World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
7426
World Ranking
7178
National Ranking
3103

Julia M. Stephen 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 Julia M. Stephen 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: 216 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Julia M. Stephen 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 Julia M. Stephen 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: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Julia M. Stephen is affiliated with the Mind Research Network in the United States. Their research spans multiple areas within neuroscience and medicine, with a focus on cognitive processes and brain imaging techniques.

The main fields of study for Julia M. Stephen include:

  • Neuroscience
  • Medicine

The subfields of study they have contributed to are:

  • Cognitive Neuroscience
  • Pediatrics, Perinatology and Child Health
  • Radiology, Nuclear Medicine and Imaging
  • Experimental and Cognitive Psychology
  • Behavioral Neuroscience

The main topics of their research work cover:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • Prenatal Substance Exposure Effects
  • Neonatal and fetal brain pathology
  • EEG and Brain-Computer Interfaces
  • Advanced MRI Techniques and Applications

Julia M. Stephen has published extensively, with notable recent papers including:

  • Non-Invasive Functional-Brain-Imaging with an OPM-based Magnetoencephalography System, 2020, PLoS ONE
  • Cross-Axis projection error in optically pumped magnetometers and its implication for magnetoencephalography systems, 2021, NeuroImage
  • Effect of alcohol on the central nervous system to develop neurological disorder: pathophysiological and lifestyle modulation can be potential therapeutic options for alcohol-induced neurotoxication, 2021, AIMS neuroscience
  • Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium, 2023, Proceedings of the National Academy of Sciences
  • Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition, 2021, IEEE Transactions on Medical Imaging

The venues where Julia M. Stephen has most frequently published include:

  • Developmental Cognitive Neuroscience
  • NeuroImage
  • Human Brain Mapping
  • arXiv (Cornell University)
  • IEEE Transactions on Biomedical Engineering

Frequent co-authors collaborating with Julia M. Stephen are:

  • Vince D. Calhoun
  • Tony W. Wilson
  • Yu-Ping Wang
  • Brittany K. Taylor
  • Giorgia Picci

Best Publications

  • Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

    Unknown

  • Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis

    Cota Navin Gupta;Vince Daniel Calhoun;Vince Daniel Calhoun;Vince Daniel Calhoun;Srinivas Rachakonda;Jiayu Chen

  • Replicability of time-varying connectivity patterns in large resting state fMRI samples.

    Anees Abrol;Anees Abrol;Eswar Damaraju;Robyn L. Miller;Julia M. Stephen

  • Multimodal Neuroimaging in Schizophrenia: Description and Dissemination.

    C. J. Aine;C. J. Aine;Henry Jeremy Bockholt;Henry Jeremy Bockholt;Juan R. Bustillo;José M. Cañive

  • A 20-Channel Magnetoencephalography System Based on Optically Pumped Magnetometers

    Amir Borna;Tony R. Carter;Anthony P. Colombo;Yuan-Yu Jau

  • A 20-channel magnetoencephalography system based on optically pumped magnetometers

    Amir Borna;Tony R Carter;Josh D Goldberg;Anthony P Colombo

  • Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across sensory paradigms in schizophrenia

    Mustafa S. Çetin;Fletcher Christensen;Christopher C. Abbott;Julia M. Stephen

  • Cross-Axis projection error in optically pumped magnetometers and its implication for magnetoencephalography systems

    Unknown

  • Resting state connectivity differences in eyes open versus eyes closed conditions

    Oktay Agcaoglu;Tony W. Wilson;Yu Ping Wang;Julia Stephen

  • Non-Invasive Functional-Brain-Imaging with an OPM-based Magnetoencephalography System.

    Amir Borna;Tony R. Carter;Anthony P. Colombo;Yuan-Yu Jau

  • Development of mu rhythm in infants and preschool children.

    M. Berchicci;T. Zhang;L. Romero;A. Peters

  • The spatial chronnectome reveals a dynamic interplay between functional segregation and integration.

    Armin Iraji;Thomas P Deramus;Noah Lewis;Maziar Yaesoubi

  • The lifespan trajectory of neural oscillatory activity in the motor system.

    Elizabeth C Heinrichs-Graham;Timothy J. McDermott;Mackenzie S. Mills;Alex I. Wiesman

  • Changing brain connectivity dynamics: From early childhood to adulthood.

    Ashkan Faghiri;Ashkan Faghiri;Julia M. Stephen;Yu Ping Wang;Tony W. Wilson

  • Maturation of somatosensory cortical processing from birth to adulthood revealed by magnetoencephalography.

    Elina Pihko;Elina Pihko;Päivi Nevalainen;Julia Stephen;Yoshio Okada;Yoshio Okada

  • Effect of alcohol on the central nervous system to develop neurological disorder: pathophysiological and lifestyle modulation can be potential therapeutic options for alcohol-induced neurotoxication.

    Zinia Pervin;Julia M Stephen

  • Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures.

    Mustafa S. Cetin;Jon M. Houck;Jon M. Houck;Barnaly Rashid;Barnaly Rashid;Oktay Agacoglu;Oktay Agacoglu

  • Delays in Auditory Processing Identified in Preschool Children with FASD

    Julia M. Stephen;Piyadasa W. Kodituwakku;Elizabeth L. Kodituwakku;Lucinda Romero

  • Multistart algorithms for MEG empirical data analysis reliably characterize locations and time courses of multiple sources.

    C. Aine;C. Aine;M. Huang;J. Stephen;R. Christner

  • Sources on the anterior and posterior banks of the central sulcus identified from magnetic somatosensory evoked responses using Multi-Start Spatio-Temporal localization

    Ming-Xiong Huang;Cheryl Aine;Larry Davis;John Butman

  • Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data

    Li Xiao;Junqi Wang;Peyman H. Kassani;Yipu Zhang

  • Aging-related changes in auditory and visual integration measured with MEG.

    Julia M. Stephen;Janice E. Knoefel;John Adair;Blaine Hart

  • Central versus peripheral visual field stimulation results in timing differences in dorsal stream sources as measured with MEG

    Julia M Stephen;Cheryl J Aine;Robert F Christner;Doug Ranken

  • Aging: compensation or maturation?

    Cheryl J. Aine;Chad C. Woodruff;Janice E. Knoefel;John C. Adair

Frequent Co-Authors

Vince D. Calhoun
Vince D. Calhoun Georgia State University
Andrew R. Mayer
Andrew R. Mayer Mind Research Network
Juan R. Bustillo
Juan R. Bustillo University of New Mexico
Jessica A. Turner
Jessica A. Turner The Ohio State University
Mingxiong Huang
Mingxiong Huang University of California, San Diego
Michael P. Weisend
Michael P. Weisend Mind Research Network
Vincent P. Clark
Vincent P. Clark University of New Mexico
Rex E. Jung
Rex E. Jung University of New Mexico
José M. Cañive
José M. Cañive University of New Mexico

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