World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
100
Citations
62592
World Ranking
743
National Ranking
414

Angela R. Laird 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 Angela R. Laird 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: 265 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.

Angela R. Laird 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 Angela R. Laird 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: 100 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Angela R. Laird is affiliated with Florida International University in the United States. Their research primarily spans fields such as Neuroscience, Medicine, and Psychology, with particular focus on subfields including Cognitive Neuroscience, Experimental and Cognitive Psychology, Radiology, Nuclear Medicine and Imaging, Clinical Psychology, and Psychiatry and Mental Health.

Their work covers a range of topics related to brain function and development. Main research themes include Functional Brain Connectivity Studies, Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Mental Health Research Topics, Neural and Behavioral Psychology Studies, Child and Adolescent Psychosocial and Emotional Development, and Neurobiology of Language and Bilingualism.

Among their recent papers are:

  • Multiple large-scale neural networks underlying emotion regulation, 2020, Neuroscience & Biobehavioral Reviews
  • TE-dependent analysis of multi-echo fMRI with tedana, 2021, The Journal of Open Source Software
  • Correspondence Between Perceived Pubertal Development and Hormone Levels in 9-10 Year-Olds From the Adolescent Brain Cognitive Development Study, 2021, Frontiers in Endocrinology
  • Controversies and progress on standardization of large-scale brain network nomenclature, 2023, Network Neuroscience
  • Large, open datasets for human connectomics research: Considerations for reproducible and responsible data use, 2021, NeuroImage

Angela R. Laird has collaborated frequently with a number of researchers. Most frequent co-authors include:

  • Taylor Salo
  • Matthew T. Sutherland
  • Katherine L. Bottenhorn
  • Michael C. Riedel
  • Julio A. Peraza

Their work is published predominantly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Neuroscience & Biobehavioral Reviews, Imaging Neuroscience, Zenodo (CERN European Organization for Nuclear Research), and Developmental Cognitive Neuroscience.

Best Publications

  • Correspondence of the brain's functional architecture during activation and rest.

    Stephen M. Smith;Peter T. Fox;Karla L. Miller;David C. Glahn

  • N-back working memory paradigm: A meta-analysis of normative functional neuroimaging studies

    Adrian M. Owen;Kathryn M. McMillan;Angela R. Laird;Ed Bullmore

  • The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

    Lingzhong Fan;Hai Li;Junjie Zhuo;Yu Zhang

  • Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty

    Simon B. Eickhoff;Angela R. Laird;Christian Grefkes;Ling E. Wang

  • Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions

    Tara A. Niendam;Angela R. Laird;Kimberly L. Ray;Y. Monica Dean

  • ALE meta-analysis of action observation and imitation in the human brain.

    Svenja Caspers;Karl Zilles;Karl Zilles;Angela R. Laird;Simon B. Eickhoff;Simon B. Eickhoff

  • Activation likelihood estimation meta-analysis revisited.

    Simon B. Eickhoff;Danilo Bzdok;Danilo Bzdok;Angela R. Laird;Florian Kurth

  • A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis.

    Florian Kurth;Karl Zilles;Peter T. Fox;Angela R. Laird

  • Meta-analysis of 41 Functional Neuroimaging Studies of Executive Function in Schizophrenia

    Michael J. Minzenberg;Angela R. Laird;Sarah Thelen;Cameron S. Carter

  • Integrating evidence from neuroimaging and neuropsychological studies of obsessive-compulsive disorder: The orbitofronto-striatal model revisited

    Lara Menzies;Samuel R. Chamberlain;Angela R. Laird;Sarah M. Thelen

  • Minimizing Within-Experiment and Within-Group Effects in Activation Likelihood Estimation Meta-Analyses

    Peter E. Turkeltaub;Simon B. Eickhoff;Simon B. Eickhoff;Angela R. Laird;Mick Fox

  • Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

    Donald J. Hagler;Sean N. Hatton;M. Daniela Cornejo;Carolina Makowski

  • Behavioral interpretations of intrinsic connectivity networks

    Angela R. Laird;P. Mickle Fox;Simon B. Eickhoff;Jessica A. Turner

  • Variability in the analysis of a single neuroimaging dataset by many teams

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • A meta-analytic study of changes in brain activation in depression.

    Paul B. Fitzgerald;Angela R. Laird;Jerome Maller;Zafiris J. Daskalakis

  • Modelling neural correlates of working memory: a coordinate-based meta-analysis.

    Claudia Rottschy;Robert Langner;Robert Langner;Imis Dogan;Kathrin Reetz;Kathrin Reetz

  • Neural network of cognitive emotion regulation--an ALE meta-analysis and MACM analysis.

    Nils Kohn;Simon B. Eickhoff;M. Scheller;Angela R. Laird

  • ALE meta-analysis: Controlling the false discovery rate and performing statistical contrasts

    Angela R. Laird;P. Mickle Fox;Cathy J. Price;David C. Glahn

  • Ten simple rules for neuroimaging meta-analysis.

    Veronika I. Müller;Edna C. Cieslik;Angela R. Laird;Peter T. Fox

  • Beyond hypofrontality: A quantitative meta-analysis of functional neuroimaging studies of working memory in schizophrenia

    David C. Glahn;J. Daniel Ragland;Adir Abramoff;Jennifer Barrett

  • Meta-analysis of gray matter anomalies in schizophrenia: application of anatomic likelihood estimation and network analysis.

    David C. Glahn;Angela R. Laird;Ian Ellison-Wright;Sarah M. Thelen

Frequent Co-Authors

Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Peter T. Fox
Peter T. Fox The University of Texas Health Science Center at San Antonio
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Robert Langner
Robert Langner Heinrich Heine University Düsseldorf
David C. Glahn
David C. Glahn Boston Children's Hospital
Karl Zilles
Karl Zilles Forschungszentrum Jülich
Felix Hoffstaedter
Felix Hoffstaedter Forschungszentrum Jülich
Jack L. Lancaster
Jack L. Lancaster The University of Texas Health Science Center at San Antonio
Katrin Amunts
Katrin Amunts Forschungszentrum Jülich
Svenja Caspers
Svenja Caspers Heinrich Heine University Düsseldorf

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