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Mayuresh S. Korgaonkar

Mayuresh S. Korgaonkar

University of Sydney
Australia

D-Index & Metrics

Neuroscience

D-Index
43
Citations
9024
World Ranking
7336
National Ranking
213

Mayuresh S. Korgaonkar 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 Mayuresh S. Korgaonkar 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: 161 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Mayuresh S. Korgaonkar 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 Mayuresh S. Korgaonkar 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: 43 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Mayuresh S. Korgaonkar is affiliated with the University of Sydney in Australia. Their research primarily spans the fields of neuroscience, medicine, and psychology. Within these broad areas, their subfields of specialization include cognitive neuroscience, clinical psychology, experimental and cognitive psychology, psychiatry and mental health, and epidemiology.

Their scholarly output has contributed to various main research topics, notably:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Traumatic Brain Injury Research
  • Posttraumatic Stress Disorder Research
  • Advanced Neuroimaging Techniques and Applications
  • Treatment of Major Depression
  • Attention Deficit Hyperactivity Disorder

Korgaonkar has published extensively, with recent papers including:

  • "Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety" (2024) published in Nature Medicine
  • "Cortical volume abnormalities in posttraumatic stress disorder: an ENIGMA-psychiatric genomics consortium PTSD workgroup mega-analysis" (2020) published in Molecular Psychiatry
  • "A Cognitive Biotype of Depression Linking Symptoms, Behavior Measures, Neural Circuits, and Differential Treatment Outcomes" (2023) published in JAMA Network Open
  • "A Systematic Review of Imaging Studies in the Combined and Inattentive Subtypes of Attention Deficit Hyperactivity Disorder" (2020) published in Frontiers in Integrative Neuroscience
  • "Default-mode and fronto-parietal network connectivity during rest distinguishes asymptomatic patients with bipolar disorder and major depressive disorder" (2021) published in Translational Psychiatry

Frequent co-authors in Korgaonkar's research include:

  • Richard A. Bryant
  • Isabella A. Breukelaar
  • Sheryl Foster
  • Leanne M. Williams
  • Ana Rita Barreiros

Their work has appeared multiple times in leading venues such as Translational Psychiatry, Biological Psychiatry, bioRxiv (Cold Spring Harbor Laboratory), NeuroImage Clinical, and Psychological Medicine.

This scholar has focused on integrating clinical, behavioral, and neuroimaging data to better understand mental health conditions and their neurological underpinnings. Their publications contribute to both the refinement of diagnostic categories and the evaluation of neural circuit functionality across various psychiatric disorders.

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

  • Smaller Hippocampal Volume in Posttraumatic Stress Disorder: A Multisite ENIGMA-PGC Study: Subcortical Volumetry Results From Posttraumatic Stress Disorder Consortia

    Mark W. Logue;Sanne J.H. van Rooij;Emily L. Dennis;Sarah L. Davis

  • 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

  • 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

  • Testing the white matter retrogenesis hypothesis of cognitive aging

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

  • Impact of early vs. late childhood early life stress on brain morphometrics

    Laurie M. Baker;Leanne M. Williams;Mayuresh S. Korgaonkar;Ronald A. Cohen

  • 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

  • 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

  • Personalized brain circuit scores identify clinically distinct biotypes in depression and anxiety

    Unknown

  • 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

  • Intrinsic connectomes are a predictive biomarker of remission in major depressive disorder.

    Mayuresh S. Korgaonkar;Andrea N. Goldstein-Piekarski;Andrea N. Goldstein-Piekarski;Alexander Fornito;Leanne M. Williams;Leanne M. Williams;Leanne M. Williams

  • Diffusion tensor imaging predictors of treatment outcomes in major depressive disorder

    Mayuresh S. Korgaonkar;Leanne M. Williams;Yun Ju Song;Tim Usherwood

  • Frontoparietal Activation During Response Inhibition Predicts Remission to Antidepressants in Patients With Major Depression

    Anett Gyurak;Brian Patenaude;Mayuresh S. Korgaonkar;Stuart M. Grieve

  • Higher education is an age-independent predictor of white matter integrity and cognitive control in late adolescence

    Kimberly G. Noble;Mayuresh S. Korgaonkar;Stuart M. Grieve;Adam M. Brickman

  • Body mass index and brain structure in healthy children and adolescents.

