World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
68
Citations
18221
World Ranking
2738
National Ranking
1280

Masakazu Konishi 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 Masakazu Konishi 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: 124 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Masakazu Konishi 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 Masakazu Konishi 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: 68 D-Index — 72nd percentile

72% 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

  • 2005 - Gruber Prize in Neuroscience, Society for Neuroscience
  • 2004 - Ralph W. Gerard Prize in Neuroscience, Society for Neuroscience
  • 2004 - Karl Spencer Lashley Award, The American Philosophical Society In recognition of their fundamental contributions in identifying the organization and function of the avian brain systems for learning and executing birdsong
  • 1985 - Member of the National Academy of Sciences
  • 1981 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Masakazu Konishi was affiliated with the California Institute of Technology in the United States. Their research primarily focused on the field of medicine, with specific contributions across several subfields including occupational therapy, endocrinology, diabetes and metabolism, surgery, physiology, and oral surgery.

Their scholarly work addressed multiple topics within medicine. Key areas of focus included pressure ulcer prevention and management, diabetic foot ulcer assessment and management, surgical site infection prevention, voice and speech disorders, dental radiography and imaging, and airway management and intubation techniques.

Among their recent published papers were:

  • An ingenious deep learning approach for pressure injury depth evaluation with limited data, 2024, Journal of Tissue Viability
  • Glottis Recognition Software Development Using Artificial Intelligence, 2024, Cureus
  • Improving the Accuracy of Diagnostic Imaging using Artificial Intelligence: A Method for Assessing Necrotic Tissue in Pressure Injury, 2025, Yonago acta medica

Konishi collaborated frequently with several researchers including Hiroyuki Nishikawa, Kento Ikuta, Yuka Kimura, Makoto Nakagaki, and Makoto Ohga.

Their work was published in various journals, notably:

  • Journal of Tissue Viability
  • Cureus
  • Yonago acta medica

Awards granted to Konishi throughout their career comprised the Gruber Prize in Neuroscience from the Society for Neuroscience in 2005, the Karl Spencer Lashley Award from The American Philosophical Society in 2004 for contributions to understanding avian brain systems related to birdsong, the Ralph W. Gerard Prize in Neuroscience also from the Society for Neuroscience in 2004, election to the National Academy of Sciences in 1985, and fellowship in the American Association for the Advancement of Science in 1981.

Best Publications

  • A circuit for detection of interaural time differences in the brain stem of the barn owl

    CE Carr;M Konishi

  • BIRDSONG: FROM BEHAVIOR TO NEURON

    Masakazu Konishi

  • A Neural Map of Auditory Space in the Owl

    Eric I. Knudsen;Masakazu Konishi

  • Neuronal growth, atrophy and death in a sexually dimorphic song nucleus in the zebra finch brain

    Masakazu Konishi;Eugene Akutagawa

  • Hormone-induced sexual differentiation of brain and behavior in zebra finches.

    Mark E. Gurney;Masakazu Konishi

  • Mechanisms of sound localization in the barn owl (Tyto alba)

    Eric I. Knudsen;Masakazu Konishi

  • Song-selective auditory circuits in the vocal control system of the zebra finch.

    Allison J. Doupe;Masakazu Konishi

  • Neurons selective for orientation and binocular disparity in the visual Wulst of the barn owl (Tyto alba)

    John D. Pettigrew;Masakazu Konishi

  • Decrystallization of adult birdsong by perturbation of auditory feedback

    Anthony Leonardo;Masakazu Konishi

  • Axonal delay lines for time measurement in the owl's brainstem.

    Catherine E. Carr;Masakazu Konishi

  • Neuronal and behavioral sensitivity to binaural time differences in the owl

    A Moiseff;M Konishi

  • Interaction between auditory and motor activities in an avian song control nucleus

    James S. McCasland;Masakazu Konishi

  • Space and frequency are represented separately in auditory midbrain of the owl.

    Eric I. Knudsen;Masakazu Konishi

  • A suboscine bird (eastern phoebe, Sayornis phoebe) develops normal song without auditory feedback

    Donald E. Kroodsma;Masakazu Konishi

  • Sound localization by the barn owl ( Tyto alba ) measured with the search coil technique

    Eric I. Knudsen;Gary G. Blasdel;Masakazu Konishi

  • Auditory Spatial Receptive Fields Created by Multiplication

    José Luis Peña;Masakazu Konishi

  • Coding of auditory space.

    Masakazu Konishi

  • Time and intensity cues are processed independently in the auditory system of the owl.

    T Takahashi;A Moiseff;M Konishi

  • How the Owl Tracks Its Prey

    Masakazu Konishi

  • Representation of interaural time difference in the central nucleus of the barn owl's inferior colliculus.

    Hermann Wagner;Terry Takahashi;Masakazu Konishi

Frequent Co-Authors

Eric I. Knudsen
Eric I. Knudsen Stanford University
Catherine E. Carr
Catherine E. Carr University of Maryland, College Park
John D. Pettigrew
John D. Pettigrew University of Queensland
Ichiro Fujita
Ichiro Fujita Osaka University
Peter Marler
Peter Marler University of California, Davis
Nicholas C. Brecha
Nicholas C. Brecha University of California, Los Angeles
Richard Kempter
Richard Kempter Humboldt-Universität zu Berlin
Benedikt Grothe
Benedikt Grothe Ludwig-Maximilians-Universität München
Hans-Joachim Bischof
Hans-Joachim Bischof Bielefeld University
Manfred Gahr
Manfred Gahr Max Planck Society

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Masakazu Konishi