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Neuroscience

D-Index
66
Citations
24783
World Ranking
2955
National Ranking
1369

David A. Leopold 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 David A. Leopold 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: 242 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

David A. Leopold 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 David A. Leopold 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: 66 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

David A. Leopold is affiliated with the National Institutes of Health in the United States. Their research primarily focuses on neuroscience, with a substantial output in cognitive neuroscience, radiology, nuclear medicine and imaging, cellular and molecular neuroscience, sensory systems, as well as sociology and political science.

Leopold's work covers key topics such as neural dynamics and brain function, functional brain connectivity studies, face recognition and perception, visual perception and processing mechanisms, advanced neuroimaging techniques and applications, advanced MRI techniques and applications, and neuroscience and neuropharmacology research.

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Face Recognition and Perception
  • Visual perception and processing mechanisms
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neuroscience and Neuropharmacology Research

Among recent papers authored or coauthored by Leopold are:

  • "Natural behavior is the language of the brain," 2022, Current Biology
  • "A resource for the detailed 3D mapping of white matter pathways in the marmoset brain," 2020, Nature Neuroscience
  • "Brain Activity Fluctuations Propagate as Waves Traversing the Cortical Hierarchy," 2021, Cerebral Cortex
  • "Studying the visual brain in its natural rhythm," 2020, NeuroImage
  • "Midbrain activity shapes high-level visual properties in the primate temporal cortex," 2020, Neuron

Frequent coauthors in Leopold's publications include:

  • Kenji W. Koyano
  • Frank Q. Ye
  • Elena N. Waidmann
  • Xiao Liu
  • Yifan Yang

Leopold has contributed extensively to journals such as bioRxiv (Cold Spring Harbor Laboratory), Current Biology, Proceedings of the National Academy of Sciences, NeuroImage, and Neuron.

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Current Biology
  • Proceedings of the National Academy of Sciences
  • NeuroImage
  • Neuron

In addition to journal publications, Leopold has at least one book publication titled The Cambridge Handbook of the Capability Approach published by Cambridge University Press in 2020.

Best Publications

  • Dynamic functional connectivity: Promise, issues, and interpretations

    R. Matthew Hutchison;Thilo Womelsdorf;Elena A. Allen;Elena A. Allen;Peter A. Bandettini

  • Multistable phenomena: changing views in perception

    David A. Leopold;Nikos K. Logothetis

  • Activity-Changes in Early Visual Cortex Reflect Monkeys' Percepts During Binocular Rivalry.

    David A. Leopold;Nikos K. Logothetis

  • Prototype-referenced shape encoding revealed by high-level aftereffects

    David A. Leopold;Alice J. O'Toole;Thomas Vetter;Volker Blanz

  • Neural basis of global resting-state fMRI activity

    Marieke L. Schölvinck;Alexander Maier;Frank Q. Ye;Jeff H. Duyn

  • Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

    Cibu Thomas;Cibu Thomas;Frank Q. Ye;M. Okan Irfanoglu;Pooja Modi

  • Very Slow Activity Fluctuations in Monkey Visual Cortex: Implications for Functional Brain Imaging

    David A. Leopold;Yusuke Murayama;Nikos K. Logothetis

  • What is rivalling during binocular rivalry

    Nikos K. Logothetis;David A. Leopold;David L. Sheinberg

  • Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest

    Amir Shmuel;David A. Leopold

  • Stable perception of visually ambiguous patterns

    David A. Leopold;Melanie Wilke;Alexander Maier;Nikos K. Logothetis

  • Norm-based face encoding by single neurons in the monkey inferotemporal cortex

    David A Leopold;David A Leopold;Igor V Bondar;Igor V Bondar;Martin A Giese

  • Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation

    Jakob Seidlitz;Jakob Seidlitz;František Váša;Maxwell Shinn;Rafael Romero-Garcia

  • Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography

    Colin Reveley;Anil K. Seth;Carlo Pierpaoli;Afonso C. Silva

  • Layer-Specific Entrainment of Gamma-Band Neural Activity by the Alpha Rhythm in Monkey Visual Cortex

    Eelke Spaak;Mathilde Bonnefond;Alexander Maier;Alexander Maier;David A. Leopold

  • Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages.

    Masaki Fukunaga;Silvina G. Horovitz;Peter van Gelderen;Jacco A. de Zwart

  • Blindsight depends on the lateral geniculate nucleus

    Michael C. Schmid;Sylwia W. Mrowka;Janita Turchi;Richard C. Saunders

  • Marmosets: A Neuroscientific Model of Human Social Behavior

    Cory T. Miller;Winrich A. Freiwald;David A. Leopold;Jude F. Mitchell

  • A Comparative View of Face Perception

    David A. Leopold;Gillian Rhodes

  • Tracking brain arousal fluctuations with fMRI

    Catie Chang;David A. Leopold;Marieke Louise Schölvinck;Hendrik Mandelkow

  • Divergence of fMRI and neural signals in V1 during perceptual suppression in the awake monkey.

    Alexander Maier;Melanie Wilke;Christopher Aura;Charles Zhu

  • Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: implications for functional connectivity at rest

    D Leopold

Frequent Co-Authors

Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Frank Q. Ye
Frank Q. Ye National Institutes of Health
Afonso C. Silva
Afonso C. Silva University of Pittsburgh
Richard C. Saunders
Richard C. Saunders National Institutes of Health
Jakob Seidlitz
Jakob Seidlitz University of Pennsylvania
Okihide Hikosaka
Okihide Hikosaka National Institutes of Health
Richard J. Krauzlis
Richard J. Krauzlis National Institutes of Health
Leslie G. Ungerleider
Leslie G. Ungerleider National Institutes of Health
Jeff H. Duyn
Jeff H. Duyn National Institutes of Health
Winrich A. Freiwald
Winrich A. Freiwald Rockefeller University

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