World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
38
Citations
4286
World Ranking
8642
National Ranking
642

Mikko Juusola 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 Mikko Juusola 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: 89 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.

Mikko Juusola 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 Mikko Juusola 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: 38 D-Index — 12th percentile

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

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

Overview

Mikko Juusola is affiliated with the University of Sheffield in the United Kingdom. Their research spans multiple fields with a focus on neuroscience and related areas.

The primary fields of study for Mikko Juusola include:

  • Neuroscience
  • Biochemistry, Genetics and Molecular Biology
  • Agricultural and Biological Sciences

Within these fields, the subfields they have contributed to are:

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

The main research topics covered in their work are:

  • Neurobiology and Insect Physiology Research
  • Insect and Arachnid Ecology and Behavior
  • Animal Behavior and Reproduction
  • Visual perception and processing mechanisms
  • Neural dynamics and brain function
  • Plant and animal studies
  • Plant and Biological Electrophysiology Studies

Mikko Juusola has had frequent collaboration with several researchers including:

  • Lars Chıttka
  • Joni Kemppainen
  • Jouni Takalo
  • Alice Bridges
  • HaDi MaBouDi

Their publications have appeared in several notable venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Preprints.org
  • Nature
  • Proceedings of the National Academy of Sciences
  • Vision Research

Selected recent papers authored or co-authored by Mikko Juusola include:

  • Theory of morphodynamic information processing: Linking sensing to behaviour, 2025, Vision Research
  • Bumblebees socially learn behaviour too complex to innovate alone, 2024, Nature
  • Binocular mirror-symmetric microsaccadic sampling enables Drosophila hyperacute 3D vision, 2022, Proceedings of the National Academy of Sciences
  • High-speed imaging of light-induced photoreceptor microsaccades in compound eyes, 2022, Communications Biology
  • Multiscale 'whole-cell' models to study neural information processing - New insights from fly photoreceptor studies, 2021, Journal of Neuroscience Methods

Best Publications

  • Calcium influx via TRP channels is required to maintain PIP2 levels in Drosophila photoreceptors.

    Roger C Hardie;Padinjat Raghu;Suzanna Moore;Mikko Juusola

  • Information processing by graded-potential transmission through tonically active synapses

    Mikko Juusola;Andrew S French;Raimo O Uusitalo;Matti Weckström

  • Light Adaptation in Drosophila Photoreceptors: I. Response Dynamics and Signaling Efficiency at 25°C

    Mikko Juusola;Roger C. Hardie

  • Normal Mitochondrial Dynamics Requires Rhomboid-7 and Affects Drosophila Lifespan and Neuronal Function

    G. Angus McQuibban;G. Angus McQuibban;Jeffrey R. Lee;Lei Zheng;Mikko Juusola

  • Phototransduction in Drosophila

    Roger C Hardie;Mikko Juusola

  • Compound eyes and retinal information processing in miniature dipteran species match their specific ecological demands

    Paloma T. Gonzalez-Bellido;Trevor J. Wardill;Trevor J. Wardill;Mikko Juusola;Mikko Juusola

  • Multiple spectral inputs improve motion discrimination in the Drosophila visual system.

    Trevor J. Wardill;Olivier List;Xiaofeng Li;Xiaofeng Li;Sidhartha Dongre

  • Transfer of Graded Potentials at the Photoreceptor-Interneuron Synapse

    M Juusola;R O Uusitalo;M Weckström

  • Molecular basis of amplification in Drosophila phototransduction: roles for G protein, phospholipase C, and diacylglycerol kinase.

    R.C. Hardie;F. Martin;G.W. Cochrane;M. Juusola

  • Contrast gain, signal-to-noise ratio, and linearity in light-adapted blowfly photoreceptors.

    M Juusola;E Kouvalainen;M Järvilehto;M Weckström

  • Light Adaptation in Drosophila Photoreceptors: II. Rising Temperature Increases the Bandwidth of Reliable Signaling

    Mikko Juusola;Roger C. Hardie

  • Feedback Network Controls Photoreceptor Output at the Layer of First Visual Synapses in Drosophila

    Lei Zheng;Gonzalo G. de Polavieja;Verena Wolfram;Musa H. Asyali

  • Stochastic, Adaptive Sampling of Information by Microvilli in Fly Photoreceptors

    Zhuoyi Song;Marten Postma;Marten Postma;Stephen A. Billings;Daniel Coca

  • The contribution of Shaker K + channels to the information capacity of Drosophila photoreceptors

    Jeremy E. Niven;Mikko Vähäsöyrinki;Mika Kauranen;Roger C. Hardie

  • Distinct roles for two histamine receptors (hclA and hclB) at the Drosophila photoreceptor synapse.

    Antonios Pantazis;Ashvina Segaran;Che-Hsiung Liu;Anton Nikolaev

  • The Efficiency of Sensory Information Coding by Mechanoreceptor Neurons

    Mikko Juusola;Andrew S French

  • Stimulus history reliably shapes action potential waveforms of cortical neurons.

    Gonzalo G de Polavieja;Annette Harsch;Ingo Kleppe;Hugh P C Robinson

  • The rate of information transfer of naturalistic stimulation by graded potentials.

    Mikko Juusola;Gonzalo G. de Polavieja;Gonzalo G. de Polavieja

  • Robustness of neural coding in Drosophila photoreceptors in the absence of slow delayed rectifier K+ channels.

    Mikko Vähäsöyrinki;Jeremy E. Niven;Roger C. Hardie;Matti Weckström

  • Intrinsic Activity in the Fly Brain Gates Visual Information during Behavioral Choices

    Shiming Tang;Shiming Tang;Mikko Juusola;Mikko Juusola

  • channels to the information capacity of Drosophila photoreceptors

    Jeremy E. Niven;Mika Kauranen;Roger C. Hardie;Mikko Juusola

Frequent Co-Authors

Roger C. Hardie
Roger C. Hardie University of Cambridge
Andrew S. French
Andrew S. French Dalhousie University
Stephen A. Billings
Stephen A. Billings University of Sheffield
Hugh P. C. Robinson
Hugh P. C. Robinson University of Cambridge
Cahir J. O'Kane
Cahir J. O'Kane University of Cambridge
Ian A. Meinertzhagen
Ian A. Meinertzhagen Dalhousie University
Erik De Schutter
Erik De Schutter Okinawa Institute of Science and Technology
Seth J. Davis
Seth J. Davis University of York
Michael J. O. Wakelam
Michael J. O. Wakelam Babraham Institute
Matthew Freeman
Matthew Freeman University of Oxford

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