    Michael L. Alosco;Kelly M. Stanek;Rachel Galioto;Mayuresh S. Korgaonkar

  • Cognitive control network anatomy correlates with neurocognitive behavior: A longitudinal study

    Isabella A. Breukelaar;Cassandra Antees;Stuart M. Grieve;Stuart M. Grieve;Stuart M. Grieve;Sheryl L. Foster

  • Limbic dysregulation is associated with lowered heart rate variability and increased trait anxiety in healthy adults.

    Lilianne R. Mujica-Parodi;Mayuresh Korgaonkar;Bosky Ravindranath;Tsafrir Greenberg

  • Altered white matter microstructural organization in posttraumatic stress disorder across 3047 adults: results from the PGC-ENIGMA PTSD consortium

    Emily L Dennis;Seth G Disner;Seth G Disner;Negar Fani;Lauren E Salminen

  • Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers

    Andrea N. Goldstein-Piekarski;Brooke R. Staveland;Tali M. Ball;Jerome Yesavage;Jerome Yesavage

  • Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder.

    Mayuresh S. Korgaonkar;William Rekshan;Evian Gordon;A. John Rush

Frequent Co-Authors

Leanne M. Williams
Leanne M. Williams Stanford University
Stuart M. Grieve
Stuart M. Grieve University of Sydney
Richard A. Bryant
Richard A. Bryant University of New South Wales
Anthony Harris
Anthony Harris University of Sydney
Gin S Malhi
Gin S Malhi University of Sydney
Amit Etkin
Amit Etkin Stanford University
Gina L. Forster
Gina L. Forster University of South Dakota
Kerry J. Ressler
Kerry J. Ressler Harvard University
Peter R. Schofield
Peter R. Schofield Neuroscience Research Australia
Rajendra A. Morey
Rajendra A. Morey Duke University

External Links

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Related Online Degrees & Career Pathways

Interested in complementing your neuroscience studies with skills in mental health or counseling? There are several affordable online programs available for students seeking flexible learning options and diverse career paths. Accredited programs, such as a cacrep-accredited program, are essential if you plan to become a licensed counselor in the US. These programs ensure you receive rigorous and industry-recognized training.

For those considering further specialization, pursuing a masters in counseling online cost is an important factor. Many universities now offer budget-friendly options for students prioritizing value and flexibility. If you are drawn to family therapy, you may want to explore affordable online mft programs which open up roles such as marriage and family therapist.

Graduates with an interest in research, teaching, or applied psychology can also consider an affordable online masters in psychology. These programs allow neuroscience majors to broaden their expertise, diversify career opportunities, or pursue advanced study in mental health or human behavior.

Best Scientists Citing Mayuresh S. Korgaonkar

Simon B. Eickhoff

Simon B. Eickhoff

Heinrich Heine University Düsseldorf

Publications: 66

Leanne M. Williams

Leanne M. Williams

Stanford University

Publications: 62

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 43

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 37

Udo Dannlowski

Udo Dannlowski

University of Münster

Publications: 28

Peter R. Schofield

Peter R. Schofield

Neuroscience Research Australia

Publications: 27

Amit Etkin

Amit Etkin

Stanford University

Publications: 26

Peter T. Fox

Peter T. Fox

The University of Texas Health Science Center at San Antonio

Publications: 26

Theodore D. Satterthwaite

Theodore D. Satterthwaite

University of Pennsylvania

Publications: 25

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 24

Zafiris J. Daskalakis

Zafiris J. Daskalakis

University of California - San Diego School of Medicine

Publications: 24

Bernhard T. Baune

Bernhard T. Baune

University of Münster

Publications: 23

Yong He

Yong He

Beijing Normal University

Publications: 23

Elisabeth A. Wilde

Elisabeth A. Wilde

Baylor College of Medicine

Publications: 22

Andrew M. McIntosh

Andrew M. McIntosh

University of Edinburgh

Publications: 21

Dan J. Stein

Dan J. Stein

University of Cape Town

Publications: 21

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