World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
65
Citations
13577
World Ranking
3143
National Ranking
180

Sridar Narayanan 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 Sridar Narayanan 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: 189 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Sridar Narayanan 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 Sridar Narayanan 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: 65 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Overview

Sridar Narayanan is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research primarily spans the field of Medicine, with a focus on various subfields including Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Neurology, Rheumatology, and Biomedical Engineering.

The main topics of their work encompass multiple areas within neurological and medical imaging research. These topics include:

  • Multiple Sclerosis Research Studies
  • Ultrasound Imaging and Elastography
  • Systemic Lupus Erythematosus Research
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Ultrasound and Hyperthermia Applications
  • Traumatic Brain Injury and Neurovascular Disturbances

Significant publication venues where Sridar Narayanan's work has appeared consist of:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neurology
  • Multiple Sclerosis Journal
  • Brain Communications
  • Multiple Sclerosis and Related Disorders

Frequent coauthors who have collaborated with Sridar Narayanan include:

  • Douglas L. Arnold
  • AmanPreet Badhwar
  • Dumitru Fetco
  • Flavie E. Detcheverry
  • D. Louis Collins

Among their recent publications are:

  • "Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data," published in 2021 in Nature Communications
  • "Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement," published in 2021 in Brain
  • "Cortical lesion hotspots and association of subpial lesions with disability in multiple sclerosis," published in 2022 in Multiple Sclerosis Journal
  • "Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumes," published in 2021 in Journal of Neurology Neurosurgery & Psychiatry
  • "Effects of Ibudilast on MRI Measures in the Phase 2 SPRINT-MS Study," published in 2020 in Neurology

Best Publications

  • Evidence of axonal damage in the early stages of multiple sclerosis and its relevance to disability.

    Nicola De Stefano;Sridar Narayanan;Gordon S. Francis;Rozie Arnaoutelis

  • Axonal damage correlates with disability in patients with relapsing-remitting multiple sclerosis. Results of a longitudinal magnetic resonance spectroscopy study.

    N De Stefano;P M Matthews;L Fu;S Narayanan

  • Imaging axonal damage of normal-appearing white matter in multiple sclerosis.

    L Fu;P M Matthews;N De Stefano;K J Worsley

  • Review of automatic segmentation methods of multiple sclerosis white matter lesions on conventional magnetic resonance imaging.

    Daniel García-Lorenzo;Simon J. Francis;Sridar Narayanan;Douglas L. Arnold

  • Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis.

    H Reddy;S Narayanan;R Arnoutelis;M Jenkinson

  • Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study

    Brenda Banwell;Amit Bar-Or;Douglas L Arnold;Dessa Sadovnick

  • In vivo histology of the myelin g-ratio with magnetic resonance imaging

    Nikola Stikov;Nikola Stikov;Jennifer S.W. Campbell;Thomas Stroh;Mariette Lavelée

  • Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.

    Charley Gros;Benjamin De Leener;Atef Badji;Josefina Maranzano

  • Imaging of axonal damage in multiple sclerosis: spatial distribution of magnetic resonance imaging lesions.

    S. Narayanan;L. Fu;E. Pioro;N. De Stefano

  • The relationship between diffuse axonal damage and fatigue in multiple sclerosis.

    Maria Carmela Tartaglia;Sridar Narayanan;Simon J. Francis;Antonio Carlos Santos

  • Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data.

    Arman Eshaghi;Alexandra L. Young;Alexandra L. Young;Peter A. Wijeratne;Ferran Prados;Ferran Prados;Ferran Prados

  • Putting magnetic resonance spectroscopy studies in context: axonal damage and disability in multiple sclerosis

    P. M. Matthews;N. De Stefano;S. Narayanan;G. S. Francis

  • Functional brain reorganization for hand movement in patients with multiple sclerosis: Defining distinct effects of injury and disability

    H Reddy;S Narayanan;M Woolrich;T Mitsumori

  • Diffuse axonal and tissue injury in patients with multiple sclerosis with low cerebral lesion load and no disability.

    Nicola De Stefano;Sridar Narayanan;Simon J. Francis;Steve Smith

  • In vivo evidence for axonal dysfunction remote from focal cerebral demyelination of the type seen in multiple sclerosis

    Nicola De Stefano;Sridar Narayanan;Paul M. Matthews;Gordon S. Francis

  • Multiple sclerosis: magnetization transfer MR imaging of white matter before lesion appearance on T2-weighted images.

    G. Bruce Pike;Nicola De Stefano;Sridar Narayanan;Keith J. Worsley

  • Choline is increased in pre-lesional normal appearing white matter in multiple sclerosis

    M. C. Tartaglia;S. Narayanan;N. De Stefano;R. Arnaoutelis

  • Relating axonal injury to functional recovery in MS

    H. Reddy;S. Narayanan;P.M. Matthews;R.D. Hoge

  • MRI parameters for prediction of multiple sclerosis diagnosis in children with acute CNS demyelination: a prospective national cohort study.

    Leonard H. Verhey;Helen M. Branson;Manohar M. Shroff;David J A Callen

  • Assessment of lesion pathology in multiple sclerosis using quantitative MRI morphometry and magnetic resonance spectroscopy

    P. M. Matthews;E. Pioro;S. Narayanan;N. De Stefano

  • Relating neocortical pathology to disability progression in multiple sclerosis using MRI

    J T Chen;S Narayanan;D L Collins;S M Smith

Frequent Co-Authors

Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
Brenda Banwell
Brenda Banwell Children's Hospital of Philadelphia
D. Louis Collins
D. Louis Collins McGill University
John G. Sled
John G. Sled University of Toronto
G. Bruce Pike
G. Bruce Pike University of Calgary
Amit Bar-Or
Amit Bar-Or University of Pennsylvania
Jack P. Antel
Jack P. Antel McGill University
Vladimir S. Fonov
Vladimir S. Fonov McGill University
Paul M. Matthews
Paul M. Matthews Imperial College London
Julien Cohen-Adad
Julien Cohen-Adad Polytechnique Montréal

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Related Online Degrees & Career Pathways

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Each of these online options provides flexibility and specialized training, making them popular among neuroscience graduates seeking to expand their credentials and contribute meaningfully to healthcare, education, or research sectors.

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