World's Best Scientists 2026 revealed!
Avram J. Holmes

Avram J. Holmes

D-Index & Metrics

Neuroscience

D-Index
75
Citations
26224
World Ranking
1984
National Ranking
949

Avram J. Holmes 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 Avram J. Holmes 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: 168 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Avram J. Holmes 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 Avram J. Holmes 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: 75 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Avram J. Holmes is affiliated with Yale University in the United States. Their research spans multiple areas within neuroscience and medicine, with a particular focus on cognitive neuroscience and imaging techniques.

The scientist's primary fields of study include:

  • Neuroscience
  • Medicine

Subfields of research encompass:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Experimental and Cognitive Psychology
  • Health, Toxicology and Mutagenesis
  • Genetics

Major research topics covered in their work are:

  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Health, Environment, Cognitive Aging
  • Birth, Development, and Health

Holmes has contributed to scientific literature appearing frequently in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Nature Communications
  • Nature Neuroscience
  • NeuroImage

Recent notable papers include:

  • "Brain charts for the human lifespan," 2022, Nature
  • "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years," 2021, Human Brain Mapping
  • "Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior," 2021, Cerebral Cortex
  • "Shifting gradients of macroscale cortical organization mark the transition from childhood to adolescence," 2021, Proceedings of the National Academy of Sciences
  • "The default network of the human brain is associated with perceived social isolation," 2020, Nature Communications

The scientist has collaborated extensively with several researchers, including:

  • B.T. Thomas Yeo
  • Danilo Bzdok
  • Sidhant Chopra
  • Ru Kong
  • Simon B. Eickhoff

Best Publications

  • Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI

    Alexander Schaefer;Ru Kong;Evan M Gordon;Timothy O Laumann

  • Brain charts for the human lifespan

    Unknown

  • Reduced Caudate and Nucleus Accumbens Response to Rewards in Unmedicated Individuals With Major Depressive Disorder

    Diego A. Pizzagalli;A.M. Avram J. Holmes;Daniel G. Dillon;B.A. Elena L. Goetz

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

    Ru Kong;Jingwei Li;Csaba Orban;Mert R Sabuncu

  • Parcellating cortical functional networks in individuals

    Danhong Wang;Randy L Buckner;Michael D Fox;Michael D Fox;Daphne J Holt

  • An open science resource for establishing reliability and reproducibility in functional connectomics

    Xi Nian Zuo;Jeffrey S. Anderson;Pierre Bellec;Rasmus M. Birn

  • Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

    Avram J. Holmes;Marisa O. Hollinshead;Timothy M. O’Keefe;Victor I. Petrov

  • Brain Reactivity to Smoking Cues Prior to Smoking Cessation Predicts Ability to Maintain Tobacco Abstinence

    Amy C. Janes;Diego A. Pizzagalli;Sarah Richardt;Blaise de B. Frederick

  • Childhood adversity is associated with left basal ganglia dysfunction during reward anticipation in adulthood

    Daniel G. Dillon;Avram J. Holmes;Jeffrey L. Birk;Nancy Brooks

  • Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder

    Justin T. Baker;Justin T. Baker;Avram J. Holmes;Grace A. Masters;B. T. Thomas Yeo;B. T. Thomas Yeo

  • Global signal regression strengthens association between resting-state functional connectivity and behavior

    Jingwei Li;Ru Kong;Raphaël Liégeois;Csaba Orban

  • Specificity of prefrontal dysfunction and context processing deficits to schizophrenia in never-medicated patients with first-episode psychosis.

    Angus W. MacDonald;Cameron S. Carter;John G. Kerns;Stefan Ursu

  • Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression

    Michael T. Treadway;Michael L. Waskom;Daniel G. Dillon;Avram J. Holmes;Avram J. Holmes

  • Spatiotemporal dynamics of error processing dysfunctions in major depressive disorder.

    Avram J. Holmes;Diego A. Pizzagalli

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

    Tong He;Ru Kong;Avram J. Holmes;Minh Nguyen

  • Specificity of prefrontal dysfunction and context processing deficits to schizophrenia in never-medicated patients with first-episode psychosis

    Angus W. Macdonald;Cameron S. Carter;John G. Kerns;Stefan Ursu

  • An open science resource for establishing reliability and reproducibility in functional

    Randy L. Buckner;Vince D. Calhoun;F. Xavier Castellanos;Antao Chen

Frequent Co-Authors

Jordan W. Smoller
Jordan W. Smoller Harvard University
Randy L. Buckner
Randy L. Buckner Harvard University
Tian Ge
Tian Ge Massachusetts General Hospital
Joshua L. Roffman
Joshua L. Roffman Harvard University
B.T. Thomas Yeo
B.T. Thomas Yeo National University of Singapore
Simon E. Fisher
Simon E. Fisher Max Planck Society
Ingrid Agartz
Ingrid Agartz University of Oslo
Erik G. Jönsson
Erik G. Jönsson University of Oslo
M. Mallar Chakravarty
M. Mallar Chakravarty McGill University
Thomas Espeseth
Thomas Espeseth University of Oslo

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