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Richard Mooney

D-Index & Metrics

Neuroscience

D-Index
66
Citations
12705
World Ranking
3046
National Ranking
1411

Richard Mooney 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 Richard Mooney 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: 184 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Richard Mooney 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 Richard Mooney 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.

Research.com Recognitions

  • 2020 - Fellow of the American Academy of Arts and Sciences
  • 2010 - ACM Fellow For contributions to machine learning and natural language processing
  • 1997 - Fellow of Alfred P. Sloan Foundation

Overview

Richard Mooney is affiliated with Duke University in the United States. Their research spans several interconnected fields with a primary focus on animal vocal communication, behavior, and the neurobiological underpinnings of learned and innate vocalizations.

The main areas of study for this scientist include:

  • Biochemistry, Genetics and Molecular Biology
  • Agricultural and Biological Sciences

Within these broader fields, the subfields of notable interest are:

  • Developmental Biology
  • Ecology, Evolution, Behavior and Systematics
  • Social Psychology
  • Ecology
  • Cognitive Neuroscience

The research topics covered reflect a concentration on animal behavior and neural functions:

  • Animal Vocal Communication and Behavior
  • Animal Behavior and Reproduction
  • Marine animal studies overview
  • Neuroendocrine regulation and behavior
  • Bat Biology and Ecology Studies
  • Olfactory and Sensory Function Studies
  • Neural dynamics and brain function

Richard Mooney has contributed papers to various distinguished journals and repositories. The frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Research Data Repository, Duke University
  • eLife
  • Nature
  • Current Opinion in Neurobiology

Recent notable papers are:

  • Low-dimensional learned feature spaces quantify individual and group differences in vocal repertoires, 2021, eLife
  • Circuit and synaptic organization of forebrain-to-midbrain pathways that promote and suppress vocalization, 2020, eLife
  • The neurobiology of innate and learned vocalizations in rodents and songbirds, 2020, Current Opinion in Neurobiology
  • Neural dynamics underlying birdsong practice and performance, 2021, Nature
  • A neural hub for holistic courtship displays, 2023, Current Biology

In collaboration, Richard Mooney frequently works with several co-authors including:

  • John Pearson
  • Jack Goffinet
  • Valerie Michael
  • Jordan Hatfield
  • Fabiola Duarte

Throughout their career, Richard Mooney has received several recognitions and awards:

  • Fellow of the American Academy of Arts and Sciences, 2020
  • ACM Fellow for contributions to machine learning and natural language processing, 2010
  • Fellow of Alfred P. Sloan Foundation, 1997

Best Publications

  • A synaptic and circuit basis for corollary discharge in the auditory cortex

    David M. Schneider;Anders Nelson;Richard Mooney

  • Precise auditory–vocal mirroring in neurons for learned vocal communication

    J. F. Prather;S. Peters;S. Nowicki;R. Mooney

  • Rapid spine stabilization and synaptic enhancement at the onset of behavioural learning

    Todd F. Roberts;Katherine A. Tschida;Marguerita E. Klein;Richard Mooney

  • Different Subthreshold Mechanisms Underlie Song Selectivity in Identified HVc Neurons of the Zebra Finch

    Richard Mooney

  • Thalamic Relay of Spontaneous Retinal Activity Prior to Vision

    Richard Mooney;Anna A Penn;Roberto Gallego;Carla J Shatz

  • Synaptic basis for developmental plasticity in a birdsong nucleus

    Richard Mooney

  • A cortical filter that learns to suppress the acoustic consequences of movement.

    David M. Schneider;David M. Schneider;Janani Sundararajan;Richard Mooney

  • Neural mechanisms for learned birdsong.

    Richard Mooney

  • The HVC microcircuit: The synaptic basis for interactions between song motor and vocal plasticity pathways

    Richard Mooney;Jonathan F Prather

  • Long-Range Inhibition Within the Zebra Finch Song Nucleus RA Can Coordinate the Firing of Multiple Projection Neurons

    John E. Spiro;Matthew B. Dalva;Richard Mooney

  • Two distinct inputs to an avian song nucleus activate different glutamate receptor subtypes on individual neurons.

    Richard Mooney;Masakazu Konishi

  • A Circuit for Motor Cortical Modulation of Auditory Cortical Activity

    Anders Nelson;David M. Schneider;Jun Takatoh;Katsuyasu Sakurai

  • Structure-function relationships in rat medullary and cervical dorsal horns. I. Trigeminal primary afferents.

    M. F. Jacquin;W. E. Renehan;R. D. Mooney;R. W. Rhoades

  • The Basal Forebrain and Motor Cortex Provide Convergent yet Distinct Movement-Related Inputs to the Auditory Cortex

    Anders Nelson;Richard Mooney

  • Motor circuits are required to encode a sensory model for imitative learning

    Todd F Roberts;Sharon M H Gobes;Sharon M H Gobes;Malavika Murugan;Bence P Ölveczky

  • In vivo vomeronasal stimulation reveals sensory encoding of conspecific and allospecific cues by the mouse accessory olfactory bulb

    Yoram Ben-Shaul;Lawrence C. Katz;Richard Mooney;Catherine Dulac

  • A Synaptic Basis for Auditory–Vocal Integration in the Songbird

    Eric E. Bauer;Eric E. Bauer;Melissa J. Coleman;Melissa J. Coleman;Todd F. Roberts;Arani Roy

  • A Specialized Neural Circuit Gates Social Vocalizations in the Mouse.

    Katherine Tschida;Valerie Michael;Jun Takatoh;Bao-Xia Han

  • Neurobiology of song learning

    Richard Mooney

  • Neural correlates of categorical perception in learned vocal communication

    Jonathan F Prather;Stephen Nowicki;Rindy C Anderson;Susan Peters

  • Synaptic transformations underlying highly selective auditory representations of learned birdsong.

    Melissa J. Coleman;Richard Mooney

Frequent Co-Authors

Fan Wang
Fan Wang MIT
Bruce R. Donald
Bruce R. Donald Duke University
Stephen Nowicki
Stephen Nowicki Duke University
J. Martin Wild
J. Martin Wild University of Auckland
David J. Perkel
David J. Perkel University of Washington
Yulong Li
Yulong Li Peking University
Eliot A. Brenowitz
Eliot A. Brenowitz University of Washington
Vann Bennett
Vann Bennett Duke University
Benjamin R. Arenkiel
Benjamin R. Arenkiel Baylor College of Medicine
Michael D. Ehlers
Michael D. Ehlers MPM BioImpact

External Links

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