Glenn Sivits

2.2k citations
10 papers · 1.5k indexed · 1 hit paper · h-index 10

Glenn Sivits

10 papers receiving 1.5k citations

Hit Papers

Fibroblast Growth Factor 21 Reverses Hepatic Steatosis, I...9742008202620142020250500750

Peers

Glenn Sivits
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 348
  • Molecular Biology 1.0k
  • Physiology 342
  • Endocrine and Autonomic Systems 83
  • Epidemiology 305
Replace Anne Reifel‐Miller with:
Anne Reifel‐Miller United States
Xudong Huang China
Sarah Anissa Hannou France
Fanny Lalloyer France
Yasuhisa Hino Japan
Petra Tollet‐Egnell Sweden
Hjalmar Gullberg Sweden
Susanne U. Trost United States
Elodie M. Varin Canada
Shoji Kuroda Japan
Glenn Sivits relative to Anne Reifel‐Miller United States Anne Reifel‐Miller's profile →
Citations per field
00.5×7.1×
Anne Reifel‐Miller · 1×
Citations per year

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

The 25 scholars most cited alongside Glenn Sivits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Glenn Sivits Line = papers co-authored together Glenn Sivits links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 202511
2 2020110
3 2015172
4 201523
5 201410
6 201447
7 201128
8 201045
9 200984
10
Fibroblast Growth Factor 21 Reverses Hepatic Steatosis, Increases Energy Expenditure, and Improves Insulin Sensitivity in Diet-Induced Obese Micebreakdown →
2008974

About Glenn Sivits

Glenn Sivits is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (5 papers), Fibroblast Growth Factor Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Neonatal Health and Biochemistry (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (348 citations), Molecular Biology (1.0k citations) and Physiology (342 citations). Glenn Sivits has collaborated with scholars based in United States, Switzerland and Canada. Frequent 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. Their work appears in journals such as Nature Communications, Cell Metabolism and Diabetes.

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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