World's Best Scientists 2026 revealed!
Virginia B. Penhune

Virginia B. Penhune

D-Index & Metrics

Neuroscience

D-Index
53
Citations
18251
World Ranking
5012
National Ranking
291

Virginia B. Penhune 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 Virginia B. Penhune 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: 109 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Virginia B. Penhune 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 Virginia B. Penhune 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: 53 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Virginia B. Penhune is affiliated with Concordia University in Canada and has contributed extensively to the field of neuroscience, particularly focusing on cognitive neuroscience and music-related research. Their work spans multiple intersecting areas such as music perception, neural dynamics, and auditory-motor brain pathways.

The scientist's research topics include:

  • Neuroscience and Music Perception
  • Diverse Music Education Insights
  • Neural dynamics and brain function
  • Music and Audio Processing
  • Hearing Loss and Rehabilitation
  • EEG and Brain-Computer Interfaces
  • Music Technology and Sound Studies

Key publication venues where Penhune frequently publishes include:

  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • Brain Structure and Function
  • PLoS ONE

Coauthors who regularly collaborate with Penhune are:

  • Tomas E. Matthews
  • Robert J. Zatorre
  • Maria A. G. Witek
  • Peter Vuust
  • Christopher J. Steele

Selected recent papers authored or coauthored by Penhune include:

  • "The sensation of groove engages motor and reward networks," 2020, NeuroImage
  • "Perceived Motor Synchrony With the Beat is More Strongly Related to Groove Than Measured Synchrony," 2022, Music Perception An Interdisciplinary Journal
  • "Arcuate fasciculus architecture is associated with individual differences in pre-attentive detection of unpredicted music changes," 2021, NeuroImage
  • "What you learn & when you learn it: Impact of early bilingual & music experience on the structural characteristics of auditory-motor pathways," 2020, NeuroImage
  • "A gene-maturation-environment model for understanding sensitive period effects in musical training," 2020, Current Opinion in Behavioral Sciences

Their main fields of study are broadly categorized under Neuroscience, with specific subfields in Cognitive Neuroscience, Music, Signal Processing, Social Psychology, and Computer Vision and Pattern Recognition. This interdisciplinary approach reflects a focus on how the brain processes music and related auditory experiences.

Through the integration of neuroscience and music education, Penhune's work addresses how neural structures and functions contribute to music perception, synchronization to rhythm, and auditory-motor learning mechanisms. The recurring collaboration with other experts in the field underscores a networked research approach that combines expertise in brain imaging, signal processing, and psychology.

Best Publications

  • When the brain plays music: auditory–motor interactions in music perception and production

    Robert J. Zatorre;Joyce L. Chen;Virginia B. Penhune

  • Structure and function of auditory cortex: music and speech

    Robert J. Zatorre;Pascal Belin;Virginia B. Penhune

  • Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning

    Julien Doyon;Julien Doyon;Virginia Penhune;Leslie G Ungerleider

  • Listening to Musical Rhythms Recruits Motor Regions of the Brain

    Joyce L. Chen;Virginia B. Penhune;Robert J. Zatorre

  • Contributions of the basal ganglia and functionally related brain structures to motor learning.

    Julien Doyon;Pierre Bellec;Rhonda Amsel;Virginia Penhune

  • Interhemispheric Anatomical Differences in Human Primary Auditory Cortex: Probabilistic Mapping and Volume Measurement from Magnetic Resonance Scans

    V. B. Penhune;R. J. Zatorre;J. D. MacDonald;A. C. Evans

  • Moving on time: Brain network for auditory-motor synchronization is modulated by rhythm complexity and musical training

    Joyce L. Chen;Virginia B. Penhune;Robert J. Zatorre

  • Functional specificity in the right human auditory cortex for perceiving pitch direction.

    Ingrid S. Johnsrude;Virginia B. Penhune;Robert J. Zatorre

  • Cerebellar Contributions to Motor Timing: A PET Study of Auditory and Visual Rhythm Reproduction

    V. B. Penhune;R. J. Zatorre;A. C. Evans

  • Early Musical Training and White-Matter Plasticity in the Corpus Callosum: Evidence for a Sensitive Period

    Christopher J. Steele;Christopher J. Steele;Jennifer A. Bailey;Robert J. Zatorre;Virginia B. Penhune

  • Congenital Amusia: A Disorder of Fine-Grained Pitch Discrimination

    Isabelle Peretz;Julie Ayotte;Julie Ayotte;Robert J. Zatorre;Jacques Mehler

  • Parallel contributions of cerebellar, striatal and M1 mechanisms to motor sequence learning.

    Virginia B. Penhune;Christopher J. Steele

  • Interactions between auditory and dorsal premotor cortex during synchronization to musical rhythms.

    Joyce L. Chen;Robert J. Zatorre;Virginia B. Penhune

  • Asymmetries of the planum temporale and Heschl's gyrus: relationship to language lateralization.

    Raquel Dorsaint-Pierre;Virginia B. Penhune;Kate E. Watkins;Peter Neelin

  • Relating Structure to Function: Heschl's Gyrus and Acoustic Processing

    Catherine Warrier;Patrick Wong;Virginia Penhune;Robert Zatorre

  • Dynamic Cortical and Subcortical Networks in Learning and Delayed Recall of Timed Motor Sequences

    Virginia B. Penhune;Julien Doyon;Julien Doyon

  • Volume of Left Heschl's Gyrus and Linguistic Pitch Learning

    Patrick C.M. Wong;Catherine M. Warrier;Virginia B. Penhune;Virginia B. Penhune;Anil K. Roy

  • The effect of early musical training on adult motor performance: evidence for a sensitive period in motor learning

    Donald Watanabe;Tal Savion-Lemieux;Virginia B. Penhune

  • Spatial localization after excision of human auditory cortex.

    Robert J. Zatorre;Virginia B. Penhune

  • Sensitive periods in human development: Evidence from musical training

    Virginia B. Penhune

  • Congenital Amusia: A Disorder of Case Study Fine-Grained Pitch Discrimination

    Isabelle Peretz;Julie Ayotte;Robert J. Zatorre;Jacques Mehler

Frequent Co-Authors

Robert J. Zatorre
Robert J. Zatorre McGill University
Julien Doyon
Julien Doyon Montreal Neurological Institute and Hospital
Antoni Rodríguez-Fornells
Antoni Rodríguez-Fornells Institució Catalana de Recerca i Estudis Avançats
Isabelle Peretz
Isabelle Peretz University of Montreal
Peter Vuust
Peter Vuust Royal Academy of Music
Alan C. Evans
Alan C. Evans McGill University
Sonja A. Kotz
Sonja A. Kotz Maastricht University
Patrick C. M. Wong
Patrick C. M. Wong Chinese University of Hong Kong
Joel S. Snyder
Joel S. Snyder University of Nevada, Las Vegas
Jacques Mehler
Jacques Mehler International School for Advanced Studies

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