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D-Index & Metrics

Neuroscience

D-Index
84
Citations
32830
World Ranking
1373
National Ranking
29

Andrew Zalesky 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 Andrew Zalesky 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: 266 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Andrew Zalesky 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 Andrew Zalesky 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: 84 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Overview

Andrew Zalesky is affiliated with the University of Melbourne in Australia. Their research contributions primarily focus on neuroscience and medicine, encompassing a range of subfields and topics within these disciplines.

Their main fields of study include:

  • Neuroscience
  • Medicine

Zalesky's work extends into several subfields, such as:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Experimental and Cognitive Psychology
  • Neurology
  • Clinical Psychology

The research topics they have explored include:

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

Frequent publication venues for Zalesky's research are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Biological Psychiatry
  • Schizophrenia Bulletin
  • Human Brain Mapping

Some notable recent papers authored by or involving Andrew Zalesky include:

  • Topographic organization of the human subcortex unveiled with functional connectivity gradients, 2020, Nature Neuroscience
  • Heterogeneous aging across multiple organ systems and prediction of chronic disease and mortality, 2023, Nature Medicine
  • Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression, 2020, Biological Psychiatry
  • Functional Magnetic Resonance Imaging-Guided Personalization of Transcranial Magnetic Stimulation Treatment for Depression, 2020, JAMA Psychiatry
  • Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease, 2021, Nature Human Behaviour

Zalesky has collaborated frequently with several co-authors, including:

  • Ye Tian
  • Maria A. Di Biase
  • Robin Cash
  • Caio Seguin
  • Vanessa Cropley

Best Publications

  • Network-based statistic: Identifying differences in brain networks

    Andrew Zalesky;Alexander Fornito;Alexander Fornito;Edward Bullmore

  • Brain charts for the human lifespan

    Unknown

  • The connectomics of brain disorders

    Alex Fornito;Andrew Zalesky;Michael Breakspear

  • Whole-brain anatomical networks: does the choice of nodes matter?

    Andrew Zalesky;Alexander Fornito;Alexander Fornito;Ian H Harding;Luca Cocchi

  • Fundamentals of Brain Network Analysis

    Alex Fornito;Andrew Zalesky;Edward T Bullmore

  • Schizophrenia, neuroimaging and connectomics.

    Alex Fornito;Andrew Zalesky;Christos Pantelis;Edward T. Bullmore;Edward T. Bullmore

  • Graph analysis of the human connectome: promise, progress, and pitfalls.

    Alex Fornito;Andrew Zalesky;Michael Breakspear

  • Time-resolved resting-state brain networks

    Andrew Zalesky;Alex Fornito;Alex Fornito;Luca Cocchi;Leonardo L. Gollo

  • Criticality in the brain: A synthesis of neurobiology, models and cognition.

    Luca Cocchi;Leonardo L. Gollo;Andrew Zalesky;Michael Breakspear

  • Topographic organization of the human subcortex unveiled with functional connectivity gradients

    Ye Tian;Daniel S Margulies;Michael Breakspear;Andrew Zalesky

  • Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

    S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov

  • Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection

    Alex Fornito;Ben J. Harrison;Andrew Zalesky;Jon S. Simons

  • Disrupted Axonal Fiber Connectivity in Schizophrenia

    Andrew Zalesky;Alex Fornito;Alex Fornito;Marc L Seal;Luca Cocchi

  • Proportional thresholding in resting-state fMRI functional connectivity networks and consequences for patient-control connectome studies: Issues and recommendations

    Martijn P. van den Heuvel;Siemon C. de Lange;Andrew Zalesky;Caio Seguin

  • Dynamic cooperation and competition between brain systems during cognitive control

    Luca Cocchi;Andrew Zalesky;Alex Fornito;Jason B. Mattingley

  • On the use of correlation as a measure of network connectivity

    Andrew Zalesky;Alex Fornito;Edward T Bullmore;Edward T Bullmore

  • Network scaling effects in graph analytic studies of human resting-state fMRI data

    Alexander Fornito;Alexander Fornito;Andrew Zalesky;Edward Bullmore

  • Effect of long-term cannabis use on axonal fibre connectivity

    Andrew Zalesky;Nadia Solowij;Murat Yucel;Dan I Lubman

  • Genetic Influences on Cost-Efficient Organization of Human Cortical Functional Networks

    Alex Fornito;Andrew Zalesky;Danielle S Bassett;David Meunier

  • Using Brain Imaging to Improve Spatial Targeting of Transcranial Magnetic Stimulation for Depression.

    Robin F.H. Cash;Anne Weigand;Andrew Zalesky;Shan H. Siddiqi

  • General and specific functional connectivity disturbances in first-episode schizophrenia during cognitive control performance.

    Alex Fornito;Alex Fornito;Jong H Yoon;Andrew Zalesky;Edward Bullmore;Edward Bullmore

  • Connectome sensitivity or specificity: which is more important?

    Andrew Zalesky;Alex Fornito;Luca Cocchi;Leonardo L. Gollo

Frequent Co-Authors

Christos Pantelis
Christos Pantelis University of Melbourne
Luca Cocchi
Luca Cocchi University of Queensland
Alex Fornito
Alex Fornito Monash University
Vanessa Cropley
Vanessa Cropley University of Melbourne
Moshe Zukerman
Moshe Zukerman City University of Hong Kong
Cynthia Shannon Weickert
Cynthia Shannon Weickert University of New South Wales
Thomas W. Weickert
Thomas W. Weickert SUNY Upstate Medical University
Michael Breakspear
Michael Breakspear University of Newcastle Australia
Hai L. Vu
Hai L. Vu Monash University
Rhoshel K. Lenroot
Rhoshel K. Lenroot University of New South Wales

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