World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
47
Citations
12799
World Ranking
6320
National Ranking
2751

Anu Sharma 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 Anu Sharma 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: 91 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Anu Sharma 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 Anu Sharma 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: 47 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Anu Sharma is a researcher affiliated with the University of Colorado Boulder in the United States. Their work primarily spans the fields of Neuroscience and Health Professions, with notable contributions to Cognitive Neuroscience, Sensory Systems, and Speech and Hearing.

The scientist's research topics focus heavily on hearing loss and rehabilitation, with additional emphasis on hearing, cochlea, tinnitus, and genetics. Other areas of investigation include noise effects and management, multisensory perception and integration, hearing impairment and communication, neuroscience and music perception, as well as tactile and sensory interactions.

Recent publications by Anu Sharma include:

  • Cortical Neuroplasticity and Cognitive Function in Early-Stage, Mild-Moderate Hearing Loss: Evidence of Neurocognitive Benefit From Hearing Aid Use, 2020, Frontiers in Neuroscience
  • Crossmodal plasticity in hearing loss, 2023, Trends in Neurosciences
  • Face mask use in healthcare settings: effects on communication, cognition, listening effort and strategies for amelioration, 2022, Cognitive Research Principles and Implications
  • Neurocognitive outcomes in young adults with cochlear implants: The role of early language access and crossmodal plasticity, 2024, Hearing Research
  • Prioritizing research on over-the-counter (OTC) hearing aids for age-related hearing loss, 2023, Frontiers in Aging

Frequent co-authors collaborating with Sharma include:

  • Kayla Cormier
  • Vinaya Manchaiah
  • De Wet Swanepoel
  • Garrett Cardon
  • Don Bell-Souder

Sharma's work has been published regularly in venues frequently associated with hearing and neuroscience research, including:

  • Audiology Research
  • Brain Sciences
  • Frontiers in Neuroscience
  • The Hearing Journal
  • Trends in Neurosciences

The combination of broad and specific subfields covered by Sharma's research reflects a multidisciplinary approach, integrating experimental and cognitive psychology with developmental and educational psychology aspects relevant to sensory processing and auditory function.

Best Publications

  • Harnessing neuroplasticity for clinical applications

    Steven C. Cramer;Mriganka Sur;Bruce H. Dobkin;Charles J O'Brien

  • A sensitive period for the development of the central auditory system in children with cochlear implants: implications for age of implantation.

    Anu Sharma;Michael F. Dorman;Anthony J. Spahr

  • Developmental neuroplasticity after cochlear implantation.

    Andrej Kral;Anu Sharma

  • The influence of a sensitive period on central auditory development in children with unilateral and bilateral cochlear implants

    Anu Sharma;Michael F. Dorman;Andrej Kral

  • Developmental changes in P1 and N1 central auditory responses elicited by consonant-vowel syllables.

    Anu Sharma;Nina Kraus;Therese J. McGee;Trent G Nicol

  • Cortical development, plasticity and re-organization in children with cochlear implants.

    Anu Sharma;Amy A. Nash;Michael Dorman

  • Deprivation-induced cortical reorganization in children with cochlear implants

    Anu Sharma;Phillip M. Gilley;Michael F. Dorman;Robert Baldwin

  • Central Auditory Development in Children with Cochlear Implants: Clinical Implications

    Anu Sharma;Michael F Dorman

  • Cortical auditory evoked potential correlates of categorical perception of voice-onset time.

    Anu Sharma;Michael F. Dorman

  • Rapid development of cortical auditory evoked potentials after early cochlear implantation.

    Anu Sharma;Michael F. Dorman;Anthony J. Spahr;Anthony J. Spahr

  • Neurophysiologic correlates of cross-language phonetic perception.

    Anu Sharma;Michael F. Dorman

  • Neurophysiologic bases of speech discrimination.

    Nina Kraus;Therese McGee;Thomas D. Carrell;Anu Sharma

  • P1 latency as a biomarker for central auditory development in children with hearing impairment

    Anu Sharma;Kathryn Martin;Peter Roland;Paul Bauer

  • Developmental changes in refractoriness of the cortical auditory evoked potential

    Phillip M. Gilley;Anu Sharma;Michael Dorman;Kathryn Martin

  • 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

  • Minimization of cochlear implant stimulus artifact in cortical auditory evoked potentials

    Phillip M. Gilley;Anu Sharma;Michael Dorman;Charles C. Finley

  • Compensatory changes in cortical resource allocation in adults with hearing loss

    Julia Campbell;Anu Sharma

  • Cortical reorganization in children with cochlear implants

    Phillip M. Gilley;Anu Sharma;Michael F. Dorman

  • Cross-modal Plasticity in Developmental and Age-Related Hearing Loss: Clinical Implications

    Hannah Glick;Anu Sharma

  • Acoustic versus phonetic representation of speech as reflected by the mismatch negativity event-related potential

    A. Sharma;Nina Kraus;T. McGee;T. Carrell

  • Mismatch negativity in school-age children to speech stimuli that are just perceptibly different ☆

    Nina Kraus;Therese McGee;Alan G Micco;Anu Sharma

  • Auditory Evoked Potentials: Basic Principles and Clinical Application

    Anu Sharma

Frequent Co-Authors

Nina Kraus
Nina Kraus Northwestern University
Trent Nicol
Trent Nicol Northwestern University
Bobby Samir Acharya
Bobby Samir Acharya King's College London
Pierre Savard
Pierre Savard University of Toronto
Andrej Kral
Andrej Kral Hannover Medical School
Philipos C. Loizou
Philipos C. Loizou The University of Texas at Dallas
Nasser Kehtarnavaz
Nasser Kehtarnavaz The University of Texas at Dallas
F. S. Merritt
F. S. Merritt University of Chicago

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