Jerrold M. Olefsky

92.6k citations
600 papers · 75.7k · 37 hit papers · h-index 140

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 237
    • Protein Kinase Regulation and GTPase Signaling 70
    • Peroxisome Proliferator-Activated Receptors 53
    • Adipose Tissue and Metabolism 146
    • Diet and metabolism studies 52

Jerrold M. Olefsky

597 papers receiving 72.3k citations

Jerrold M. Olefsky's Hit Papers

Lipid-associated macrophages’ promotion of fibrosis resolution during MASH regression requires TREM2 2024 · 61 citations
610+4+9Years since publication50010001.5k

Peers

Jerrold M. Olefsky
Comparison fields: 5 of 178
  • Endocrinology, Diabetes and Metabolism 14.9k
  • Physiology 22.8k
  • Endocrine and Autonomic Systems 4.3k
  • Epidemiology 17.3k
  • Molecular Biology 33.8k
Replace C. Ronald Kahn with:
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Barbara B. Kahn United States
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Yūji Matsuzawa Japan
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Citations per year

Countries citing papers authored by Jerrold M. Olefsky

Since Specialization
Citations

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

Fields of papers citing papers by Jerrold M. Olefsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrold M. Olefsky. 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 Jerrold M. Olefsky. The network helps show where Jerrold M. Olefsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Jerrold M. Olefsky, 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 Jerrold M. Olefsky Line = papers co-authored together Jerrold M. Olefsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 600 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Macrophages, Inflammation, and Insulin Resistance
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20102290
2
GPR120 Is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-inflammatory and Insulin-Sensitizing Effects
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20102015
3
Inflammatory mechanisms linking obesity and metabolic disease
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20171579
4
IKK-β links inflammation to obesity-induced insulin resistance
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20051515
5
Inflammation in obesity, diabetes, and related disorders
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20221294
6
The cellular and signaling networks linking the immune system and metabolism in disease
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20121255
7
Complex Distribution, Not Absolute Amount of Adiponectin, Correlates with Thiazolidinedione-mediated Improvement in Insulin Sensitivity
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20041005
8
Adipose Tissue Macrophage-Derived Exosomal miRNAs Can Modulate In Vivo and In Vitro Insulin Sensitivity
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2017974
9
Insulin sensitivity: modulation by nutrients and inflammation
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2008968
10
Inflammation and insulin resistance
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2007927
11
Thiazolidinediones in the Treatment of Insulin Resistance and Type II Diabetes
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1996888
12
A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-like Receptors 2 and 4 and JNK-dependent Pathways
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2007846
13
Adipose-specific peroxisome proliferator-activated receptor γ knockout causes insulin resistance in fat and liver but not in muscle
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2003833
14
Improvement in Glucose Tolerance and Insulin Resistance in Obese Subjects Treated with Troglitazone
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1994820
15
Neutrophils mediate insulin resistance in mice fed a high-fat diet through secreted elastase
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2012777
16
Inflammation and Lipid Signaling in the Etiology of Insulin Resistance
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2012748
17
Ablation of CD11c-Positive Cells Normalizes Insulin Sensitivity in Obese Insulin Resistant Animals
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2008694
18
Equivalence of the insulin sensitivity index in man derived by the minimal model method and the euglycemic glucose clamp.
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1987657
19
Acute and Chronic Effect of Insulin on Leptin Production in Humans: Studies In Vivo and In Vitro
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1996641
20
Toll-Like Receptor 9 Promotes Steatohepatitis by Induction of Interleukin-1β in Mice
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2010639

About Jerrold M. Olefsky

Jerrold M. Olefsky is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 600 papers that have together received 75.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (237 papers), Adipose Tissue and Metabolism (146 papers), Pancreatic function and diabetes (144 papers), Adipokines, Inflammation, and Metabolic Diseases (89 papers), Protein Kinase Regulation and GTPase Signaling (70 papers), Peroxisome Proliferator-Activated Receptors (53 papers), Diet and metabolism studies (52 papers) and Diabetes Treatment and Management (51 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (14.9k citations), Physiology (22.8k citations), Endocrine and Autonomic Systems (4.3k citations), Epidemiology (17.3k citations) and Molecular Biology (33.8k citations). Jerrold M. Olefsky has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Christopher K. Glass, Alan R. Saltiel, Gerald M. Reaven, Orville Kolterman, Olivia Osborn, Takeshi Imamura, Pingping Li, Gautam Bandyopadhyay, Da Young Oh and Carl de Luca. Their work appears in journals such as Diabetes, Journal of Biological Chemistry, Journal of Clinical Investigation, Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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