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D-Index & Metrics

Neuroscience

D-Index
45
Citations
7634
World Ranking
6933
National Ranking
197

Michael Kalloniatis 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 Michael Kalloniatis 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: 284 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Michael Kalloniatis 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 Michael Kalloniatis 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: 45 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Overview

Michael Kalloniatis is affiliated with the University of New South Wales in Australia. Their research primarily focuses on medical and ophthalmological fields, with a substantial contribution to the study of glaucoma, retinal disorders, and retinal imaging. Their work spans various subfields including ophthalmology, radiology, nuclear medicine and imaging, epidemiology, general health professions, and health information management.

Their most frequent topics of research cover:

  • Glaucoma and retinal disorders
  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Corneal surgery and disorders
  • Ophthalmology and Visual Impairment Studies
  • Retinal and Optic Conditions
  • Digital Imaging for Blood Diseases

Kalloniatis has authored publications in multiple well-known journals. Their frequent publication venues include:

  • Ophthalmic and Physiological Optics
  • Clinical and Experimental Optometry
  • Scientific Reports
  • Translational Vision Science & Technology
  • Investigative Ophthalmology & Visual Science

Frequent coauthors in Kalloniatis' research include Jack Phu, Janelle Tong, Henrietta Wang, Barbara Zangerl, and Lisa Nivison-Smith, indicating a collaborative research environment.

Among their recent papers are:

  • "A combined convolutional and recurrent neural network for enhanced glaucoma detection," 2021, Scientific Reports
  • "A comparison of deep learning U-Net architectures for posterior segment OCT retinal layer segmentation," 2022, Scientific Reports
  • "Ability of 24-2C and 24-2 Grids to Identify Central Visual Field Defects and Structure-Function Concordance in Glaucoma and Suspects," 2020, American Journal of Ophthalmology
  • "Comparison of 10-2 and 24-2C Test Grids for Identifying Central Visual Field Defects in Glaucoma and Suspect Patients," 2021, Ophthalmology
  • "Clinical outcomes of the Centre for Eye Health: an intra-professional optometry-led collaborative eye care clinic in Australia," 2021, Clinical and Experimental Optometry

Their body of work predominantly explores diagnostic and analytical methods in eye care, utilizing advanced imaging and neural network technologies, particularly in relation to glaucoma and retinal health assessment. This research intersects applied clinical practice and technological innovation in ophthalmology.

Best Publications

  • Patterns of glutamate immunoreactivity in the goldfish retina

    R. E. Marc;W.-L. S. Liu;M. Kalloniatis;S. F. Raiguel

  • Separate Progenitors for Radial and Tangential Cell Dispersion during Development of the Cerebral Neocortex

    Seong-Seng Tan;Michael Kalloniatis;Karin Sturm;Patrick P.L Tam

  • Amino Acid Signatures in the Primate Retina

    Michael Kalloniatis;Robert E. Marc;Ralph F. Murry

  • Endogenous IGF-1 regulates the neuronal differentiation of adult stem cells.

    Gordon J.F. Brooker;Michael Kalloniatis;Vincenzo C. Russo;Mark Murphy

  • Immunocytochemical localization of the amino acid neurotransmitters in the chicken retina

    Michael Kalloniatis;Erica L. Fletcher

  • Retinitis pigmentosa: understanding the clinical presentation, mechanisms and treatment options

    Michael Kalloniatis;Erica L Fletcher

  • Amino acid neurochemistry of the vertebrate retina.

    M Kalloniatis;G Tomisich

  • Neurochemical architecture of the normal and degenerating rat retina

    Erica L. Fletcher;Michael Kalloniatis

  • Localisation of amino acid neurotransmitters during postnatal development of the rat retina

    Erica L. Fletcher;Michael Kalloniatis

  • A combined convolutional and recurrent neural network for enhanced glaucoma detection.

    Soheila Gheisari;Sahar Shariflou;Jack Phu;Paul J. Kennedy

  • A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs.

    Sidong Liu;Stuart L. Graham;Angela Schulz;Michael Kalloniatis

  • Glutamate uptake in retinal glial cells during diabetes.

    M. M. Ward;A. I. Jobling;M. Kalloniatis;E. L. Fletcher

  • Amino acid signatures in the normal cat retina

    Robert E. Marc;Ralph F. Murry;Steven K. Fisher;Kenneth A. Linberg

  • Reduced glutamate uptake by retinal glial cells under ischemic/hypoxic conditions.

    Genevieve A. Napper;Michael J. Pianta;Michael Kalloniatis

  • Clinical model assisting with the collaborative care of glaucoma patients and suspects

    Khalid F Jamous;Khalid F Jamous;Michael Kalloniatis;Michael P Hennessy;Ashish Agar

  • Functional remodeling of glutamate receptors by inner retinal neurons occurs from an early stage of retinal degeneration

    Jacqueline Chua;Erica L Fletcher;Michael Kalloniatis;Michael Kalloniatis

  • Localization of NMDA receptor subunits and mapping NMDA drive within the mammalian retina.

    Michael Kalloniatis;Daniel Sun;Lisa Foster;Silke Haverkamp

  • The value of visual field testing in the era of advanced imaging: clinical and psychophysical perspectives

    Jack Phu;Sieu K Khuu;Michael Yapp;Nagi Assaad

  • Functional and neurochemical development in the normal and degenerating mouse retina

    Riki Gibson;Erica L. Fletcher;Algis J. Vingrys;Yuan Zhu

  • Early markers of retinal degeneration in rd/rd mice

    Monica L Acosta;Erica L Fletcher;Serap Azizoglu;Lisa E Foster

  • Using the rd1 mouse to understand functional and anatomical retinal remodelling and treatment implications in retinitis pigmentosa: A review.

    M. Kalloniatis;L. Nivison-Smith;J. Chua;M.L. Acosta

Frequent Co-Authors

Erica L. Fletcher
Erica L. Fletcher University of Melbourne
Robert E. Marc
Robert E. Marc University of Utah
Seong-Seng Tan
Seong-Seng Tan University of Melbourne
Ronald S. Harwerth
Ronald S. Harwerth University of Houston
Shaun P. Collin
Shaun P. Collin La Trobe University
Leigh A. Johnston
Leigh A. Johnston University of Melbourne
Ian C. Potter
Ian C. Potter Murdoch University
Paul Mitchell
Paul Mitchell University of Sydney
David Hunt
David Hunt University of Edinburgh
Dewei Chu
Dewei Chu University of New South Wales

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