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György Kemenes

D-Index & Metrics

Neuroscience

D-Index
36
Citations
3932
World Ranking
9082
National Ranking
668

György Kemenes 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 György Kemenes 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: 112 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

György Kemenes 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 György Kemenes 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: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

György Kemenes is affiliated with the University of Sussex in the United Kingdom, focusing primarily on neuroscience and molecular biology related to aging, memory, and neurodegenerative processes. Their research intersects fields such as cellular and molecular neuroscience, cognitive neuroscience, and biochemistry, genetics, and molecular biology, with specific attention to aging mechanisms and neural function.

Their recent publications explore various aspects of neural biology and aging using model organisms like the great pond snail (Lymnaea stagnalis). Major papers include:

  • "Aging and disease-relevant gene products in the neuronal transcriptome of the great pond snail (Lymnaea stagnalis): a potential model of aging, age-related memory loss, and neurodegenerative diseases" (2020, Invertebrate Neuroscience)
  • "A circuit mechanism linking past and future learning through shifts in perception" (2023, Science Advances)
  • "The Great Pond Snail (Lymnaea stagnalis) as a Model of Aging and Age-Related Memory Impairment: An Overview" (2021, The Journals of Gerontology Series A)
  • "Molecular and functional characterization of an evolutionarily conserved CREB-binding protein in the Lymnaea CNS" (2022, The FASEB Journal)
  • "Interneuronal mechanisms for learning-induced switch in a sensory response that anticipates changes in behavioral outcomes" (2021, Current Biology)

Kemenes' work frequently appears in journals such as bioRxiv (Cold Spring Harbor Laboratory), Scientific Reports, and Science Advances. Their research topics cover:

  • Neurobiology and Insect Physiology Research
  • Memory and Neural Mechanisms
  • Cephalopods and Marine Biology
  • Neural dynamics and brain function
  • Genetics, Aging, and Longevity in Model Organisms
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Protein Hydrolysis and Bioactive Peptides

The scientist collaborates extensively with several coauthors, including Ildikó Kemenes, Zsolt Pirger, Paul R. Benjamin, I Fodor, and Michael Crossley. These collaborations reflect a multidisciplinary approach spanning both neurophysiology and molecular genetics.

Kemenes' main fields of study include:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology

Subfields in which they have contributed notably are:

  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Cognitive Neuroscience
  • Ecology, Evolution, Behavior and Systematics
  • Aging

The combination of publishing in both specialized and broad scientific outlets, along with a focus on aging and memory impairments in model organisms, positions György Kemenes as an active researcher contributing to the understanding of neural aging and its molecular basis.

Best Publications

  • 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

  • Critical Time-Window for NO–cGMP-Dependent Long-Term Memory Formation after One-Trial Appetitive Conditioning

    Ildikó Kemenes;György Kemenes;Richard J. Andrew;Paul R. Benjamin

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

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

  • A comparison of four techniques for mapping the distribution of serotonin and serotonin-containing neurons in fixed and living ganglia of the snail, Lymnaea.

    Kemenes G;Elekes K;Hiripi L;Benjamin Pr

  • CHEMICAL AND TACTILE INPUTS TO THE LYMNAEA FEEDING SYSTEM: EFFECTS ON BEHAVIOUR AND NEURAL CIRCUITRY

    G. Kemenes;C. J. H. Elliot;P. R. Benjamin

  • Modulatory role for the serotonergic cerebral giant cells in the feeding system of the snail, Lymnaea. II. Photoinactivation

    M. S. Yeoman;G. Kemenes;P. R. Benjamin;C. J. H. Elliott

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

    Kevin Staras;György Kemenes;Paul R. Benjamin

  • Behavioural and biochemical changes in the feeding system of Lymnaea induced by the dopamine and serotonin neurotoxins 6-hydroxydopamine and 5,6- dihydroxytryptamine

    G. Kemenes;L. Hiripi;P. R. Benjamin

  • Training in a novel environment improves the appetitive learning performance of the snail, Lymnaea stagnalis

    G. Kemenes;P.R. Benjamin

  • Dopamine-immunoreactive neurones in the central nervous system of the pond snail Lymnaea stagnalis.

    K. Elekes;G. Kemenes;G. Kemenes;L. Hiripi;M. Geffard

  • Persistent sodium current is a nonsynaptic substrate for long-term associative memory.

    Eugeny S. Nikitin;Eugeny S. Nikitin;Dimitris V. Vavoulis;Dimitris V. Vavoulis;Ildiko Kemenes;Vincenzo Marra

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

    György Kemenes;Kevin Staras;Paul R. Benjamin

  • Phase-Dependent Molecular Requirements for Memory Reconsolidation: Differential Roles for Protein Synthesis and Protein Kinase A Activity

    György Kemenes;Ildikó Kemenes;Maximilian Michel;Andrea Papp

  • Cyclic AMP response element-binding (CREB)-like proteins in a molluscan brain: Cellular localization and learning-induced phosphorylation

    Maria J Ribeiro;Zoltán Serfozo;Andrea Papp;Ildikó Kemenes

  • 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

  • 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

Frequent Co-Authors

Paul R. Benjamin
Paul R. Benjamin University of Sussex
Kevin Staras
Kevin Staras University of Sussex
Michael O'Shea
Michael O'Shea University of Sussex
Dora Reglodi
Dora Reglodi University of Pecs
Richard J. Andrew
Richard J. Andrew University of Sussex
Jianfeng Feng
Jianfeng Feng Fudan University
David O. Carpenter
David O. Carpenter University at Albany, State University of New York
Louise C. Serpell
Louise C. Serpell University of Sussex
Simon N. Waddington
Simon N. Waddington University College London
George B. Stefano
George B. Stefano Charles University

External Links

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Related Online Degrees & Career Pathways

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By combining neuroscience with related online degrees or certifications, students can tailor their education to fit evolving career goals in healthcare, education, or research.

Best Scientists Citing György Kemenes

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Leonid L. Moroz

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Abraham J. Susswein

Abraham J. Susswein

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