World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
34
Citations
4214
World Ranking
9358
National Ranking
691

Kevin Staras 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 Kevin Staras 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: 66 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Kevin Staras 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 Kevin Staras 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: 34 D-Index — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Overview

Kevin Staras is a researcher affiliated with the University of Sussex in the United Kingdom. Their work primarily spans the fields of Neuroscience and Biochemistry, Genetics and Molecular Biology, with a particular focus on Cellular and Molecular Neuroscience, Cognitive Neuroscience, and Physiology. The subfields of their research also include Molecular Biology and Biophysics.

The scientific topics addressed in their publications include Neuroscience and Neuropharmacology Research, Alzheimer's disease research and treatments, Photoreceptor and optogenetics research, Neural dynamics and brain function, Advanced Fluorescence Microscopy Techniques, Neurobiology and Insect Physiology Research, and Memory and Neural Mechanisms.

Staras has contributed to research published in a variety of journals, with frequent appearances in venues such as Alzheimer's & Dementia, bioRxiv (Cold Spring Harbor Laboratory), EMBO Reports, Cellular and Molecular Life Sciences, and Cell Reports. These outlets reflect the interdisciplinary nature of their research spanning molecular mechanisms and neurological function.

Their recent published papers include the following:

  • Misfolded amyloid-β-42 impairs the endosomal-lysosomal pathway (2020), Cellular and Molecular Life Sciences
  • Parp1 hyperactivity couples DNA breaks to aberrant neuronal calcium signalling and lethal seizures (2021), EMBO Reports
  • Nanoscale Remodeling of Functional Synaptic Vesicle Pools in Hebbian Plasticity (2020), Cell Reports
  • Non-telecentric two-photon microscopy for 3D random access mesoscale imaging (2022), Nature Communications
  • Elevated amyloid beta disrupts the nanoscale organization and function of synaptic vesicle pools in hippocampal neurons (2022), Cerebral Cortex

Staras frequently collaborates with several researchers, including Louise C. Serpell, Vincenzo Marra, Luca Biasetti, Stéphanie Rey, and Despoina Goniotaki. These collaborations highlight a network of research partnerships within their areas of study.

Best Publications

  • The probability of neurotransmitter release: variability and feedback control at single synapses.

    Tiago Branco;Kevin Staras

  • XRCC1 mutation is associated with PARP1 hyperactivation and cerebellar ataxia

    Nicolas C. Hoch;Hana Hanzlikova;Stuart L. Rulten;Martine Tétreault

  • Constitutive sharing of recycling synaptic vesicles between presynaptic boutons

    Kevin J Darcy;Kevin Staras;Lucy M Collinson;Yukiko Goda

  • Local Dendritic Activity Sets Release Probability at Hippocampal Synapses

    Tiago Branco;Kevin Staras;Kevin J. Darcy;Yukiko Goda

  • Behavioral Role for Nitric Oxide in Chemosensory Activation of Feeding in a Mollusc

    Elphick Mr;Kemenes G;Staras K;O'Shea M

  • A systems approach to the cellular analysis of associative learning in the pond snail Lymnaea.

    Paul R. Benjamin;Kevin Staras;György Kemenes

  • A vesicle superpool spans multiple presynaptic terminals in hippocampal neurons

    Kevin Staras;Tiago Branco;Jemima J. Burden;Karine Pozo

  • Role of Delayed Nonsynaptic Neuronal Plasticity in Long-Term Associative Memory

    Ildikó Kemenes;Volko A. Straub;Eugeny S. Nikitin;Kevin Staras

  • A Preferentially Segregated Recycling Vesicle Pool of Limited Size Supports Neurotransmission in Native Central Synapses

    Vincenzo Marra;Jemima J. Burden;Julian R. Thorpe;Ikuko T. Smith;Ikuko T. Smith

  • Synapsin Selectively Controls the Mobility of Resting Pool Vesicles at Hippocampal Terminals

    Ayelet Orenbuch;Lee Shalev;Vincenzo Marra;Isaac Sinai

  • Pattern-Generating Role for Motoneurons in a Rhythmically Active Neuronal Network

    Kevin Staras;György Kemenes;Paul R. Benjamin

  • Examining size-strength relationships at hippocampal synapses using an ultrastructural measurement of synaptic release probability.

    Tiago Branco;Vincenzo Marra;Kevin Staras

  • In Vitro Appetitive Classical Conditioning of the Feeding Response in the Pond Snail Lymnaea stagnalis

    György Kemenes;Kevin Staras;Paul R. Benjamin

  • Recruitment of resting vesicles into recycling pools supports NMDA receptor‐dependent synaptic potentiation in cultured hippocampal neurons

    Arjuna Ratnayaka;Vincenzo Marra;Daniel Bush;Jemima J Burden

  • Endogenous and network properties of Lymnaea feeding central pattern generator interneurons.

    Volko A. Straub;Kevin Staras;György Kemenes;Paul R. Benjamin

  • Cellular Traces of Behavioral Classical Conditioning Can Be Recorded at Several Specific Sites in a Simple Nervous System

    Kevin Staras;György Kemenes;Paul R. Benjamin

  • Visualization of co-localization in Aβ42-administered neuroblastoma cells reveals lysosome damage and autophagosome accumulation related to cell death.

    Violetta Soura;Maris Stewart-Parker;Thomas L. Williams;Arjuna Ratnayaka

  • Multiple Types of Control by Identified Interneurons in a Sensory-Activated Rhythmic Motor Pattern

    György Kemenes;Kevin Staras;Paul R. Benjamin

  • Suppression of nitric oxide (NO)-dependent behavior by double-stranded RNA-mediated silencing of a neuronal NO synthase gene.

    Sergei A. Korneev;Ildikó Kemenes;Volko Straub;Kevin Staras

  • Neurophysiological Correlates of Unconditioned and Conditioned Feeding Behavior in the Pond Snail Lymnaea stagnalis

    Kevin Staras;György Kemenes;Paul R. Benjamin

  • A critical role for the self-assembly of Amyloid-β1-42 in neurodegeneration

    Karen E. Marshall;Devkee M. Vadukul;Liza Dahal;Liza Dahal;Alina Theisen;Alina Theisen

  • Local dendritic activity sets release probability at hippocampal synapses

    Y Goda;K Darcy;K Staras;T Branco

Frequent Co-Authors

György Kemenes
György Kemenes University of Sussex
Paul R. Benjamin
Paul R. Benjamin University of Sussex
Tiago Branco
Tiago Branco University College London
Michael O'Shea
Michael O'Shea University of Sussex
Keith W. Caldecott
Keith W. Caldecott University of Sussex
Louise C. Serpell
Louise C. Serpell University of Sussex
Peter J. McKinnon
Peter J. McKinnon St. Jude Children's Research Hospital
Thomas Euler
Thomas Euler University of Tübingen
Michael Häusser
Michael Häusser University College London

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