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Mark Jenkinson

D-Index & Metrics

Neuroscience

D-Index
97
Citations
120297
World Ranking
811
National Ranking
93

Mark Jenkinson 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 Mark Jenkinson 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: 321 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Mark Jenkinson 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 Mark Jenkinson 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: 97 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Mark Jenkinson is affiliated with the University of Oxford in the United Kingdom. Their research primarily intersects Medicine and Computer Science, with major contributions in Radiology, Nuclear Medicine and Imaging, Neurology, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Artificial Intelligence.

The scientist's research focuses on several main topics including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Medical Image Segmentation Techniques
  • Fetal and Pediatric Neurological Disorders
  • Acute Ischemic Stroke Management
  • Radiomics and Machine Learning in Medical Imaging
  • Dementia and Cognitive Impairment Research

Mark Jenkinson's recent publications span from 2020 to 2022 and cover areas related to neuroimaging and medical data analysis. Some notable papers include:

  • "Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge" (2021) published in EClinicalMedicine
  • "The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants" (2020) published in NeuroImage
  • "The Developing Human Connectome Project Neonatal Data Release" (2022) published in Frontiers in Neuroscience
  • "Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal" (2020) published in NeuroImage
  • "Learning patterns of the ageing brain in MRI using deep convolutional networks" (2020) published in NeuroImage

Mark Jenkinson has collaborated frequently with notable coauthors including Ludovica Griffanti, Nicola K. Dinsdale, Ana I. L. Namburete, Vaanathi Sundaresan, and Giovanna Zamboni, reflecting interdisciplinary teamwork within neuroimaging and computational analysis fields.

Their work has been published in a variety of prominent venues, with the most frequent outlets being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • NeuroImage
  • Human Brain Mapping
  • Medical Image Analysis

Best Publications

  • Advances in functional and structural MR image analysis and implementation as FSL.

    S M Smith;M Jenkinson;M W Woolrich;M W Woolrich;C F Beckmann

  • IMPROVED OPTIMIZATION FOR THE ROBUST AND ACCURATE LINEAR REGISTRATION AND MOTION CORRECTION OF BRAIN IMAGES

    Mark Jenkinson;Peter R. Bannister;Peter R. Bannister;Michael Brady;Stephen M. Smith

  • New advances in the Clinica software platform for clinical neuroimaging studies

    Alexandre Routier;Arnaud Marcoux;Mauricio Diaz Melo;Jérémy Guillon

  • A global optimisation method for robust affine registration of brain images

    Mark Jenkinson;Stephen M. Smith

  • Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

    S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert

  • The minimal preprocessing pipelines for the Human Connectome Project.

    Matthew F. Glasser;Stamatios N. Sotiropoulos;J. Anthony Wilson;Timothy S. Coalson

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

    Timothy E.J. Behrens;M. W. Woolrich;Mi Jenkinson;H. Johansen-Berg

  • Bayesian analysis of neuroimaging data in FSL.

    Mark William Woolrich;Saâd Jbabdi;Brian Patenaude;Michael A. Chappell

  • Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

    Arno Klein;Jesper L. R. Andersson;Babak A. Ardekani;Babak A. Ardekani;John Ashburner

  • A Bayesian model of shape and appearance for subcortical brain segmentation

    Brian Patenaude;Stephen M. Smith;David N. Kennedy;Mark Jenkinson

  • Accurate, Robust, and Automated Longitudinal and Cross-Sectional Brain Change Analysis

    Stephen M. Smith;Yongyue Zhang;Mark Jenkinson;Jacqueline Chen

  • Multimodal population brain imaging in the UK Biobank prospective epidemiological study

    Karla L Miller;Fidel Alfaro-Almagro;Neal K Bangerter;David L Thomas

  • Multilevel linear modelling for FMRI group analysis using Bayesian inference.

    Mark W. Woolrich;Mark W. Woolrich;Timothy Edward John Behrens;Timothy Edward John Behrens;Christian F. Beckmann;Christian F. Beckmann;Mark Jenkinson

  • General multilevel linear modeling for group analysis in FMRI.

    Christian F. Beckmann;Mark Jenkinson;Stephen M. Smith

  • Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.

    Fidel Alfaro-Almagro;Mark Jenkinson;Neal K. Bangerter;Jesper L. R. Andersson

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia

    Gwenaëlle Douaud;Stephen Smith;Mark Jenkinson;Timothy Behrens

Frequent Co-Authors

Stephen M. Smith
Stephen M. Smith University of Oxford
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Paul M. Matthews
Paul M. Matthews Imperial College London
Karla L. Miller
Karla L. Miller University of Oxford
Clare E. Mackay
Clare E. Mackay University of Oxford
Christian F. Beckmann
Christian F. Beckmann Radboud University
Jesper L. R. Andersson
Jesper L. R. Andersson University of Oxford
Jacqueline Palace
Jacqueline Palace TU Dresden
Heidi Johansen-Berg
Heidi Johansen-Berg University of Oxford
Julia A. Schnabel
Julia A. Schnabel King's College London

External Links

Personal website of Mark Jenkinson Google Scholar page

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Best Scientists Citing Mark Jenkinson

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 459

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 333

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 330

Frederik Barkhof

Frederik Barkhof

University College London

Publications: 309

Massimo Filippi

Massimo Filippi

Vita-Salute San Raffaele University

Publications: 292

Stephen M. Smith

Stephen M. Smith

University of Oxford

Publications: 235

Christian F. Beckmann

Christian F. Beckmann

Radboud University

Publications: 234

Paul M. Matthews

Paul M. Matthews

Imperial College London

Publications: 234

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 224

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 219

Michael P. Milham

Michael P. Milham

Child Mind Institute

Publications: 218

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 215

Robert Zivadinov

Robert Zivadinov

University at Buffalo, State University of New York

Publications: 188

Thomas E. Nichols

Thomas E. Nichols

University of Oxford

Publications: 185

Arthur W. Toga

Arthur W. Toga

University of Southern California

Publications: 185

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 180

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