World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
67
Citations
22790
World Ranking
2834
National Ranking
161

John G. Sled 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 John G. Sled 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: 275 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

John G. Sled 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 John G. Sled 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: 67 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

John G. Sled is a researcher affiliated with the University of Toronto in Canada, specializing in the field of Medicine with a focus on Pediatrics, Perinatology and Child Health, Molecular Biology, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, and Neurology.

Their research spans several main topics including:

  • Pregnancy and preeclampsia studies
  • Birth, Development, and Health
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Congenital heart defects research
  • Microplastics and Plastic Pollution
  • Neonatal and fetal brain pathology
  • Advanced Neuroimaging Techniques and Applications

Frequent publication venues for their work include:

  • EBioMedicine
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Scientific Reports
  • NeuroImage
  • IEEE Transactions on Medical Imaging

John G. Sled has collaborated extensively with several coauthors, most notably:

  • Lindsay S. Cahill
  • Christopher K. Macgowan
  • John Kingdom
  • Ahmet Baschat
  • Lena Serghides

Some of the recent publications authored or coauthored by John G. Sled include:

  • The CD94/NKG2A inhibitory receptor educates uterine NK cells to optimize pregnancy outcomes in humans and mice, 2021, Immunity
  • Maternal Exposure to Polystyrene Micro- and Nanoplastics Causes Fetal Growth Restriction in Mice, 2022, Environmental Science & Technology Letters
  • Maternal exposure to polystyrene microplastics alters placental metabolism in mice, 2022, Metabolomics
  • Normal human and sheep fetal vessel oxygen saturations by T2 magnetic resonance imaging, 2020, The Journal of Physiology
  • Maternal exposure to polystyrene nanoplastics impacts developmental milestones and brain structure in mouse offspring, 2023, Environmental Science Advances

Best Publications

  • A nonparametric method for automatic correction of intensity nonuniformity in MRI data

    J.G. Sled;A.P. Zijdenbos;A.C. Evans

  • Design and construction of a realistic digital brain phantom

    D.L. Collins;A.P. Zijdenbos;V. Kollokian;J.G. Sled

  • Serotonin receptor 1A knockout: an animal model of anxiety-related disorder.

    Sylvie Ramboz;Ronald Oosting;Djamel Aït Amara;Hank F. Kung

  • Behavioral phenotypes of Disc1 missense mutations in mice.

    Steven J. Clapcote;Tatiana V. Lipina;J. Kirsty Millar;Shaun Mackie

  • Reduced Fetal Cerebral Oxygen Consumption Is Associated With Smaller Brain Size in Fetuses With Congenital Heart Disease

    Liqun Sun;Liqun Sun;Christopher K. Macgowan;John G. Sled;Shi Joon Yoo

  • Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI.

    John G. Sled;G. Bruce Pike

  • Maze training in mice induces MRI-detectable brain shape changes specific to the type of learning.

    Jason P. Lerch;Adelaide P. Yiu;Alonso Martinez-Canabal;Tetyana Pekar

  • Three-dimensional cerebral vasculature of the CBA mouse brain: a magnetic resonance imaging and micro computed tomography study.

    Adrienne Dorr;John G. Sled;Noor Jehan Kabani

  • Dimensions of the human sclera: Thickness measurement and regional changes with axial length.

    Richard E. Norman;John G. Flanagan;John G. Flanagan;Sophie M.K. Rausch;Sophie M.K. Rausch;Ian A. Sigal

  • Quantitative Interpretation of Magnetization Transfer in Spoiled Gradient Echo MRI Sequences

    John G Sled;G.Bruce Pike

  • Qualitative and quantitative evaluation of six algorithms for correcting intensity nonuniformity effects.

    James B. Arnold;Jeih San Liow;Kirt A. Schaper;Joshua J. Stern

  • 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

  • MRI correlates of cognitive impairment in childhood-onset multiple sclerosis.

    C. Till;R. Ghassemi;B. Aubert-Broche;A. Kerbrat

  • MRI phenotyping of genetically altered mice.

    Jason P. Lerch;John G. Sled;R. Mark Henkelman

  • Longitudinal neuroanatomical changes determined by deformation-based morphometry in a mouse model of Alzheimer's disease.

    Jonathan C. Lau;Jason P. Lerch;John G. Sled;R. Mark Henkelman

  • Mutation I810N in the α3 isoform of Na+,K+-ATPase causes impairments in the sodium pump and hyperexcitability in the CNS

    Steven J. Clapcote;Steven Duffy;Gang Xie;Greer Kirshenbaum

  • Modelling and interpretation of magnetization transfer imaging in the brain

    John G. Sled

  • The hemodynamics of late-onset intrauterine growth restriction by MRI

    Meng Yuan Zhu;Natasha Milligan;Sarah Keating;Rory Windrim

  • 2010 McDonald criteria for diagnosing pediatric multiple sclerosis

    Yair Sadaka;Leonard H Verhey;Manohar M Shroff;Helen M Branson

  • Cortical thickness measured from MRI in the YAC128 mouse model of Huntington's disease

    Jason P. Lerch;Jeffrey B. Carroll;Adrienne Dorr;Shoshana Spring

  • Neuroanatomical differences between mouse strains as shown by high-resolution 3D MRI.

    X. Josette Chen;Natasa Kovacevic;Nancy J. Lobaugh;John G. Sled

Frequent Co-Authors

John Kingdom
John Kingdom University of Toronto
Sridar Narayanan
Sridar Narayanan Montreal Neurological Institute and Hospital
Brenda Banwell
Brenda Banwell Children's Hospital of Philadelphia
Jason P. Lerch
Jason P. Lerch Hospital for Sick Children
Margot J. Taylor
Margot J. Taylor University of Toronto
Douglas L. Arnold
Douglas L. Arnold Montreal Neurological Institute and Hospital
G. Bruce Pike
G. Bruce Pike University of Calgary
JoAnne McLaurin
JoAnne McLaurin Sunnybrook Health Science Centre
Kevin C. Kain
Kevin C. Kain University Health Network
Janet Rossant
Janet Rossant University of Toronto

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:

Related Online Degrees & Career Pathways

Exploring neuroscience in the USA opens doors to diverse careers and academic routes. If maximizing your earning potential is important, consider reviewing majors that make the most money. Some intersect with neuroscience and can influence both job prospects and salary expectations.

Many students look for quality education that fits their budget. For cost-effective options, research online schools that accept fafsa. These institutions provide accessible online degrees in neuroscience-related and other fields, helping you manage education costs.

If you want to expand your skillset quickly, there are online certification programs that can boost your resume and earning power. Certifications in data analysis, psychology, or healthcare may complement a neuroscience background and help you excel in specialized roles.

Wondering about program intensity? Take a look at the easiest college majors. Weighing academic rigor against your own strengths and interests will help you select the best pathway for your experience and goals.

Best Scientists Citing John G. Sled

Trending Scientists

Recently Published Articles