World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
40
Citations
8190
World Ranking
8016
National Ranking
3445

Gregg H. Recanzone 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 Gregg H. Recanzone 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: 84 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Gregg H. Recanzone 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 Gregg H. Recanzone 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: 40 D-Index — 17th percentile

17% 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

  • 1996 - Fellow of Alfred P. Sloan Foundation

Overview

Gregg H. Recanzone is affiliated with the University of California, Davis in the United States. Their research primarily focuses on neuroscience, specifically within the subfields of cognitive neuroscience, sensory systems, artificial intelligence, social psychology, and biomedical engineering. The main topics addressed in their work include neural dynamics and brain function, hearing loss and rehabilitation, neuroscience and music perception, hearing, cochlea, tinnitus, genetics, neural networks and applications, motor control and adaptation, and action observation and synchronization.

They have contributed scholarly articles to prominent venues including the Journal of Neurophysiology, bioRxiv (Cold Spring Harbor Laboratory), and The Journal of Physiology. Some recent publications include:

  • Functional characterization of the fronto-parietal reaching and grasping network: reversible deactivation of M1 and areas 2, 5, and 7b in awake behaving monkeys, 2022, Journal of Neurophysiology
  • Age-related changes in sound onset and offset intensity coding in auditory cortical fields A1 and CL of rhesus macaques, 2020, Journal of Neurophysiology
  • Decoding of frequency-modulated sweeps by core and belt neurons in the alert macaque auditory cortex, 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • Neural Onset and Offset Responses in Core and Belt Auditory Cortex of Young and Aged Alert Macaque Monkeys, 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • Decoding of frequency-modulated sweeps by core and belt neurons in the alert macaque auditory cortex, 2025, Journal of Neurophysiology

Frequent collaborators include Brian J. Malone, Adam B. Goldring, Dylan F. Cooke, Carlos R. Pineda, and Leah Krubitzer. This suggests active interdisciplinary and team-based research engagements.

Recognized in the scientific community, they received the Fellow of Alfred P. Sloan Foundation award in 1996.

Best Publications

  • Topographic reorganization of the hand representation in cortical area 3b owl monkeys trained in a frequency-discrimination task

    G. H. Recanzone;M. M. Merzenich;W. M. Jenkins;K. A. Grajski

  • Changes in the distributed temporal response properties of SI cortical neurons reflect improvements in performance on a temporally based tactile discrimination task.

    G. H. Recanzone;M. M. Merzenich;C. E. Schreiner

  • Frequency discrimination training engaging a restricted skin surface results in an emergence of a cutaneous response zone in cortical area 3a.

    G. H. Recanzone;M. M. Merzenich;W. M. Jenkins

  • Frequency and intensity response properties of single neurons in the auditory cortex of the behaving macaque monkey.

    Unknown

  • Rapidly induced auditory plasticity: the ventriloquism aftereffect.

    Unknown

  • Neocortical representational dynamics in adult primates: Implications for neuropsychology

    William M. Jenkins;Michael M. Merzenich;Gregg Recanzone

  • Auditory influences on visual temporal rate perception.

    Unknown

  • Progressive improvement in discriminative abilities in adult owl monkeys performing a tactile frequency discrimination task

    G. H. Recanzone;W. M. Jenkins;G. T. Hradek;M. M. Merzenich

  • American Geriatrics Society and National Institute on Aging Bench-to-Bedside Conference: Sensory Impairment and Cognitive Decline in Older Adults.

    Heather E. Whitson;Heather E. Whitson;Alice Cronin-Golomb;Karen J. Cruickshanks;Grover C. Gilmore

  • Responses of MT and MST Neurons to One and Two Moving Objects in the Receptive Field

    G. H. Recanzone;R. H. Wurtz;U. Schwarz

  • Cortical connections of the second somatosensory area and the parietal ventral area in macaque monkeys

    Elizabeth Disbrow;Elizabeth Disbrow;Evangelos Litinas;Gregg H. Recanzone;Jeffrey Padberg

  • Interactions of Auditory and Visual Stimuli in Space and Time

    Gregg H. Recanzone

  • Correlation between the activity of single auditory cortical neurons and sound-localization behavior in the macaque monkey.

    Unknown

  • Expansion of the Cortical Representation of a Specific Skin Field in Primary Somatosensory Cortex by Intracortical Microstimulation

    G. H. Recanzone;M. M. Merzenich;H. R. Dinse

  • Functional organization of spectral receptive fields in the primary auditory cortex of the owl monkey.

    Gregg H. Recanzone;Christoph E. Schreiner;Mitchell L. Sutter;Ralph E. Beitel

  • Effects of stimulus azimuth and intensity on the single-neuron activity in the auditory cortex of the alert macaque monkey.

    Unknown

  • Response profiles of auditory cortical neurons to tones and noise in behaving macaque monkeys

    Unknown

  • Receptive-field changes induced by peripheral nerve stimulation in SI of adult cats.

    G. H. Recanzone;T. T. Allard;W. M. Jenkins;M. M. Merzenich

  • Effects of attention on MT and MST neuronal activity during pursuit initiation.

    Gregg H. Recanzone;Robert H. Wurtz

  • Organization of area 3a in macaque monkeys: contributions to the cortical phenotype.

    Leah Krubitzer;Kelly J. Huffman;Elizabeth Disbrow;Elizabeth Disbrow;Gregg Recanzone

  • Adaptive mechanisms in cortical networks underlying cortical contributions to learning and nondeclarative memory.

    M.M. Merzenich;G.H. Recanzone;W.M. Jenkins;K.A. Grajski

  • Populations of auditory cortical neurons can accurately encode acoustic space across stimulus intensity

    Lee M. Miller;Gregg H. Recanzone

  • Comparison of relative and absolute sound localization ability in humans

    Gregg H. Recanzone;Samia D. D. R. Makhamra;Darren C. Guard

  • Serial and parallel processing in the primate auditory cortex revisited.

    Gregg H. Recanzone;Yale E. Cohen

  • Representation of con-specific vocalizations in the core and belt areas of the auditory cortex in the alert macaque monkey.

    Gregg H Recanzone

  • Topographic Maps within Brodmann's Area 5 of Macaque Monkeys

    Adele M. H. Seelke;Jeffrey J. Padberg;Elizabeth Disbrow;Shawn M. Purnell

Frequent Co-Authors

Leah Krubitzer
Leah Krubitzer University of California, Davis
Scott I. Simon
Scott I. Simon University of California, Davis
Tingrui Pan
Tingrui Pan University of California, Davis
Michael M. Merzenich
Michael M. Merzenich University of California, San Francisco
Luis Concha
Luis Concha National Autonomous University of Mexico
Colin J. Akerman
Colin J. Akerman University of Oxford
Jason P. Gallivan
Jason P. Gallivan Queen's University
Jonathan E. Peelle
Jonathan E. Peelle Washington University in St. Louis
Alice Cronin-Golomb
Alice Cronin-Golomb Boston University
Kristine Yaffe
Kristine Yaffe University of California, San Francisco

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