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Neuroscience
Australia
2023

D-Index & Metrics

Neuroscience

D-Index
93
Citations
37648
World Ranking
974
National Ranking
20

Alex Fornito 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 Alex Fornito 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: 340 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Alex Fornito 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 Alex Fornito 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: 93 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Neuroscience in Australia Leader Award
  • 2022 - Research.com Neuroscience in Australia Leader Award
  • 2018 - Gottschalk Medal, Australian Academy of Science

Overview

Alex Fornito is affiliated with Monash University in Australia and has an extensive research portfolio primarily focused on neuroscience and medicine. Their work spans several subfields, most notably cognitive neuroscience, radiology, nuclear medicine and imaging, molecular biology, psychiatry and mental health, and experimental and cognitive psychology.

Their research topics include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • Bioinformatics and Genomic Networks
  • Transcranial Magnetic Stimulation Studies

Fornito has contributed to several highly cited publications. Recent papers include:

  • "Geometric constraints on human brain function", 2023, published in Nature
  • "Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape", 2021, published in Science Advances
  • "Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem", 2020, published in NeuroImage
  • "Controversies and progress on standardization of large-scale brain network nomenclature", 2023, published in Network Neuroscience
  • "Toward Best Practices for Imaging Transcriptomics of the Human Brain", 2022, published in Biological Psychiatry

The scientist often collaborates with a number of frequent co-authors, including Aurina Arnatkevičiūtė, Mark A. Bellgrove, Jeggan Tiego, Kevin Aquino, and Ben Fulcher.

Fornito's research is commonly published in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • NeuroImage
  • Network Neuroscience
  • Zenodo (CERN European Organization for Nuclear Research)

In 2018, Alex Fornito received the Gottschalk Medal from the Australian Academy of Science.

Best Publications

  • Network-based statistic: Identifying differences in brain networks

    Andrew Zalesky;Alexander Fornito;Alexander Fornito;Edward Bullmore

  • 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

  • Gray matter abnormalities in Major Depressive Disorder: A meta-analysis of voxel based morphometry studies

    Emre Bora;Alex Fornito;Christos Pantelis;Murat Yücel

  • Schizophrenia, neuroimaging and connectomics.

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

  • An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.

    Linden Parkes;Ben D. Fulcher;Murat Yücel;Alex Fornito

  • 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

  • Hierarchical modularity in human brain functional networks.

    David Meunier;Renaud Lambiotte;Alexander Fornito;Alexander Fornito;Karen D Ersche

  • A practical guide to linking brain-wide gene expression and neuroimaging data.

    Aurina Arnatkeviciute;Ben D Fulcher;Alex Fornito

  • Structural brain abnormalities in major depressive disorder: A selective review of recent MRI studies

    Valentina Lorenzetti;Nicholas Brian Allen;Alexander Fornito;Murat Yucel

  • Regional brain abnormalities associated with long-term heavy cannabis use.

    Murat Yucel;Nadia Solowij;Colleen Respondek;Sarah Whittle

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

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

  • Brain networks in schizophrenia

    Martijn P. Van Den Heuvel;Alex Fornito

  • Neuroanatomical abnormalities in schizophrenia: a multimodal voxelwise meta-analysis and meta-regression analysis.

    Emre Bora;Alex Fornito;Joaquim Radua;Mark Walterfang

  • Disrupted Axonal Fiber Connectivity in Schizophrenia

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

  • 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

Frequent Co-Authors

Christos Pantelis
Christos Pantelis University of Melbourne
Murat Yücel
Murat Yücel QIMR Berghofer Medical Research Institute
Stephen J. Wood
Stephen J. Wood University of Melbourne
Andrew Zalesky
Andrew Zalesky University of Melbourne
Ben J. Harrison
Ben J. Harrison University of Melbourne
Edward T. Bullmore
Edward T. Bullmore King's College London
Patrick D. McGorry
Patrick D. McGorry University of Melbourne
Dan I. Lubman
Dan I. Lubman Monash University
Dennis Velakoulis
Dennis Velakoulis University of Melbourne
Valentina Lorenzetti
Valentina Lorenzetti Australian Catholic University

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