of White Adipose Tissue. Cell Metabolism. 21(5). 731–738. 172 indexed citations
4.
Tamayo, Nuria, Mark H. Norman, Michael D. Bartberger, et al.. (2015). Small Molecule Disruptors of the Glucokinase–Glucokinase Regulatory Protein Interaction: 5. A Novel Aryl Sulfone Series, Optimization Through Conformational Analysis. Journal of Medicinal Chemistry. 58(11). 4462–4482. 23 indexed citations
5.
Hong, Fang‐Tsao, Mark H. Norman, Kate S. Ashton, et al.. (2014). Small Molecule Disruptors of the Glucokinase–Glucokinase Regulatory Protein Interaction: 4. Exploration of a Novel Binding Pocket. Journal of Medicinal Chemistry. 57(14). 5949–5964. 10 indexed citations
6.
7.
Gu, Wei, David J. Lloyd, Renée Komorowski, et al.. (2011). Pharmacological Targeting of Glucagon and Glucagon-Like Peptide 1 Receptors Has Different Effects on Energy State and Glucose Homeostasis in Diet-Induced Obese Mice. Journal of Pharmacology and Experimental Therapeutics. 338(1). 70–81. 28 indexed citations
8.
Gu, Wei, Katherine A. Winters, Alykhan Motani, et al.. (2010). Glucagon receptor antagonist-mediated improvements in glycemic control are dependent on functional pancreatic GLP-1 receptor. American Journal of Physiology-Endocrinology and Metabolism. 299(4). E624–E632. 45 indexed citations
9.
Gu, Wei, Hai Yan, Katherine A. Winters, et al.. (2009). Long-Term Inhibition of the Glucagon Receptor with a Monoclonal Antibody in Mice Causes Sustained Improvement in Glycemic Control, with Reversible α-Cell Hyperplasia and Hyperglucagonemia. Journal of Pharmacology and Experimental Therapeutics. 331(3). 871–881. 84 indexed citations
10.
Xu, Jing, David J. Lloyd, Clarence Hale, et al.. (2008). Fibroblast Growth Factor 21 Reverses Hepatic Steatosis, Increases Energy Expenditure, and Improves Insulin Sensitivity in Diet-Induced Obese Mice. Diabetes. 58(1). 250–259. 974 indexed citations breakdown →

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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