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Gregory J. Cooney

Gregory J. Cooney

University of Sydney
Australia

D-Index & Metrics

Medicine

D-Index
82
Citations
23861
World Ranking
16154
National Ranking
538

Gregory J. Cooney publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Gregory J. Cooney sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 257 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Gregory J. Cooney D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Gregory J. Cooney sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 82 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Gregory J. Cooney is affiliated with the University of Sydney in Australia. Their research spans several interconnected fields, focusing primarily on metabolism, biochemistry, and molecular biology within medical science.

The scientist's main fields of study include Medicine and Biochemistry, Genetics and Molecular Biology. Their work often addresses subfields such as Physiology, Molecular Biology, Surgery, Epidemiology, and Biochemistry.

Key research topics in their portfolio cover the following areas:

  • Adipose Tissue and Metabolism
  • Diet and metabolism studies
  • Pancreatic function and diabetes
  • Mitochondrial Function and Pathology
  • Metabolism, Diabetes, and Cancer
  • Lipid metabolism and biosynthesis
  • Diet, Metabolism, and Disease

Notable recent papers authored or co-authored by Gregory J. Cooney include:

  • Branched chain amino acids, aging and age-related health (2020), published in Ageing Research Reviews
  • Mitochondrial uncoupler BAM15 reverses diet-induced obesity and insulin resistance in mice (2020), published in Nature Communications
  • Impact of dietary carbohydrate type and protein-carbohydrate interaction on metabolic health (2021), published in Nature Metabolism
  • Systems-level analysis of insulin action in mouse strains provides insight into tissue- and pathway-specific interactions that drive insulin resistance (2022), published in Cell Metabolism
  • Nutritional reprogramming of mouse liver proteome is dampened by metformin, resveratrol, and rapamycin (2021), published in Cell Metabolism

Frequent collaborators in the scientist's work include:

  • Amanda E. Brandon
  • David E. James
  • Kristen C. Cooke
  • Mark Larance
  • Stephen J. Simpson

Gregory J. Cooney has published consistently in a range of academic venues with multiple papers in each, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cell Metabolism
  • Journal of Biological Chemistry
  • iScience
  • eLife

Best Publications

  • Mechanism by Which Fatty Acids Inhibit Insulin Activation of Insulin Receptor Substrate-1 (IRS-1)-associated Phosphatidylinositol 3-Kinase Activity in Muscle *

    Chunli Yu;Yan Chen;Gary W. Cline;Dongyan Zhang

  • The Ratio of Macronutrients, Not Caloric Intake, Dictates Cardiometabolic Health, Aging, and Longevity in Ad Libitum-Fed Mice.

    Samantha M. Solon-Biet;Aisling C. McMahon;J. William O. Ballard;Kari Ruohonen

  • Excess lipid availability increases mitochondrial fatty acid oxidative capacity in muscle: evidence against a role for reduced fatty acid oxidation in lipid-induced insulin resistance in rodents.

    Nigel Turner;Clinton R. Bruce;Susan M. Beale;Kyle L. Hoehn

  • Berberine and Its More Biologically Available Derivative, Dihydroberberine, Inhibit Mitochondrial Respiratory Complex I: A Mechanism for the Action of Berberine to Activate AMP-Activated Protein Kinase and Improve Insulin Action

    Nigel Turner;Jing Ya Li;Alison Gosby;Sabrina W.C. To

  • Insulin resistance is a cellular antioxidant defense mechanism

    Kyle L Hoehn;Adam B Salmon;Cordula Hohnen-Behrens;Nigel Turner

  • Mechanisms of Liver and Muscle Insulin Resistance Induced by Chronic High-Fat Feeding

    Nicholas D Oakes;Gregory J Cooney;Souad Camilleri;Donald J Chisholm

  • Dietary fats and insulin action

    L. H. Storlien;L. A. Baur;A. D. Kriketos;D. A. Pan;D. A. Pan

  • Peroxisome Proliferator—Activated Receptor (PPAR)-α Activation Lowers Muscle Lipids and Improves Insulin Sensitivity in High Fat—Fed Rats Comparison With PPAR-γ Activation

    Ji-Ming Ye;Patrick J. Doyle;Miguel A. Iglesias;David G. Watson

  • Distinct patterns of tissue-specific lipid accumulation during the induction of insulin resistance in mice by high-fat feeding

    Nigel Turner;Nigel Turner;Grzegorz Kowalski;Grzegorz Kowalski;Simon J Leslie;Steve Risis

  • Mouse strain-dependent variation in obesity and glucose homeostasis in response to high-fat feeding

    Magdalene K Montgomery;Nicole L Hallahan;Simon H J Brown;Menghan Liu

  • Overexpression of carnitine palmitoyltransferase-1 in skeletal muscle is sufficient to enhance fatty acid oxidation and improve high-fat diet-induced insulin resistance.

