World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
41
Citations
9242
World Ranking
7773
National Ranking
3336

Frank Q. Ye 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 Frank Q. Ye 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: 69 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Frank Q. Ye 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 Frank Q. Ye 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: 41 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Overview

Frank Q. Ye is affiliated with the National Institutes of Health in the United States and has made contributions across multiple areas of medical and neuroscience research. Their work primarily focuses on advanced neuroimaging techniques, with a strong emphasis on MRI methodologies and applications in brain connectivity and cancer diagnosis.

Their main fields of study include Medicine and Neuroscience. Within these fields, their research touches on several subfields such as Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pathology and Forensic Medicine, and Pediatrics, Perinatology and Child Health.

Key research topics covered in their publications consist of:

  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • MRI in cancer diagnosis
  • Neural dynamics and brain function
  • Face Recognition and Perception
  • Lanthanide and Transition Metal Complexes

Frequent coauthors who have collaborated with Frank Q. Ye include:

  • David A. Leopold
  • Cecil Chern-Chyi Yen
  • Colin Reveley
  • Daniel Glen
  • Afonso C. Silva

Their research has been published in various venues, with multiple papers appearing in the following journals:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • Nature Neuroscience
  • Nature Communications
  • Brain Structure and Function

Notable recent publications include:

  • "A resource for the detailed 3D mapping of white matter pathways in the marmoset brain," 2020, Nature Neuroscience
  • "High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology," 2021, NeuroImage
  • "Diffusion MRI anisotropy in the cerebral cortex is determined by unmyelinated tissue features," 2022, Nature Communications
  • "High-resolution cortical MAP-MRI reveals areal borders and laminar substructures observed with histological staining," 2022, NeuroImage
  • "Spatial organization of occipital white matter tracts in the common marmoset," 2020, Brain Structure and Function

Best Publications

  • Neural basis of global resting-state fMRI activity

    Marieke L. Schölvinck;Alexander Maier;Frank Q. Ye;Jeff H. Duyn

  • Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited

    Cibu Thomas;Cibu Thomas;Frank Q. Ye;M. Okan Irfanoglu;Pooja Modi

  • Superficial white matter fiber systems impede detection of long-range cortical connections in diffusion MR tractography

    Colin Reveley;Anil K. Seth;Carlo Pierpaoli;Afonso C. Silva

  • Noise reduction in 3D perfusion imaging by attenuating the static signal in arterial spin tagging (ASSIST).

    Frank Q. Ye;Joseph A. Frank;Daniel R. Weinberger;Alan C. McLaughlin

  • Investigation of low frequency drift in fMRI signal

    Anne M. Smith;Bobbi K. Lewis;Urs E. Ruttimann;Frank Q. Ye

  • Blindsight depends on the lateral geniculate nucleus

    Michael C. Schmid;Sylwia W. Mrowka;Janita Turchi;Richard C. Saunders

  • H215O PET validation of steady‐state arterial spin tagging cerebral blood flow measurements in humans

    Frank Q. Ye;Karen Faith Berman;Timothy Ellmore;Giuseppe Esposito

  • Tracking brain arousal fluctuations with fMRI

    Catie Chang;David A. Leopold;Marieke Louise Schölvinck;Hendrik Mandelkow

  • Divergence of fMRI and neural signals in V1 during perceptual suppression in the awake monkey.

    Alexander Maier;Melanie Wilke;Christopher Aura;Charles Zhu

  • Correction for vascular artifacts in cerebral blood flow values measured by using arterial spin tagging techniques

    Frank Q. Ye;Venkata S. Mattay;Peter Jezzard;Joseph A. Frank

  • Subcortical evidence for a contribution of arousal to fMRI studies of brain activity

    Xiao Liu;Xiao Liu;Jacco A. de Zwart;Marieke L. Schölvinck;Catie Chang

  • An Open Resource for Non-human Primate Imaging

    Michael P. Milham;Michael P. Milham;Lei Ai;Bonhwang Koo;Ting Xu

  • The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations

    Janita Turchi;Catie Chang;Frank Q. Ye;Brian E. Russ

  • A population MRI brain template and analysis tools for the macaque

    Jakob Seidlitz;Jakob Seidlitz;Caleb Sponheim;Daniel R. Glen;Frank Q. Ye

  • Three-Dimensional Digital Template Atlas of the Macaque Brain.

    Colin Reveley;Audrūnas Gruslys;Frank Q. Ye;Daniel Glen

  • A digital 3D atlas of the marmoset brain based on multi-modal MRI.

    Cirong Liu;Frank Q. Ye;Cecil Chern-Chyi Yen;John D. Newman

  • Multislice imaging of quantitative cerebral perfusion with pulsed arterial spin labeling.

    Yihong Yang;Joseph A. Frank;Lei Hou;Frank Q. Ye

  • Increased Signal Intensity in the Pulvinar on T1-Weighted Images: A Pathognomonic MR Imaging Sign of Fabry Disease

    David F. Moore;Frank Ye;Raphael Schiffmann;John A. Butman

  • Mapping the MRI voxel volume in which thermal noise matches physiological noise--implications for fMRI.

    Jerzy Bodurka;F. Ye;Natalia Petridou;Kevin Murphy

  • Whole-brain 3D perfusion MRI at 3.0 T using CASL with a separate labeling coil.

    S. Lalith Talagala;Frank Q. Ye;Patrick J. Ledden;Scott Chesnick

  • A resource for the detailed 3D mapping of white matter pathways in the marmoset brain.

    Cirong Liu;Cirong Liu;Frank Q. Ye;John D. Newman;Diego Szczupak;Diego Szczupak

Frequent Co-Authors

David A. Leopold
David A. Leopold National Institutes of Health
Joseph A. Frank
Joseph A. Frank National Institutes of Health
Venkata S. Mattay
Venkata S. Mattay Lieber Institute for Brain Development
Jeff H. Duyn
Jeff H. Duyn National Institutes of Health
Daniel R. Weinberger
Daniel R. Weinberger Johns Hopkins University
Yihong Yang
Yihong Yang National Institute on Drug Abuse
Afonso C. Silva
Afonso C. Silva University of Pittsburgh
Jakob Seidlitz
Jakob Seidlitz University of Pennsylvania
Rogier B. Mars
Rogier B. Mars University of Oxford
Winrich A. Freiwald
Winrich A. Freiwald Rockefeller University

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