World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
46
Citations
24256
World Ranking
6557
National Ranking
2844

Philip A. Cook 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 Philip A. Cook 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: 116 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Philip A. Cook 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 Philip A. Cook 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: 46 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Philip A. Cook is affiliated with the University of Pennsylvania in the United States. Their research spans the fields of Medicine and Neuroscience, with a strong focus on subfields such as Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Psychiatry and Mental Health, and Physiology.

Their work extensively covers topics including Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Dementia and Cognitive Impairment Research, Alzheimer's Disease research and treatments, Parkinson's Disease Mechanisms and Treatments, and various Mental Health Research Topics.

Recent publications by Philip A. Cook include:

  • The ANTsX ecosystem for quantitative biological and medical imaging, 2021, Scientific Reports
  • QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data, 2021, Nature Methods
  • Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data, 2020, NeuroImage
  • Mitigating site effects in covariance for machine learning in neuroimaging data, 2021, Human Brain Mapping
  • Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure, 2021, Translational Psychiatry

Frequent co-authors collaborating with Philip A. Cook include:

  • James C. Gee
  • Corey T. McMillan
  • Theodore D. Satterthwaite
  • David J. Irwin
  • Jeffrey S. Phillips

Their work has been published repeatedly in certain venues, notably:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer s & Dementia
  • Human Brain Mapping
  • Scientific Reports
  • NeuroImage Clinical

Best Publications

  • A reproducible evaluation of ANTs similarity metric performance in brain image registration.

    Brian B. Avants;Nicholas J. Tustison;Gang Song;Philip A. Cook

  • Harmonization of cortical thickness measurements across scanners and sites.

    Jean-Philippe Fortin;Nicholas C. Cullen;Yvette I. Sheline;Warren D. Taylor

  • Evidence for segregated and integrative connectivity patterns in the human Basal Ganglia.

    Bogdan Draganski;Ferath Kherif;Stefan Klöppel;Philip A Cook

  • Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.

    Nicholas J. Tustison;Philip A. Cook;Arno Klein;Gang Song

  • Camino: diffusion MRI reconstruction and processing

    PA Cook;Y Bai;MG Hall;S Nedjati-Gilani

  • An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

    Brian B. Avants;Nicholas J. Tustison;Jue Wu;Philip A. Cook

  • 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

  • Quantitative assessment of structural image quality.

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

  • Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data.

    Meichen Yu;Kristin A. Linn;Philip A. Cook;Mary L. Phillips

  • 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

  • Mitigating head motion artifact in functional connectivity MRI

    Rastko Ciric;Adon F. G. Rosen;Guray Erus;Matthew Cieslak

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

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

  • Medial temporal structures and memory functions in adolescents with heavy cannabis use

    Manzar Ashtari;Brian Avants;Laura Cyckowski;Kelly L. Cervellione

  • Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data.

    Joanne C. Beer;Nicholas J. Tustison;Philip A. Cook;Christos Davatzikos

  • Childhood trauma history is linked to abnormal brain connectivity in major depression.

    Meichen Yu;Kristin A. Linn;Russell T. Shinohara;Desmond J. Oathes

  • Heteromodal conceptual processing in the angular gyrus.

    Michael F. Bonner;Jonathan E. Peelle;Philip A. Cook;Murray Grossman

  • White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease

    Stefan Klöppel;Bogdan Draganski;Charlotte V. Golding;Carlton Chu

  • Dementia Induces Correlated Reductions in White Matter Integrity and Cortical Thickness: A Multivariate Neuroimaging Study with Sparse Canonical Correlation Analysis

    Brian B. Avants;Philip A. Cook;Lyle H. Ungar;James C. Gee

  • Cognitive decline and reduced survival in C9orf72 expansion frontotemporal degeneration and amyotrophic lateral sclerosis

    David J. Irwin;Corey T. McMillan;Johannes Brettschneider;Johannes Brettschneider;David J. Libon;David J. Libon

  • Optimal acquisition orders of diffusion-weighted MRI measurements.

    Philip A. Cook;Mark Symms;Philip A. Boulby;Daniel C. Alexander

  • Evidence for segregated and integrative connectivity patterns in the human basal ganglia

    Bogdan Draganski;F Kherif;Stefan Klöppel;PA Cook

Frequent Co-Authors

James C. Gee
James C. Gee University of Pennsylvania
Theodore D. Satterthwaite
Theodore D. Satterthwaite University of Pennsylvania
Russell T. Shinohara
Russell T. Shinohara University of Pennsylvania
Brian B. Avants
Brian B. Avants University of Virginia
David R. Roalf
David R. Roalf University of Pennsylvania
Murray Grossman
Murray Grossman University of Pennsylvania
Corey T. McMillan
Corey T. McMillan University of Pennsylvania
Daniel C. Alexander
Daniel C. Alexander University College London
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Raquel E. Gur
Raquel E. Gur University of Pennsylvania

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Related Online Degrees & Career Pathways

For students fascinated by neuroscience, there are a variety of related online degrees and professional pathways that can expand your expertise and open new career opportunities. Many individuals combine their neuroscience background with counseling, psychology, or therapy, applying brain science to real-world challenges.

One popular route is exploring cacrep accredited online programs, which ensure counseling degrees meet high educational standards. Those interested in providing mental health support can consider online counseling programs that are flexible and affordable.

Another related pathway is training in family dynamics and therapy through an family therapy degree, ideal for those drawn to improving relationships and supporting families. If you are looking to deepen your psychological knowledge with a broader base, an affordable online masters in psychology can provide valuable skills for careers in research, therapy, or academic roles.

Combining neuroscience with these related degrees can help you qualify for diverse roles in healthcare, education, social services, and research, making your skillset even more versatile in today’s job market.

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