World's Best Scientists 2026 revealed!
Stuart M. Grieve

Stuart M. Grieve

D-Index & Metrics

Neuroscience

D-Index
58
Citations
13682
World Ranking
4141
National Ranking
116

Stuart M. Grieve publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Stuart M. Grieve sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 235 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Stuart M. Grieve D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Stuart M. Grieve sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 58 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Stuart M. Grieve is affiliated with the University of Sydney in Australia and has contributed extensively to the field of Medicine, with a particular focus on Cardiology and Cardiovascular Medicine. Their body of work includes 166 publications, spanning several interconnected subfields such as Radiology, Nuclear Medicine and Imaging, Surgery, Immunology, and Molecular Biology.

The research topics covered by Grieve prominently include Cardiac Imaging and Diagnostics, Cardiovascular Function and Risk Factors, Advanced MRI Techniques and Applications, Cardiac Valve Diseases and Treatments, Atherosclerosis and Cardiovascular Diseases, Acute Myocardial Infarction Research, and Cardiovascular Disease and Adiposity.

Frequent collaborators in their research program have been Gemma A. Figtree, Stephen T. Vernon, Michael P. Gray, Jean Yang, and Katharine A. Kott.

The scientist regularly publishes in specific venues related to cardiovascular health and biomedical science. Among the most frequent publication venues are Heart Lung and Circulation, bioRxiv (Cold Spring Harbor Laboratory), Circulation, Frontiers in Cardiovascular Medicine, and Biomolecules.

Selected recent papers by Stuart M. Grieve include:

  • The health digital twin to tackle cardiovascular disease-a review of an emerging interdisciplinary field (2022), published in npj Digital Medicine
  • Silent brain infarcts and early cognitive outcomes after transcatheter aortic valve implantation: a systematic review and meta-analysis (2021), published in European Heart Journal
  • Characterizing the Risk of Depression Following Mild Traumatic Brain Injury: A Meta-Analysis of the Literature Comparing Chronic mTBI to Non-mTBI Populations (2020), published in Frontiers in Neurology
  • Platelet-derived growth factor-AB improves scar mechanics and vascularity after myocardial infarction (2020), published in Science Translational Medicine
  • Clinical Pathway for Coronary Atherosclerosis in Patients Without Conventional Modifiable Risk Factors (2023), published in Journal of the American College of Cardiology

Best Publications

  • Identification of a common neurobiological substrate for mental illness.

    Madeleine Goodkind;Simon B. Eickhoff;Desmond J. Oathes;Desmond J. Oathes;Ying Jiang;Ying Jiang

  • Early Life Stress and Morphometry of the Adult Anterior Cingulate Cortex and Caudate Nuclei

    Ronald A. Cohen;Stuart Grieve;Karin F. Hoth;Robert H. Paul

  • Brain maturation in adolescence: concurrent changes in neuroanatomy and neurophysiology.

    Thomas J. Whitford;Christopher J. Rennie;Christopher J. Rennie;Stuart M. Grieve;C. Richard Clark

  • Cognitive Aging, Executive Function, and Fractional Anisotropy: A Diffusion Tensor MR Imaging Study

    S.M. Grieve;L.M. Williams;R.H. Paul;C.R. Clark

  • Widespread reductions in gray matter volume in depression.

    Stuart M. Grieve;Mayuresh S. Korgaonkar;Stephen H. Koslow;Evian Gordon

  • Abnormal structural networks characterize major depressive disorder: a connectome analysis.

    Mayuresh S. Korgaonkar;Alex Fornito;Leanne M. Williams;Stuart M. Grieve

  • Preservation of limbic and paralimbic structures in aging.

    Stuart M. Grieve;C. Richard Clark;Leanne M. Williams;Leanne M. Williams;Anthony J. Peduto

  • Relationship between body mass index and brain volume in healthy adults.

    John Gunstad;Robert H. Paul;Ronald A. Cohen;David F. Tate

  • Obesity is associated with reduced white matter integrity in otherwise healthy adults.

