World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
62
Citations
12192
World Ranking
3564
National Ranking
318

Uta Noppeney 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 Uta Noppeney 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: 209 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Uta Noppeney 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 Uta Noppeney 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: 62 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Uta Noppeney is affiliated with the University of Birmingham in the United Kingdom. Their research primarily focuses on areas within neuroscience and psychology, with a significant emphasis on cognitive neuroscience and experimental and cognitive psychology.

Their prominent research topics encompass multisensory perception and integration, olfactory and sensory function studies, visual perception and processing mechanisms, neural dynamics and brain function, EEG and brain-computer interfaces, color perception and design, and neuroscience and music perception.

Frequent collaborators include Samuel A. Jones, Rodika Sokoliuk, Giulio Degano, Lucía Melloni, and Damian Cruse. This network reflects interdisciplinary approaches in exploring sensory and cognitive processes.

Uta Noppeney has published extensively in several venues, with repeated contributions to bioRxiv (Cold Spring Harbor Laboratory), PLoS Biology, eLife, Journal of Vision, and Journal of Cognitive Neuroscience. They have contributed notably to the following papers:

  • Perceptual Inference, Learning, and Attention in a Multisensory World, 2021, Annual Review of Neuroscience
  • Resolving multisensory and attentional influences across cortical depth in sensory cortices, 2020, eLife
  • The role of alpha oscillations in temporal binding within and across the senses, 2022, Nature Human Behaviour
  • Covert Speech Comprehension Predicts Recovery From Acute Unresponsive States, 2020, Annals of Neurology
  • Ageing and multisensory integration: A review of the evidence, and a computational perspective, 2021, Cortex

The scholar's interdisciplinary research bridges neural mechanisms underlying sensory integration with cognitive processes such as attention and learning. Their work on perceptual inference and multisensory attention contributes to understanding how the brain combines information from different sensory modalities.

Studies on ageing and multisensory integration highlight computational perspectives and evidence relevant to age-related changes in sensory processing. The exploration of neural oscillations further informs temporal binding mechanisms within and across sensory systems.

Their research output encompasses both theoretical and applied dimensions of neuroscience, incorporating behavioral and electrophysiological methodologies to investigate sensory and cognitive functions.

Best Publications

  • Neurolinguistics: structural plasticity in the bilingual brain.

    Andrea Mechelli;Jenny T. Crinion;Uta Noppeney;John O'Doherty

  • Language Control in the Bilingual Brain

    J. Crinion;Robert Turner;A. Grogan;T. Hanakawa

  • Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study

    H. W. Robert Powell;Geoffrey J. M. Parker;Daniel C. Alexander;Mark R. Symms

  • Cortical hierarchies perform Bayesian causal inference in multisensory perception.

    Tim Rohe;Uta Noppeney

  • Retrieval of abstract semantics

    Uta Noppeney;Cathy J Price

  • Anterior temporal cortex and semantic memory : Reconciling findings from neuropsychology and functional imaging

    Timothy T. Rogers;Julia Hocking;Uta Noppeney;Andrea Mechelli

  • Two Distinct Neural Mechanisms for Category-selective Responses

    Uta Noppeney;Cathy J. Price;Will D. Penny;Karl J. Friston

  • Distinct Functional Contributions of Primary Sensory and Association Areas to Audiovisual Integration in Object Categorization

    Sebastian Werner;Uta Noppeney

  • Early visual deprivation induces structural plasticity in gray and white matter

    Uta Noppeney;Karl J. Friston;John Ashburner;Richard Frackowiak

  • Superadditive Responses in Superior Temporal Sulcus Predict Audiovisual Benefits in Object Categorization

    Sebastian Werner;Uta Noppeney

  • Temporal lobe lesions and semantic impairment: a comparison of herpes simplex virus encephalitis and semantic dementia

    Uta Noppeney;Karalyn Patterson;Lorraine K. Tyler;Helen Moss

  • Long-term music training tunes how the brain temporally binds signals from multiple senses

    HweeLing Lee;Uta Noppeney

  • Audiovisual Synchrony Improves Motion Discrimination via Enhanced Connectivity between Early Visual and Auditory Areas

    Richard Lewis;Uta Noppeney

  • The Effect of Prior Visual Information on Recognition of Speech and Sounds

    Uta Noppeney;Oliver Josephs;Julia Hocking;Cathy J. Price

  • A Dynamic Causal Modeling Study on Category Effects: Bottom–Up or Top–Down Mediation?

    Andrea Mechelli;Cathy J. Price;Uta Noppeney;Karl J. Friston

  • Anatomic constraints on cognitive theories of category specificity

    Joseph T. Devlin;C. J. Moore;C. J. Moore;C. J. Mummery;Maria Luisa Gorno-Tempini

  • An fMRI Study of Syntactic Adaptation

    U. Noppeney;C. J. Price

  • Retrieval of Visual, Auditory, and Abstract Semantics

    Uta Noppeney;Cathy J. Price

  • The effects of visual deprivation on functional and structural organization of the human brain.

    Uta Noppeney

  • The neural dynamics of hierarchical Bayesian causal inference in multisensory perception.

    Tim Rohe;Ann-Christine Ehlis;Uta Noppeney

  • Degenerate neuronal systems sustaining cognitive functions

    Uta Noppeney;Karl J. Friston;Cathy J. Price

Frequent Co-Authors

Cathy J. Price
Cathy J. Price University College London
Karl J. Friston
Karl J. Friston University College London
Axel Thielscher
Axel Thielscher Technical University of Denmark
Robert Turner
Robert Turner Max Planck Society
Pierre-Louis Bazin
Pierre-Louis Bazin University of Amsterdam
Oliver Stegle
Oliver Stegle German Cancer Research Center
Joseph T. Devlin
Joseph T. Devlin University College London
Heinrich H. Bülthoff
Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics
Martin A. Giese
Martin A. Giese University of Tübingen
Glyn W. Humphreys
Glyn W. Humphreys University of Oxford

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