World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
40
Citations
6168
World Ranking
8108
National Ranking
476

Jamie Near 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 Jamie Near 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: 128 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Jamie Near 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 Jamie Near 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: 40 D-Index — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Overview

Jamie Near is affiliated with the Douglas Mental Health University Institute in Canada. Their research focuses on various aspects of magnetic resonance spectroscopy (MRS) and advanced neuroimaging techniques, with applications that span medicine and neuroscience.

The scientist has contributed extensively to the study of Magnetic Resonance Spectroscopy and related imaging modalities, reflected in their publications and research topics. Key fields of study include:

  • Medicine
  • Neuroscience

Within these fields, their work further specializes into several subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Cognitive Neuroscience
  • Molecular Biology
  • Spectroscopy
  • Physiology

Jamie Near's primary research topics cover advancements in imaging and spectroscopy methods, particularly:

  • Advanced MRI Techniques and Applications
  • Advanced NMR Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Neuroscience and Neuropharmacology Research
  • Alzheimer's disease research and treatments
  • Medical Imaging Techniques and Applications

Their publication record includes several recent papers such as:

  • "Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations," 2020, published in NMR in Biomedicine
  • "Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations," 2021, published in NMR in Biomedicine
  • "Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts' consensus recommendations," 2020, published in NMR in Biomedicine
  • "Association of Elevated Amyloid and Tau Positron Emission Tomography Signal With Near-Term Development of Alzheimer Disease Symptoms in Older Adults Without Cognitive Impairment," 2022, published in JAMA Neurology
  • "Correcting frequency and phase offsets in MRS data using robust spectral registration," 2020, published in NMR in Biomedicine

The venues where Jamie Near frequently publishes include:

  • 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
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Magnetic Resonance in Medicine
  • Zenodo (CERN European Organization for Nuclear Research)
  • NMR in Biomedicine

Jamie Near collaborates often with several coauthors, including:

  • M. Mallar Chakravarty
  • Gabriel A. Devenyi
  • Caitlin Fowler
  • Masoumeh Dehghani
  • Dana Goerzen

Best Publications

  • Relationship between physiological measures of excitability and levels of glutamate and GABA in the human motor cortex

    C J Stagg;S Bestmann;A O Constantinescu;A O Constantinescu;L Moreno Moreno

  • Minimum Reporting Standards for in vivo Magnetic Resonance Spectroscopy (MRSinMRS): Experts' consensus recommendations

    Alexander Lin;Ovidiu Andronesi;Wolfgang Bogner;In‐Young Choi

  • Frequency and phase drift correction of magnetic resonance spectroscopy data by spectral registration in the time domain

    J Near;R Edden;C J Evans;R Paquin

  • Modulation of GABA and resting state functional connectivity by transcranial direct current stimulation

    Velicia Bachtiar;Jamie Near;Heidi Johansen-Berg;Charlotte J Stagg

  • Local GABA concentration is related to network-level resting functional connectivity

    Charlotte J Stagg;Velicia Bachtiar;Ugwechi Amadi;Christel A Gudberg

  • A mechanism for value-guided choice based on the excitation-inhibition balance in prefrontal cortex

    Gerhard Jocham;Laurence T Hunt;Laurence T Hunt;Jamie Near;Timothy E J Behrens;Timothy E J Behrens

  • Baseline GABA concentration and fMRI response

    Manus J. Donahue;Jamie Near;Jakob Udby Blicher;Peter Jezzard

  • GABA Levels Are Decreased After Stroke and GABA Changes During Rehabilitation Correlate With Motor Improvement

    Jakob Udby Blicher;Jamie Near;Erhard Næss-Schmidt;Charlotte J. Stagg

  • Changes in functional connectivity and GABA levels with long-term motor learning

    Cassandra Sampaio-Baptista;Nicola Filippini;Charlotte J. Stagg;Jamie Near

  • Impact of frequency drift on gamma-aminobutyric acid-edited MR spectroscopy

    Ashley D. Harris;Ashley D. Harris;Benjamin Glaubitz;Jamie Near;C. John Evans

  • Resting GABA and glutamate concentrations do not predict visual gamma frequency or amplitude.

    Helena Cousijn;Saskia Haegens;George Wallis;Jamie Near

  • Neurochemistry of major depression: a study using magnetic resonance spectroscopy

    Beata R. Godlewska;Jamie Near;Jamie Near;Philip J. Cowen

  • Black-Blood Multicontrast Imaging of Carotid Arteries with DANTE-prepared 2D and 3D MR Imaging

    Linqing Li;Joshua T Chai;Luca Biasiolli;Matthew D Robson

  • Unedited in vivo detection and quantification of γ-aminobutyric acid in the occipital cortex using short-TE MRS at 3 T.

    Jamie Near;Jamie Near;Jesper Andersson;Eduard Maron;Ralf Mekle;Ralf Mekle

  • Efficient γ-aminobutyric acid editing at 3T without macromolecule contamination: MEGA-SPECIAL.

    Jamie Near;Robin Simpson;Philip Cowen;Peter Jezzard

  • Accelerated functional brain aging in pre-clinical familial Alzheimer's disease.

    Julie Gonneaud;Julie Gonneaud;Alex T Baria;Alexa Pichet Binette;Alexa Pichet Binette;Brian A Gordon

  • Pathological glutamatergic neurotransmission in Gilles de la Tourette syndrome.

    Ahmad Seif Kanaan;Ahmad Seif Kanaan;Sarah Gerasch;Isabel García-García;Leonie Lampe

  • Long-term reproducibility of GABA magnetic resonance spectroscopy

    Jamie Near;Jamie Near;Yi-Ching Lynn Ho;Kristian Sandberg;Chathura Kumaragamage

  • J-difference editing of gamma-aminobutyric acid (GABA): simulated and experimental multiplet patterns.

    Jamie Near;Jamie Near;C. John Evans;Nicolaas A. J. Puts;Nicolaas A. J. Puts;Peter B. Barker;Peter B. Barker

  • Altered neurochemical coupling in the occipital cortex in migraine with visual aura

    Holly Bridge;Charlotte J Stagg;Jamie Near;Chi-ieong Lau

  • Spectroscopy markers of suicidal risk and mental pain in depressed patients.

    Fabrice Jollant;Jamie Near;Gustavo Turecki;Stéphane Richard-Devantoy

Frequent Co-Authors

M. Mallar Chakravarty
M. Mallar Chakravarty McGill University
Charlotte J. Stagg
Charlotte J. Stagg University of Oxford
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Richard Anthony Edward Edden
Richard Anthony Edward Edden Johns Hopkins University School of Medicine
Nicolaas A.J. Puts
Nicolaas A.J. Puts King's College London
Nicola Filippini
Nicola Filippini University of Oxford
Ray Norbury
Ray Norbury Brunel University London
Peter Jezzard
Peter Jezzard University of Oxford
Philip J. Cowen
Philip J. Cowen University of Oxford
Kirsten R. Müller-Vahl
Kirsten R. Müller-Vahl Hannover Medical School

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