    Kelly M. Stanek;Stuart M. Grieve;Stuart M. Grieve;Adam M. Brickman;Mayuresh S. Korgaonkar

  • Loss of White Matter Integrity in Major Depressive Disorder: Evidence Using Tract-Based Spatial Statistical Analysis of Diffusion Tensor Imaging

    Mayuresh S. Korgaonkar;Stuart M. Grieve;Stephen H. Koslow;John D.E. Gabrieli

  • The Relationship Between Frontal Gray Matter Volume and Cognition Varies Across the Healthy Adult Lifespan

    Molly E. Zimmerman;Adam M. Brickman;Robert H. Paul;Stuart M. Grieve

  • Regional white matter and neuropsychological functioning across the adult lifespan.

    Adam M. Brickman;Adam M. Brickman;Molly E. Zimmerman;Robert H. Paul;Stuart M. Grieve

  • Testing the white matter retrogenesis hypothesis of cognitive aging

    Adam M. Brickman;Irene B. Meier;Mayuresh S. Korgaonkar;Frank A. Provenzano

  • Amygdala Reactivity to Emotional Faces in the Prediction of General and Medication-Specific Responses to Antidepressant Treatment in the Randomized iSPOT-D Trial.

    Leanne M Williams;Mayuresh S Korgaonkar;Yun C Song;Rebecca Paton

  • Progressive grey matter atrophy over the first 2–3 years of illness in first-episode schizophrenia: A tensor-based morphometry study

    Thomas J. Whitford;Stuart M. Grieve;Tom F.D. Farrow;Tom F.D. Farrow;Lavier Gomes

  • Using Standardized fMRI Protocols to Identify Patterns of Prefrontal Circuit Dysregulation that are Common and Specific to Cognitive and Emotional Tasks in Major Depressive Disorder: First Wave Results from the iSPOT-D Study

    Mayuresh S Korgaonkar;Stuart M Grieve;Amit Etkin;Amit Etkin;Stephen H Koslow

  • Fast, high-resolution in vivo cine magnetic resonance imaging in normal and failing mouse hearts on a vertical 11.7 T system.

    Jürgen E. Schneider;Paul J. Cassidy;Craig Lygate;Damian J. Tyler

  • Hippocampal volume varies with educational attainment across the life-span

    Kimberly G. Noble;Kimberly G. Noble;Stuart M. Grieve;Mayuresh S. Korgaonkar;Laura E. Engelhardt

  • Assessment of motion gating strategies for mouse magnetic resonance at high magnetic fields.

    Paul J. Cassidy;Jürgen E. Schneider;Stuart M. Grieve;Craig Lygate

  • Disturbances in selective information processing associated with the BDNF Val66Met polymorphism: Evidence from cognition, the P300 and fronto-hippocampal systems

    Peter R. Schofield;Leanne M. Williams;Robert H. Paul;Justine M. Gatt

  • COMT Val108/158Met polymorphism effects on emotional brain function and negativity bias

    Leanne M. Williams;Justine M. Gatt;Stuart M. Grieve;Carol Dobson-Stone

Frequent Co-Authors

Leanne M. Williams
Leanne M. Williams Stanford University
Mayuresh S. Korgaonkar
Mayuresh S. Korgaonkar University of Sydney
David S. Celermajer
David S. Celermajer Royal Prince Alfred Hospital
Evian Gordon
Evian Gordon University of Sydney
Jerome Joseph Maller
Jerome Joseph Maller General Electric (Spain)
Peter R. Schofield
Peter R. Schofield Neuroscience Research Australia
C. Richard Clark
C. Richard Clark Flinders University
Anthony Harris
Anthony Harris University of Sydney
Amit Etkin
Amit Etkin Stanford University
Ronald A. Cohen
Ronald A. Cohen University of Florida

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Related Online Degrees & Career Pathways

Exploring neuroscience can open doors to a wide range of related career opportunities, many of which can be pursued through flexible online education. Students interested in the mental health field may consider cacrep accredited programs for counseling, which ensure high standards and professional recognition.

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A masters of psychology online is also a flexible way to gain in-depth knowledge about human behavior, research, and mental processes. These online degrees can complement neuroscience studies and help professionals pursue roles in research, clinical practice, education, or consulting. Diversifying your educational background with related health and psychology programs can enhance your future career prospects.

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