World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
39
Citations
6129
World Ranking
8328
National Ranking
3562

Jesse A. Brown 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 Jesse A. Brown 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: 75 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Jesse A. Brown 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 Jesse A. Brown 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: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Overview

Jesse A. Brown is affiliated with the University of California, San Francisco in the United States. Their research spans multiple fields within medicine and neuroscience, focusing on neurodegenerative diseases, cognitive neuroscience, and advanced neuroimaging techniques.

Their main fields of study include:

  • Medicine
  • Neuroscience

Subfields of study encompass:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental health
  • Neurology
  • Radiation

The primary topics of their research work cover:

  • Functional Brain Connectivity Studies
  • Dementia and Cognitive Impairment Research
  • Advanced Neuroimaging Techniques and Applications
  • Alzheimer's disease research and treatments
  • Amyotrophic Lateral Sclerosis Research
  • Parkinson's Disease Mechanisms and Treatments
  • Nuclear reactor physics and engineering

Brown has contributed to a number of publication venues, most frequently in:

  • Alzheimer s & Dementia
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Neuron
  • NeuroImage Clinical
  • Frontiers in Aging Neuroscience

Significant recent papers include:

  • Prospective longitudinal atrophy in Alzheimer's disease correlates with the intensity and topography of baseline tau-PET (2020, Science Translational Medicine)
  • Regional Aβ-tau interactions promote onset and acceleration of Alzheimer's disease tau spreading (2022, Neuron)
  • Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight (2023, Nature reviews. Neuroscience)
  • Salience Network Atrophy Links Neuron Type-Specific Pathobiology to Loss of Empathy in Frontotemporal Dementia (2020, Cerebral Cortex)
  • Brainhack: Developing a culture of open, inclusive, community-driven neuroscience (2021, Neuron)

Frequent co-authors with whom Brown has collaborated include:

  • William W. Seeley
  • Howard J. Rosen
  • Bruce L. Miller
  • Lorenzo Pasquini
  • Alex J. Lee

Best Publications

  • Prospective longitudinal atrophy in Alzheimer’s disease correlates with the intensity and topography of baseline tau-PET

    Renaud La Joie;Adrienne V. Visani;Suzanne L. Baker;Jesse A. Brown

  • Altered functional and structural brain network organization in autism.

    J.D. Rudie;J.A. Brown;D. Beck-Pancer;L.M. Hernandez

  • Conserved and variable architecture of human white matter connectivity.

    Danielle S. Bassett;Jesse A. Brown;Vibhas Deshpande;Jean M. Carlson

  • Clinicopathological correlations in behavioural variant frontotemporal dementia.

    David C. Perry;Jesse A. Brown;Katherine L. Possin;Samir Datta

  • The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies as a Function of Age and is Associated with Changes in Episodic Memory and Processing Speed

    Adam M. Staffaroni;Jesse A. Brown;Kaitlin B. Casaletto;Fanny M. Elahi

  • Regional Aβ-tau interactions promote onset and acceleration of Alzheimer’s disease tau spreading

    Unknown

  • Brain network local interconnectivity loss in aging APOE-4 allele carriers

    Jesse A. Brown;Kevin H. Terashima;Alison C. Burggren;Linda M. Ercoli

  • Network degeneration and dysfunction in presymptomatic C9ORF72 expansion carriers

    Suzee E. Lee;Ana C. Sias;Maria Luisa Mandelli;Jesse A. Brown

  • Autism-Associated Promoter Variant in MET Impacts Functional and Structural Brain Networks

    Jeffrey D. Rudie;Leanna M. Hernandez;Jesse A. Brown;Devora Beck-Pancer

  • Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD

    Ariana E. Anderson;Pamela K. Douglas;Wesley T. Kerr;Virginia S. Haynes

  • Head module control of mediator interactions.

    Yuichiro Takagi;Guillermo Calero;Hirofumi Komori;Jesse A. Brown

  • The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis.

    Jesse A. Brown;Jeffrey D. Rudie;Anita E. Bandrowski;John D. Van Horn

  • Insights into multimodal imaging classification of ADHD.

    John B. Colby;Jeffrey D. Rudie;Jesse A. Brown;Pamela K. Douglas

  • Healthy brain connectivity predicts atrophy progression in non-fluent variant of primary progressive aphasia.

    Maria Luisa Mandelli;Eduard Vilaplana;Jesse A. Brown;H. Isabel Hubbard

  • Intrinsic functional brain architecture derived from graph theoretical analysis in the human fetus.

    Moriah E. Thomason;Moriah E. Thomason;Jesse A. Brown;Maya T. Dassanayake;Rupal Shastri

  • Altered structural brain connectivity in healthy carriers of the autism risk gene, CNTNAP2.

    Emily L. Dennis;Neda Jahanshad;Jeffrey D. Rudie;Jesse A. Brown

  • Patient-Tailored, Connectivity-Based Forecasts of Spreading Brain Atrophy.

    Jesse A. Brown;Jersey Deng;John Neuhaus;Isabel J. Sible

  • Reactions to Multiple Ascending Doses of the Microtubule Stabilizer TPI-287 in Patients With Alzheimer Disease, Progressive Supranuclear Palsy, and Corticobasal Syndrome: A Randomized Clinical Trial.

    Richard M. Tsai;Zachary Miller;Mary Koestler;Julio C. Rojas

  • Pomegranate Juice Augments Memory and fMRI Activity in Middle-Aged and Older Adults with Mild Memory Complaints

    Susan Y. Bookheimer;Susan Y. Bookheimer;Brian A. Renner;Brian A. Renner;Arne Ekstrom;Arne Ekstrom;Zhaoping Li;Zhaoping Li

  • Disconnection and hyper-connectivity underlie reorganization after TBI: A rodent functional connectomic analysis.

    N.G. Harris;D.R. Verley;B.A. Gutman;P.M. Thompson

  • Tau covariance patterns in Alzheimer's disease patients match intrinsic connectivity networks in the healthy brain.

    Rik Ossenkoppele;Rik Ossenkoppele;Rik Ossenkoppele;Leonardo Iaccarino;Daniel R. Schonhaut;Jesse A. Brown

  • Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease.

    Jun Pyo Kim;Jeonghun Kim;Yu Hyun Park;Seong Beom Park

Frequent Co-Authors

William W. Seeley
William W. Seeley University of California, San Francisco
Bruce L. Miller
Bruce L. Miller University of California, San Francisco
Joel H. Kramer
Joel H. Kramer University of California, San Francisco
Howard J. Rosen
Howard J. Rosen University of California, San Francisco
Katherine P. Rankin
Katherine P. Rankin University of California, San Francisco
Gil D. Rabinovici
Gil D. Rabinovici University of California, San Francisco
Maria Luisa Gorno-Tempini
Maria Luisa Gorno-Tempini University of California, San Francisco
Lea T. Grinberg
Lea T. Grinberg University of California, San Francisco
Giovanni Coppola
Giovanni Coppola University of California, Los Angeles
Susan Y. Bookheimer
Susan Y. Bookheimer University of California, Los Angeles

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Related Online Degrees & Career Pathways

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