World's Best Scientists 2026 revealed!
Ronald J. Killiany

Ronald J. Killiany

D-Index & Metrics

Neuroscience

D-Index
76
Citations
51699
World Ranking
1881
National Ranking
900

Ronald J. Killiany 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 Ronald J. Killiany 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: 252 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Ronald J. Killiany 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 Ronald J. Killiany 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: 76 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Ronald J. Killiany is affiliated with Boston University in the United States, focusing primarily on research related to medicine and neuroscience. Their work spans various main fields of study, with a significant number of publications in medicine and neuroscience.

The scientific contributions include extensive research in subfields such as cognitive neuroscience, psychiatry and mental health, physiology, radiology, nuclear medicine and imaging, and neurology. Killiany's investigations cover major topics including dementia and cognitive impairment research, Alzheimer's disease research and treatments, functional brain connectivity studies, advanced neuroimaging techniques and applications, traumatic brain injury research, memory and neural mechanisms, and the neurovascular disturbances associated with traumatic brain injuries.

Their recent papers reflect this multidisciplinary approach and have been published in prominent journals. Notable examples are:

  • The cortical origin and initial spread of medial temporal tauopathy in Alzheimer's disease assessed with positron emission tomography, 2021, Science Translational Medicine
  • Enhancing magnetic resonance imaging-driven Alzheimer's disease classification performance using generative adversarial learning, 2021, Alzheimer s Research & Therapy
  • A longitudinal examination of plasma neurofilament light and total tau for the clinical detection and monitoring of Alzheimer's disease, 2020, Neurobiology of Aging
  • Structural MRI profiles and tau correlates of atrophy in autopsy-confirmed CTE, 2021, Alzheimer s Research & Therapy
  • Impact of C-Reactive Protein on Cognition and Alzheimer Disease Biomarkers in Homozygous APOE ɛ4 Carriers, 2021, Neurology

Killiany collaborates frequently with a number of co-authors, including Jesse Mez, Michael L. Alosco, Yorghos Tripodis, Robert A. Stern, and Lee E. Goldstein. These collaborations have resulted in numerous joint publications and research efforts.

The research outputs are often disseminated in reputable venues such as Alzheimer s & Dementia, Neurobiology of Aging, Journal of Alzheimer s Disease, Neurology, and Behavioral Neuroscience. The distribution of publications indicates a strong presence in journals relevant to neurodegenerative diseases and brain aging.

Best Publications

  • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

    Rahul S. Desikan;Florent Ségonne;Bruce Fischl;Bruce Fischl;Brian T. Quinn

  • Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

    Bruce Fischl;David H. Salat;Evelina Busa;Marilyn Albert

  • The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

    Clifford R. Jack;Matt A. Bernstein;Nick C. Fox;Paul Thompson

  • Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer.

    Xiao Han;Jorge Jovicich;David Salat;Andre van der Kouwe

  • Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

    Y. Iturria-Medina;R. C. Sotero;P. J. Toussaint;J. M. Mateos-Pérez

  • Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease.

    Ronald J. Killiany;Teresa Gomez-Isla;Mark Moss;Ron Kikinis

  • MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths

    Jorge Jovicich;Silvester Czanner;Xiao Han;David H. Salat

  • MRI measures of entorhinal cortex vs hippocampus in preclinical AD.

    R. J. Killiany;B. T. Hyman;T. Gomez-Isla;M. B. Moss

  • Four distinct trajectories of tau deposition identified in Alzheimer’s disease

    Jacob W Vogel;Alexandra L Young;Neil P Oxtoby;Ruben Smith

  • Medial temporal lobe function and structure in mild cognitive impairment

    Bradford C. Dickerson;David H. Salat;Julianna F. Bates;Monika Atiya

  • Thalamic atrophy and cognition in multiple sclerosis

    M. K. Houtchens;R.H.B. Benedict;R. Killiany;J. Sharma

  • White matter changes with normal aging

    C.R.G. Guttmann;F. A. Jolesz;R. Kikinis;R. J. Killiany

  • Spread of pathological tau proteins through communicating neurons in human Alzheimer's disease

    Jacob W. Vogel;Yasser Iturria-Medina;Olof T. Strandberg;Ruben Smith

  • Temporal Lobe Regions on Magnetic Resonance Imaging Identify Patients With Early Alzheimer's Disease

    Ronald J. Killiany;Mark B. Moss;Marilyn S. Albert;Tamas Sandor

  • Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults

    B.C. Dickerson;T.R. Stoub;R.C. Shah;R.A. Sperling

  • Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative

    C.R. Jack;M.A. Bernstein;B.J. Borowski;J.L. Gunter

  • Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease

    Unknown

  • Patterns of cognitive decline in aged rhesus monkeys.

    James G Herndon;Mark B Moss;Mark B Moss;Douglas L Rosene;Douglas L Rosene;Ronald J Killiany

  • Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology.

    Taylor W. Schmitz;R. Nathan Spreng;Michael W. Weiner;Paul Aisen

  • Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths.

    B.C. Dickerson;E. Fenstermacher;D.H. Salat;D.A. Wolk

  • Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE

    Alzheimer's Disease Neuroimaging Initiative

  • Detection of cortical thickness correlates of cognitive performance

    B. C. Dickerson;E. Fenstermacher;R. Desikan;J. Pacheco

Frequent Co-Authors

Douglas L. Rosene
Douglas L. Rosene Boston University
Mark B. Moss
Mark B. Moss Boston University
Marilyn S. Albert
Marilyn S. Albert Johns Hopkins University School of Medicine
Charles DeCarli
Charles DeCarli University of California, Davis
George Bartzokis
George Bartzokis University of California, Los Angeles
Bruce Fischl
Bruce Fischl Harvard University
Anders M. Dale
Anders M. Dale J. Craig Venter Institute
Leyla deToledo-Morrell
Leyla deToledo-Morrell Rush University Medical Center
Clifford R. Jack
Clifford R. Jack Mayo Clinic
Reisa A. Sperling
Reisa A. Sperling Brigham and Women's Hospital

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