World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 39 8328 7693 3562 3222 75 6129

Jesse A. Brown publications per year

The chart shows the history of publications by Jesse A. Brown between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jesse A. Brown published across 20 years, from 2006 to 2025, averaging 5.6 papers a year. Output peaked at 14 publications in 2023. 13 of the 111 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2023. 2006: 1 publication 2007: 1 publication 2008: 0 publications 2009: 1 publication 2010: 1 publication 2011: 3 publications 2012: 4 publications 2013: 3 publications 2014: 3 publications 2015: 1 publication 2016: 9 publications 2017: 8 publications 2018: 8 publications 2019: 10 publications 2020: 12 publications 2021: 6 publications 2022: 13 publications 2023: 14 publications 2024: 7 publications 2025: 6 publications
2006 2025

111 publications in total across all disciplines

View publications per year as a table
Jesse A. Brown: publications per year, 2006 to 2025
Year Publications
2006 1
2007 1
2008 0
2009 1
2010 1
2011 3
2012 4
2013 3
2014 3
2015 1
2016 9
2017 8
2018 8
2019 10
2020 12
2021 6
2022 13
2023 14
2024 7
2025 6
Total 111
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 68–77 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 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.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323 75
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
Download as CSV

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.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459 39
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
Download as CSV

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

  • 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

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Neuroscience in the USA opens doors to a variety of promising career pathways. Some of the most lucrative majors include fields related to neuroscience, such as biomedical engineering, computer science, and cognitive science. These disciplines not only offer strong salaries but also allow for contributions to innovative medical research and technology.

For students looking for flexible learning options, many accredited institutions offer distance learning. It’s important to explore online schools that accept fafsa which can reduce your educational costs through federal financial aid.

In addition to full degrees, there are online certificate programs that pay well and can boost your qualifications, especially in healthcare analytics or clinical research. If you’re looking for accessible options, consider some of the easiest bachelor degree to get online while building your foundation before specializing further in neuroscience.

Best Scientists Citing Jesse A. Brown

Trending Scientists

Recently Published Articles