    Clinton R Bruce;Andrew James Hoy;Nigel Turner;Matthew James Watt

  • An Actn3 knockout mouse provides mechanistic insights into the association between α-actinin-3 deficiency and human athletic performance

    Daniel G. MacArthur;Jane T. Seto;Stephen Chan;Kate G.R. Quinlan

  • Long-chain acyl-CoA esters as indicators of lipid metabolism and insulin sensitivity in rat and human muscle

    Bronwyn A. Ellis;Ann Poynten;Andrew J. Lowy;Stuart M. Furler

  • AICAR Administration Causes an Apparent Enhancement of Muscle and Liver Insulin Action in Insulin-Resistant High-Fat-Fed Rats

    Miguel A. Iglesias;Ji-Ming Ye;Georgia Frangioudakis;Asish K. Saha

  • The role of intramuscular lipid in insulin resistance

    Bronwyn D Hegarty;Stuart M Furler;J M Ye;G J Cooney

  • Insulin-like growth factor-binding protein-1 modulates blood glucose levels.

    Lewitt Ms;Denyer Gs;Cooney Gj;Baxter Rc

  • Muscle Oxidative Capacity Is a Better Predictor of Insulin Sensitivity than Lipid Status

    Clinton R. Bruce;Mitchell J. Anderson;Andrew L. Carey;David G. Newman

  • Free fatty acids and skeletal muscle insulin resistance.

    Edward W Kraegen;Gregory J Cooney

  • Branched chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control.

    Samantha M Solon-Biet;Victoria C Cogger;Tamara Pulpitel;Devin Wahl;Devin Wahl

  • Disassociation of muscle triglyceride content and insulin sensitivity after exercise training in patients with Type 2 diabetes

    C. R. Bruce;A. D. Kriketos;G. J. Cooney;J. A. Hawley

Frequent Co-Authors

Nigel Turner
Nigel Turner University of New South Wales
Edward W. Kraegen
Edward W. Kraegen Garvan Institute of Medical Research
David E. James
David E. James University of Sydney
David G. Le Couteur
David G. Le Couteur University of Sydney
Trevor J. Biden
Trevor J. Biden Garvan Institute of Medical Research
Kathryn N. North
Kathryn N. North University of Melbourne
Stephen J. Simpson
Stephen J. Simpson University of Sydney
Daniel G. MacArthur
Daniel G. MacArthur Garvan Institute of Medical Research
Neil B. Ruderman
Neil B. Ruderman Boston University
Eric A. Newsholme
Eric A. Newsholme University of Oxford

External Links

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Best Scientists Citing Gregory J. Cooney

Gerald I. Shulman

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Yale University

Publications: 143

Stephen J. Simpson

Stephen J. Simpson

University of Sydney

Publications: 66

Herbert Herzog

Herbert Herzog

Garvan Institute of Medical Research

Publications: 59

Matthew J. Watt

Matthew J. Watt

University of Melbourne

Publications: 58

Mark A. Febbraio

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Monash University

Publications: 52

David Raubenheimer

David Raubenheimer

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Publications: 50

Nigel Turner

Nigel Turner

University of New South Wales

Publications: 49

Amanda Sainsbury

Amanda Sainsbury

University of Western Australia

Publications: 46

Arend Bonen

Arend Bonen

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Publications: 46

Benoit Viollet

Benoit Viollet

Institut Cochin

Publications: 45

Gary W. Cline

Gary W. Cline

Yale University

Publications: 44

Kathryn N. North

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Publications: 43

David G. Le Couteur

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University of Sydney

Publications: 40

Ralph A. DeFronzo

Ralph A. DeFronzo

The University of Texas Health Science Center at San Antonio

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Yale University

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