World's Best Scientists 2026 revealed!
Jean C. Augustinack

Jean C. Augustinack

D-Index & Metrics

Neuroscience

D-Index
44
Citations
11657
World Ranking
7057
National Ranking
3048

Jean C. Augustinack 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 Jean C. Augustinack 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: 110 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Jean C. Augustinack 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 Jean C. Augustinack 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

Jean C. Augustinack is affiliated with Harvard University in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a particular focus on subfields such as Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Biophysics, Neurology, and Physiology.

Their work covers a range of topics within advanced neuroimaging and neurological research, including:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Alzheimer's disease research and treatments
  • Neuroscience and Neuropharmacology Research
  • Memory and Neural Mechanisms
  • Optical Coherence Tomography Applications

Augustinack has published extensively across several venues, with a significant number of publications in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Alzheimer s & Dementia
  • NeuroImage
  • Human Brain Mapping
  • Frontiers in Neuroscience

Notable recent publications include:

  • "The cortical origin and initial spread of medial temporal tauopathy in Alzheimer's disease assessed with positron emission tomography," 2021, Science Translational Medicine
  • "Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome," 2021, NeuroImage
  • "FreeSurfer-based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts," 2020, Human Brain Mapping
  • "A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images," 2021, NeuroImage
  • "Insight into the fundamental trade-offs of diffusion MRI from polarization-sensitive optical coherence tomography in ex vivo human brain," 2020, NeuroImage

Frequent collaborators in Augustinack's research include Bruce Fischl, Juan Eugenio Iglesias, Matthew P. Frosch, Caroline Magnain, and Hui Wang.

Best Publications

  • A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

    Juan Eugenio Iglesias;Jean C. Augustinack;Khoa Nguyen;Christopher M. Player

  • Specific tau phosphorylation sites correlate with severity of neuronal cytopathology in Alzheimer's disease.

    Jean C. Augustinack;Anja Schneider;Eva-Maria Mandelkow;Bradley T. Hyman

  • Cortical Folding Patterns and Predicting Cytoarchitecture

    Bruce Fischl;Bruce Fischl;Niranjini Rajendran;Evelina Busa;Jean Augustinack

  • Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy.

    Anastasia Yendiki;Patricia Panneck;Priti Srinivasan;Allison Stevens

  • Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI

    Koen Van Leemput;Koen Van Leemput;Akram Bakkour;Thomas Benner;Graham Wiggins

  • High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.

    Z.M. Saygin;D. Kliemann;J.E. Iglesias;A.J.W. van der Kouwe

  • Caspase activation and neuroprotection in caspase-3- deficient mice after in vivo cerebral ischemia and in vitro oxygen glucose deprivation

    Dean A. Le;Yongqin Wu;Zhihong Huang;Kohji Matsushita

  • Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report.

    Brian J. Bacskai;Matthew P. Frosch;Stefanie H. Freeman;Scott B. Raymond

  • Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

    Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender

  • Differential effects of aging and Alzheimer's disease on medial temporal lobe cortical thickness and surface area

    Bradford Clark Dickerson;Eric Feczko;Jean C. Augustinack;Jenni Pacheco

  • Evaluating the validity of volume-based and surface-based brain image registration for developmental cognitive neuroscience studies in children 4 to 11 years of age

    Satrajit S Ghosh;Sita Kakunoori;Jean C. Augustinack;Alfonso Nieto-Castanon

  • 7 Tesla MRI of the ex vivo human brain at 100 micron resolution

    Brian L. Edlow;Azma Mareyam;Andreas Horn;Jonathan R. Polimeni

  • Accurate prediction of V1 location from cortical folds in a surface coordinate system

    Oliver P. Hinds;Niranjini Rajendran;Jonathan R. Polimeni;Jean C. Augustinack

  • The Parahippocampal Gyrus in Alzheimer's Disease: Clinical and Preclinical Neuroanatomical Correlates

    Gary W. Van Hoesen;Jean C. Augustinack;Jason Dierking;Sarah J. Redman

  • Effects of frequent marijuana use on brain tissue volume and composition

    Robert Block;Daniel O'Leary;James Ehrhardt;Jean Augustinack

  • Effects of frequent marijuana use on memory-related regional cerebral blood flow

    Robert I Block;Daniel S O'Leary;Richard D Hichwa;Jean C Augustinack

  • The cortical origin and initial spread of medial temporal tauopathy in Alzheimer's disease assessed with positron emission tomography.

    Justin S. Sanchez;J. Alex Becker;Heidi I. L. Jacobs;Bernard J. Hanseeuw

  • Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.

    Juan Eugenio Iglesias;Koen Van Leemput;Jean Augustinack;Ricardo Insausti

  • A harmonized segmentation protocol for hippocampal and parahippocampal subregions: Why do we need one and what are the key goals?

    Laura E. M. Wisse;Ana M. Daugherty;Rosanna K. Olsen;David Berron

  • Surface based analysis of diffusion orientation for identifying architectonic domains in the in vivo human cortex.

    Jennifer A. McNab;Jennifer A. McNab;Jonathan R. Polimeni;Ruopeng Wang;Jean C. Augustinack

  • Connectivity-based segmentation of human amygdala nuclei using probabilistic tractography

    Zeynep M. Saygin;David E. Osher;Jean Augustinack;Bruce Fischl

  • Cortical Folding Patterns and Predicting Cytoarchitecture

    B. Fischl;N. Rajendran;E. Busa;J. Augustinack

Frequent Co-Authors

Bruce Fischl
Bruce Fischl Harvard University
Lawrence L. Wald
Lawrence L. Wald Harvard University
Matthew P. Frosch
Matthew P. Frosch Harvard University
David A. Boas
David A. Boas Boston University
André J. W. van der Kouwe
André J. W. van der Kouwe Harvard University
Bradley T. Hyman
Bradley T. Hyman Harvard University
Koen Van Leemput
Koen Van Leemput Harvard University
Anastasia Yendiki
Anastasia Yendiki Harvard University
David H. Salat
David H. Salat Harvard University
Katrin Amunts
Katrin Amunts Forschungszentrum Jülich

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