World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
33
Citations
4529
World Ranking
9455
National Ranking
699

Karen J. Mullinger 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 Karen J. Mullinger 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: 79 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Karen J. Mullinger 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 Karen J. Mullinger 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: 33 D-Index — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Overview

Karen J. Mullinger is affiliated with the University of Nottingham in the United Kingdom. Their research primarily spans the fields of Neuroscience and Medicine, with a particular focus on Cognitive Neuroscience as well as Radiology, Nuclear Medicine and Imaging. The scientist's work also touches on Neurology, Atomic and Molecular Physics and Optics, and Cardiology and Cardiovascular Medicine.

The main topics of their research contributions include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Atomic and Subatomic Physics Research
  • Advanced MRI Techniques and Applications
  • Cerebrovascular and Carotid Artery Diseases
  • Optical Imaging and Spectroscopy Techniques

The list of frequent publication venues where Karen J. Mullinger's work appears includes:

  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Imaging Neuroscience
  • 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
  • Human Brain Mapping

Frequent collaborators in research publications include:

  • Matthew J. Brookes
  • Samuel J. E. Lucas
  • Sebastian Coleman
  • Elena Boto
  • Niall Holmes

Recent publications feature a range of topics reflecting both methodological advances and applied studies. Selected papers include:

  • The role of transient spectral 'bursts' in functional connectivity: A magnetoencephalography study, 2020, NeuroImage
  • Measurement of Frontal Midline Theta Oscillations using OPM-MEG, 2023, NeuroImage
  • Contrasting Measures of Cerebrovascular Reactivity Between MRI and Doppler: A Cross-Sectional Study of Younger and Older Healthy Individuals, 2021, Frontiers in Physiology
  • The CO2 stimulus duration and steady-state time point used for data extraction alters the cerebrovascular reactivity outcome measure, 2020, Experimental Physiology
  • Measuring resting cerebral haemodynamics using MRI arterial spin labelling and transcranial Doppler ultrasound: Comparison in younger and older adults, 2021, Brain and Behavior

Best Publications

  • Moving magnetoencephalography towards real-world applications with a wearable system.

    Elena Boto;Niall Holmes;James Leggett;Gillian Roberts

  • Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength.

    Stefan Debener;Karen J. Mullinger;Rami K. Niazy;Richard W. Bowtell

  • Alpha/beta power decreases track the fidelity of stimulus-specific information

    Benjamin James Griffiths;Stephen D Mayhew;Karen J Mullinger;Karen J Mullinger;João Jorge

  • Evidence that the negative BOLD response is neuronal in origin: A simultaneous EEG–BOLD–CBF study in humans

    Karen J. Mullinger;Karen J. Mullinger;Stephen D. Mayhew;Andrew P. Bagshaw;Richard W. Bowtell

  • Wearable neuroimaging: Combining and contrasting magnetoencephalography and electroencephalography

    Elena Boto;Zelekha A. Seedat;Niall Holmes;James Leggett

  • Theta power during encoding predicts subsequent-memory performance and default mode network deactivation.

    Thomas P. White;Thomas P. White;Marije Jansen;Kathrin Doege;Karen J. Mullinger

  • Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI☆

    Muhammad Enamul Hoque Chowdhury;Karen J. Mullinger;Paul Glover;Richard Bowtell

  • Effects of simultaneous EEG recording on MRI data quality at 1.5, 3 and 7 tesla.

    Karen J Mullinger;Stefan Debener;Ronald Coxon;Richard Bowtell

  • Poststimulus undershoots in cerebral blood flow and BOLD fMRI responses are modulated by poststimulus neuronal activity

    Karen J. Mullinger;Stephen D. Mayhew;Andrew P. Bagshaw;Richard Bowtell

  • Relationships Between Neuronal Oscillatory Amplitude and Dynamic Functional Connectivity.

    Prejaas K. Tewarie;Benjamin A. E. Hunt;George C. O'Neill;Aine Byrne

  • Simultaneous EEG source localisation and artifact rejection during concurrent fMRI by means of spatial filtering.

    Matthew J. Brookes;Karen J. Mullinger;Claire M. Stevenson;Peter G. Morris

  • Reducing the gradient artefact in simultaneous EEG-fMRI by adjusting the subject's axial position.

    Karen J. Mullinger;Winston X. Yan;Richard W. Bowtell

  • Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner

    Karen J. Mullinger;Jade Havenhand;Richard W. Bowtell

  • The role of transient spectral ‘bursts’ in functional connectivity: A magnetoencephalography study

    Z A Seedat;A J Quinn;D Vidaurre;L Liuzzi

  • Measurement of Frontal Midline Theta Oscillations using OPM-MEG

    Unknown

  • Improved artifact correction for combined electroencephalography/functional MRI by means of synchronization and use of vectorcardiogram recordings

    Karen J. Mullinger;Paul S. Morgan;Richard W. Bowtell

  • Understanding gradient artefacts in simultaneous EEG/fMRI

    Winston X. Yan;Karen J. Mullinger;Matthew J. Brookes;Richard Bowtell

  • Physical modeling of pulse artefact sources in simultaneous EEG/fMRI.

    Winston X. Yan;Karen J. Mullinger;Gerda B. Geirsdottir;Richard Bowtell

  • Motion-related artefacts in EEG predict neuronally plausible patterns of activation in fMRI data.

    Marije Jansen;Thomas P. White;Karen J. Mullinger;Elizabeth B. Liddle

  • Modulation of post‐movement beta rebound by contraction force and rate of force development

    Adam Fry;Karen J. Mullinger;George C. O'Neill;Eleanor L. Barratt

  • Exploring the feasibility of simultaneous electroencephalography/functional magnetic resonance imaging at 7 T

    Karen Mullinger;Matthew Brookes;Claire Stevenson;Paul Morgan

  • Combining EEG and fMRI

    Karen Mullinger;Richard Bowtell

Frequent Co-Authors

Richard Bowtell
Richard Bowtell University of Nottingham
Matthew J. Brookes
Matthew J. Brookes University of Nottingham
Simon Hanslmayr
Simon Hanslmayr University of Glasgow
Andrew P. Bagshaw
Andrew P. Bagshaw University of Birmingham
Penny A. Gowland
Penny A. Gowland University of Nottingham
Lena Palaniyappan
Lena Palaniyappan McGill University
Peter F. Liddle
Peter F. Liddle University of Nottingham
Camillo Porcaro
Camillo Porcaro University of Padua
Mark W. Woolrich
Mark W. Woolrich University of Oxford
Gareth R. Barnes
Gareth R. Barnes University College London

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