World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
68
Citations
17242
World Ranking
2745
National Ranking
1284

David R. Roalf 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 David R. Roalf 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: 249 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

David R. Roalf 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 David R. Roalf 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: 68 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

David R. Roalf is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with significant contributions in subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Experimental and Cognitive Psychology, and Molecular Biology.

The scientist's work covers numerous main topics including:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Congenital heart defects research
  • Schizophrenia research and treatment

Frequent publication venues for David R. Roalf include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biological Psychiatry
  • Human Brain Mapping
  • Developmental Cognitive Neuroscience
  • American Journal of Psychiatry

Recent notable papers by David R. Roalf include:

  • Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology, 2021, Neuron
  • QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data, 2021, Nature Methods
  • Individual Variation in Functional Topography of Association Networks in Youth, 2020, Neuron
  • Intrinsic activity development unfolds along a sensorimotor-association cortical axis in youth, 2023, Nature Neuroscience
  • International consensus statement on allergy and rhinology: Olfaction, 2022, International Forum of Allergy & Rhinology

David R. Roalf has collaborated extensively with several researchers, frequently co-authoring papers with:

  • Raquel E. Gur
  • Theodore D. Satterthwaite
  • Ruben C. Gur
  • Tyler M. Moore
  • Daniel H. Wolf

Best Publications

  • Harmonization of multi-site diffusion tensor imaging data.

    Jean-Philippe Fortin;Drew Parker;Birkan Tunç;Takanori Watanabe

  • Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.

    Rastko Ciric;Daniel H. Wolf;Jonathan D. Power;David R. Roalf

  • Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

    S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov

  • Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology.

    Valerie J. Sydnor;Bart Larsen;Danielle S. Bassett;Aaron Alexander-Bloch;Aaron Alexander-Bloch

  • Development of structure–function coupling in human brain networks during youth

    Graham L. Baum;Graham L. Baum;Zaixu Cui;Zaixu Cui;David R. Roalf;David R. Roalf;Rastko Ciric

  • Linked dimensions of psychopathology and connectivity in functional brain networks.

    Cedric Huchuan Xia;Zongming Ma;Rastko Ciric;Shi Gu;Shi Gu

  • Comparative accuracies of two common screening instruments for classification of Alzheimer's disease, mild cognitive impairment, and healthy aging.

    David R. Roalf;Paul J. Moberg;Sharon X. Xie;David A. Wolk

  • Quantitative assessment of structural image quality.

    Adon F.G. Rosen;David R. Roalf;Kosha Ruparel;Jason Blake

  • Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth

    Graham L. Baum;Rastko Ciric;David R. Roalf;Richard F. Betzel

  • The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth.

    Theodore D. Satterthwaite;John J. Connolly;Kosha Ruparel;Monica E. Calkins

  • Linked Sex Differences in Cognition and Functional Connectivity in Youth

    Theodore D. Satterthwaite;Daniel H. Wolf;David R. Roalf;Kosha Ruparel

  • Functional maturation of the executive system during adolescence.

    Theodore D. Satterthwaite;Daniel H. Wolf;Guray Erus;Kosha Ruparel

  • QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data.

    Matthew Cieslak;Philip A. Cook;Xiaosong He;Fang Cheng Yeh

  • The Philadelphia Neurodevelopmental Cohort: constructing a deep phenotyping collaborative

    Monica E. Calkins;Kathleen R. Merikangas;Tyler M. Moore;Marcy Burstein

  • Individual Variation in Functional Topography of Association Networks in Youth

    Zaixu Cui;Hongming Li;Cedric H. Xia;Bart Larsen

  • Developmental increases in white matter network controllability support a growing diversity of brain dynamics.

    Evelyn Tang;Chad Giusti;Graham L. Baum;Shi Gu

  • Impact of puberty on the evolution of cerebral perfusion during adolescence

    Theodore D. Satterthwaite;Russell T. Shinohara;Daniel H. Wolf;Ryan D. Hopson

  • Common and Dissociable Mechanisms of Executive System Dysfunction Across Psychiatric Disorders in Youth.

    Sheila Shanmugan;Daniel H. Wolf;Monica E. Calkins;Tyler M. Moore

  • Burden of Environmental Adversity Associated With Psychopathology, Maturation, and Brain Behavior Parameters in Youths.

    Raquel E Gur;Raquel E Gur;Tyler M Moore;Tyler M Moore;Adon F G Rosen;Adon F G Rosen;Ran Barzilay

  • The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-scale population-based cohort

    David R. Roalf;Megan Quarmley;Mark A. Elliott;Theodore D. Satterthwaite

Frequent Co-Authors

Ruben C. Gur
Ruben C. Gur University of Pennsylvania
Raquel E. Gur
Raquel E. Gur University of Pennsylvania
Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Kosha Ruparel
Kosha Ruparel University of Pennsylvania
Tyler M. Moore
Tyler M. Moore University of Pennsylvania
Monica E. Calkins
Monica E. Calkins University of Pennsylvania
Daniel H. Wolf
Daniel H. Wolf University of Pennsylvania
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania
Mark A. Elliott
Mark A. Elliott University of Pennsylvania

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