World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
51
Citations
12106
World Ranking
5460
National Ranking
445

Rosalyn J. Moran 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 Rosalyn J. Moran 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: 149 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Rosalyn J. Moran 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 Rosalyn J. Moran 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: 51 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Rosalyn J. Moran is affiliated with King's College London in the United Kingdom. Their research spans multiple domains within neuroscience and medicine, with a focus on neural dynamics, brain function, and epidemiological studies related to COVID-19.

The main fields of study for this scientist include:

  • Neuroscience
  • Medicine

Within these broad fields, Moran's work concentrates on several subfields, such as:

  • Cognitive Neuroscience
  • Modeling and Simulation
  • Epidemiology
  • Infectious Diseases
  • Radiology, Nuclear Medicine and Imaging

The primary research topics covered are:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • COVID-19 epidemiological studies
  • Influenza Virus Research Studies
  • SARS-CoV-2 and COVID-19 Research
  • Embodied and Extended Cognition
  • Neuroscience and Music Perception

Moran has contributed to numerous publications, frequently appearing in specific venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Wellcome Open Research
  • Scientific Reports
  • NeuroImage

Frequent co-authors collaborating with Moran include:

  • Karl Friston
  • Robert Leech
  • Thomas Parr
  • Jean Daunizeau
  • Erik D. Fagerholm

Some of the recent scientific papers associated with Rosalyn J. Moran are:

  • Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics (2021), published in Nature Neuroscience
  • Dynamic causal modelling of COVID-19 (2020), published in DOAJ (DOAJ: Directory of Open Access Journals)
  • World model learning and inference (2021), published in Neural Networks
  • Second waves, social distancing, and the spread of COVID-19 across America (2020), published in Wellcome Open Research
  • Parallel cortical-brainstem pathways to attentional analgesia (2020), published in NeuroImage

Best Publications

  • Bayesian model selection for group studies.

    Klaas Enno Stephan;Will D. Penny;Jean Daunizeau;Rosalyn J. Moran

  • Ten simple rules for dynamic causal modeling.

    K.E. Stephan;K.E. Stephan;W.D. Penny;R.J. Moran;H.E.M. den Ouden

  • Analysing connectivity with Granger causality and dynamic causal modelling.

    Karl Friston;Rosalyn J Moran;Anil K Seth

  • Broadband Cortical Desynchronization Underlies the Human Psychedelic State

    Suresh D Muthukumaraswamy;Robin L Carhart-Harris;Rosalyn J Moran;Matthew J Brookes

  • Dynamic causal modelling for EEG and MEG

    Stefan J. Kiebel;Marta I. Garrido;Rosalyn J. Moran;Karl J. Friston

  • Dopamine, affordance and active inference.

    Karl J. Friston;Tamara Shiner;Thomas H. B. FitzGerald;Joseph M. Galea

  • Free Energy, Precision and Learning: The Role of Cholinergic Neuromodulation

    Rosalyn J Moran;Pablo Campo;Pablo Campo;Mkael Symmonds;Klaas E Stephan;Klaas E Stephan;Klaas E Stephan

  • Connectivity Changes Underlying Spectral EEG Changes during Propofol-Induced Loss of Consciousness

    Mélanie Boly;Rosalyn J Moran;Michael Murphy;Pierre Boveroux

  • Neural masses and fields in dynamic causal modeling

    Rosalyn J Moran;Rosalyn J Moran;Dimitris A Pinotsis;Karl J Friston

  • Dynamic causal modeling for EEG and MEG.

    Stefan J Kiebel;Marta I Garrido;Rosalyn J Moran;Chun-Chuan Chen

  • A neural mass model of spectral responses in electrophysiology

    Rosalyn J. Moran;Stefan J. Kiebel;Klaas E. Stephan;R. B. Reilly

  • Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on 'effective' connectivity.

    Joshua Kahan;Maren Urner;Rosalyn J Moran;Rosalyn J Moran;Guillaume Flandin

  • Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics

    James M. Shine;Eli J. Müller;Brandon Munn;Joana Cabral

  • Evidence that Subanesthetic Doses of Ketamine Cause Sustained Disruptions of NMDA and AMPA-Mediated Frontoparietal Connectivity in Humans

    Suresh D Muthukumaraswamy;Alexander D Shaw;Laura E Jackson;Judith Hall

  • Alterations in brain connectivity underlying beta oscillations in Parkinsonism.

    Rosalyn J. Moran;Nicolas Mallet;Vladimir Litvak;Raymond J. Dolan

  • Dynamic causal models of steady-state responses.

    Rosalyn J. Moran;Klaas E. Stephan;Klaas E. Stephan;T. Seidenbecher;H.-C. Pape

  • Tractography-based priors for dynamic causal models

    Klaas Enno Stephan;Marc Tittgemeyer;Thomas R. Knösche;Rosalyn J. Moran

  • Computational neuroimaging strategies for single patient predictions

    Klaas E. Stephan;Klaas E. Stephan;Klaas E. Stephan;Florian Schlagenhauf;Florian Schlagenhauf;Quentin J. M. Huys;Quentin J. M. Huys;Sudhir Raman

  • Telephony-based voice pathology assessment using automated speech analysis

    R.J. Moran;R.B. Reilly;P. de Chazal;P.D. Lacy

  • A DCM study of spectral asymmetries in feedforward and feedback connections between visual areas V1 and V4 in the monkey.

    André M. Bastos;Vladimir Litvak;Rosalyn J. Moran;Conrado A. Bosman;Conrado A. Bosman

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Klaas E. Stephan
Klaas E. Stephan University of Zurich
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Robert Leech
Robert Leech King's College London
Raymond J. Dolan
Raymond J. Dolan University College London
Adeel Razi
Adeel Razi Monash University
Richard B. Reilly
Richard B. Reilly Trinity College Dublin
Vladimir Litvak
Vladimir Litvak University College London
Suresh D. Muthukumaraswamy
Suresh D. Muthukumaraswamy University of Auckland
Fritjof Helmchen
Fritjof Helmchen University of Zurich

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