World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
91
Citations
36615
World Ranking
1059
National Ranking
555

Beatriz Luna 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 Beatriz Luna 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: 255 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Beatriz Luna 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 Beatriz Luna 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: 91 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Overview

Beatriz Luna is affiliated with the University of Pittsburgh in the United States. Their research primarily spans the fields of neuroscience and medicine, with significant contributions to cognitive neuroscience, radiology, nuclear medicine and imaging, cellular and molecular neuroscience, psychiatry and mental health, as well as experimental and cognitive psychology.

The scientist's main research topics include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced MRI Techniques and Applications
  • Neuroscience and Neuropharmacology Research
  • Neural and Behavioral Psychology Studies
  • Attention Deficit Hyperactivity Disorder

Frequent publication venues for their work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Developmental Cognitive Neuroscience
  • Zenodo (CERN European Organization for Nuclear Research)
  • Biological Psychiatry
  • Nature

Some of the recent papers authored or co-authored by Beatriz Luna include:

  • "Reproducible brain-wide association studies require thousands of individuals," 2022, Nature
  • "QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data," 2021, Nature Methods
  • "Towards Reproducible Brain-Wide Association Studies," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Inter-individual variability in structural brain development from late childhood to young adulthood," 2021, NeuroImage
  • "Consortium neuroscience of attention deficit/hyperactivity disorder and autism spectrum disorder: The ENIGMA adventure," 2020, Human Brain Mapping

Collaborations feature prominently in their research, with frequent co-authors including:

  • Finnegan J. Calabro
  • Will Foran
  • Ashley C. Parr
  • Brenden Tervo-Clemmens
  • William Foran

Best Publications

  • The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

    A Di Martino;C-G Yan;Q Li;E Denio

  • Reproducible brain-wide association studies require thousands of individuals

    Unknown

  • Maturation of Cognitive Processes From Late Childhood to Adulthood

    Beatriz Luna;Krista E. Garver;Trinity A. Urban;Nicole A. Lazar

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

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

  • What has fMRI told us about the development of cognitive control through adolescence

    Beatriz Luna;Aarthi Padmanabhan;Kirsten O’Hearn

  • Maturation of widely distributed brain function subserves cognitive development.

    Beatriz Luna;Keith R. Thulborn;Douglas P. Munoz;Elisha P. Merriam

  • The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity.

    Michael N. Hallquist;Kai Hwang;Beatriz Luna

  • Adolescence as a neurobiological critical period for the development of higher-order cognition.

    Bart Larsen;Beatriz Luna

  • Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

    Adriana Di Martino;David O'Connor;David O'Connor;Bosi Chen;Kaat Alaerts

  • The Emergence of Collaborative Brain Function: fMRI Studies of the Development of Response Inhibition

    Beatriz Luna;John A. Sweeney

  • White Matter Development in Adolescence: A DTI Study

    M. R. Asato;R. Terwilliger;J. Woo;B. Luna

  • An Integrative Model of the Maturation of Cognitive Control

    Beatriz Luna;Scott Marek;Bart Larsen;Brenden Tervo-Clemmens

  • Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data.

    Damien A. Fair;Joel T. Nigg;Swathi Iyer;Deepti Bathula;Deepti Bathula

  • Developmental Stages and Sex Differences of White Matter and Behavioral Development through Adolescence: A Longitudinal Diffusion Tensor Imaging (DTI) Study

    Daniel J. Simmonds;Michael N. Hallquist;Miya Asato;Beatriz Luna

  • Immaturities in Reward Processing and Its Influence on Inhibitory Control in Adolescence

    C.F. Geier;R. Terwilliger;T. Teslovich;K. Velanova

  • Neocortical system abnormalities in autism: An fMRI study of spatial working memory

    B. Luna;N. J. Minshew;K. E. Garver;N. A. Lazar

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

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

  • Developmental changes in cognitive control through adolescence.

    Beatriz Luna

  • Visual category-selectivity for faces, places and objects emerges along different developmental trajectories.

    K. Suzanne Scherf;Marlene Behrmann;Kate Humphreys;Beatriz Luna

  • Maturation of Executive Function in Autism

    Beatriz Luna;Sara K. Doll;Stephen J. Hegedus;Nancy J. Minshew

  • Dorsal cortical regions subserving visually guided saccades in humans: an fMRI study.

    Beatriz Luna;Keith R. Thulborn;Magdalena H. Strojwas;Benjamin J. McCurtain

Frequent Co-Authors

John A. Sweeney
John A. Sweeney University of Cincinnati
Maria Jalbrzikowski
Maria Jalbrzikowski Boston Children's Hospital
Damien A. Fair
Damien A. Fair University of Minnesota
Michael N. Hallquist
Michael N. Hallquist Pennsylvania State University
Marlene Behrmann
Marlene Behrmann Carnegie Mellon University
Adolf Pfefferbaum
Adolf Pfefferbaum Stanford University
Bonnie J. Nagel
Bonnie J. Nagel Oregon Health & Science University
Heidi M. Feldman
Heidi M. Feldman Stanford University
Deanna M. Barch
Deanna M. Barch Washington University in St. Louis
Terry L. Jernigan
Terry L. Jernigan University of California, San Diego

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