World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
50
Citations
11423
World Ranking
5675
National Ranking
461

R. Angus Silver 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 R. Angus Silver 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: 88 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

R. Angus Silver 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 R. Angus Silver 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: 50 D-Index — 41st percentile

41% 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

  • 2019 - Member of Academia Europaea

Overview

R. Angus Silver is a researcher associated with University College London in the United Kingdom. Their research output spans multiple disciplines, with a primary focus on Biochemistry, Genetics and Molecular Biology as well as Neuroscience. Their subfields of expertise include Biophysics, Molecular Biology, Cognitive Neuroscience, Biomedical Engineering, and Cellular and Molecular Neuroscience.

The scientist's work covers a range of main topics including Neural dynamics and brain function, Cell Image Analysis Techniques, Advanced Fluorescence Microscopy Techniques, Gene Regulatory Network Analysis, Photoacoustic and Ultrasonic Imaging, Neuroscience and Neuropharmacology Research, and Vestibular and auditory disorders.

Some of the frequent publication venues for their research include bioRxiv (Cold Spring Harbor Laboratory), eLife, Nature Methods, Nature Neuroscience, and Neurophotonics.

Recent papers by R. Angus Silver include:

  • Real-time 3D movement correction for two-photon imaging in behaving animals (2020, Nature Methods)
  • Cerebellar granule cell axons support high-dimensional representations (2021, Nature Neuroscience)
  • Neurophotonic Tools for Microscopic Measurements and Manipulation: Status Report (2022, Neurophotonics)
  • Multidimensional population activity in an electrically coupled inhibitory circuit in the cerebellar cortex (2021, Neuron)
  • The NeuroML ecosystem for standardized multi-scale modeling in neuroscience (2024, eLife)

Frequent co-authors of this scientist include Harsha Gurnani, Padraig Gleeson, Antoine M. Valera, Bóris Marin, and Sharon Crook, each contributing to multiple collaborative works.

R. Angus Silver has been recognized as a Member of Academia Europaea since 2019.

Best Publications

  • Tonically active GABA A receptors: modulating gain and maintaining the tone.

    Alexey Semyanov;Matthew C. Walker;Dimitri M. Kullmann;R.Angus Silver

  • Shunting Inhibition Modulates Neuronal Gain during Synaptic Excitation

    Simon J. Mitchell;R.Angus Silver

  • Synaptic connections between layer 4 spiny neurone‐ layer 2/3 pyramidal cell pairs in juvenile rat barrel cortex: physiology and anatomy of interlaminar signalling within a cortical column

    Dirk Feldmeyer;Joachim H. R. Lübke;R. Angus Silver;Bert Sakmann

  • Neuronal arithmetic

    Unknown

  • NeuroML: a language for describing data driven models of neurons and networks with a high degree of biological detail.

    Padraig Gleeson;Sharon M. Crook;Robert C Cannon;Michael L Hines

  • High-probability uniquantal transmission at excitatory synapses in barrel cortex.

    R. Angus Silver;Joachim H. R. Lübke;Bert Sakmann;Dirk Feldmeyer

  • Glutamate spillover suppresses inhibition by activating presynaptic mGluRs.

    Simon J. Mitchell;R. Angus Silver

  • Fast vesicle reloading and a large pool sustain high bandwidth transmission at a central synapse

    Chiara Saviane;R. Angus Silver

  • Unveiling synaptic plasticity: a new graphical and analytical approach.

    John D. Clements;R.Angus Silver

  • Modulation of Glutamate Mobility Reveals the Mechanism Underlying Slow-Rising AMPAR EPSCs and the Diffusion Coefficient in the Synaptic Cleft

    Thomas A. Nielsen;David A. DiGregorio;R.Angus Silver

  • Non-NMDA glutamate receptor occupancy and open probability at a rat cerebellar synapse with single and multiple release sites.

    R A Silver;S G Cull-Candy;T Takahashi

  • Nanoscale Distribution of Presynaptic Ca2+ Channels and Its Impact on Vesicular Release during Development

    Yukihiro Nakamura;Harumi Harada;Naomi Kamasawa;Ko Matsui

  • NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data

    Jason S. Rothman;R. Angus Silver

  • Synaptic depression enables neuronal gain control

    Jason S. Rothman;Laurence Cathala;Volker Steuber;R. Angus Silver

  • Spillover of glutamate onto synaptic AMPA receptors enhances fast transmission at a cerebellar synapse.

    David A. DiGregorio;Zoltan Nusser;R.Angus Silver

  • Bassoon Speeds Vesicle Reloading at a Central Excitatory Synapse

    Stefan Hallermann;Anna Fejtova;Hartmut Schmidt;Annika Weyhersmüller

  • Rapid Desynchronization of an Electrically Coupled Interneuron Network with Sparse Excitatory Synaptic Input

    Koen Vervaeke;Andrea Lőrincz;Padraig Gleeson;Matteo Farinella

  • Calcium hotspots caused by L-channel clustering promote morphological changes in neuronal growth cones

    R. Angus Silver;Angela G. Lamb;Stephen R. Bolsover

  • neuroConstruct: A Tool for Modeling Networks of Neurons in 3D Space

    Padraig Gleeson;Volker Steuber;R. Angus Silver

  • Re-evaluating circuit mechanisms underlying pattern separation

    N. Alex Cayco-Gajic;R. Angus Silver

  • The contribution of single synapses to sensory representation in vivo

    Alexander Arenz;R. Angus Silver;Andreas T. Schaefer;Troy W. Margrie

  • Estimation of nonuniform quantal parameters with multiple-probability fluctuation analysis: theory, application and limitations.

    R.Angus Silver

Frequent Co-Authors

Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology
Zoltan Nusser
Zoltan Nusser Hungarian Academy of Sciences
William W. Lytton
William W. Lytton SUNY Downstate Medical Center
Michael L. Hines
Michael L. Hines Yale University
Claudia Clopath
Claudia Clopath Imperial College London
Thomas D. Mrsic-Flogel
Thomas D. Mrsic-Flogel University College London
Chris I. De Zeeuw
Chris I. De Zeeuw Erasmus University Rotterdam
Egidio D'Angelo
Egidio D'Angelo University of Pavia
John Rinzel
John Rinzel New York University
Ramón Huerta
Ramón Huerta Autonomous University of Madrid

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