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Neuroscience
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 162 102 90 65 56 953 116909
Medicine 163 675 617 389 347 961 117594

Charles DeCarli publications per year

The chart shows the history of publications by Charles DeCarli between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Charles DeCarli published across 39 years, from 1987 to 2025, averaging 24.1 papers a year. Output peaked at 66 publications in 2012. 30 of the 941 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2012. 1987: 1 publication 1988: 0 publications 1989: 0 publications 1990: 3 publications 1991: 5 publications 1992: 6 publications 1993: 7 publications 1994: 4 publications 1995: 6 publications 1996: 7 publications 1997: 3 publications 1998: 4 publications 1999: 7 publications 2000: 17 publications 2001: 4 publications 2002: 8 publications 2003: 11 publications 2004: 16 publications 2005: 14 publications 2006: 20 publications 2007: 13 publications 2008: 46 publications 2009: 42 publications 2010: 36 publications 2011: 32 publications 2012: 66 publications 2013: 54 publications 2014: 49 publications 2015: 54 publications 2016: 51 publications 2017: 65 publications 2018: 54 publications 2019: 62 publications 2020: 64 publications 2021: 63 publications 2022: 8 publications 2023: 9 publications 2024: 21 publications 2025: 9 publications
1987 2025

941 publications in total across all disciplines

View publications per year as a table
Charles DeCarli: publications per year, 1987 to 2025
Year Publications
1987 1
1988 0
1989 0
1990 3
1991 5
1992 6
1993 7
1994 4
1995 6
1996 7
1997 3
1998 4
1999 7
2000 17
2001 4
2002 8
2003 11
2004 16
2005 14
2006 20
2007 13
2008 46
2009 42
2010 36
2011 32
2012 66
2013 54
2014 49
2015 54
2016 51
2017 65
2018 54
2019 62
2020 64
2021 63
2022 8
2023 9
2024 21
2025 9
Total 941
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Charles DeCarli 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 Charles DeCarli 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, 887+ 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: 953 publications — 99th percentile

99% 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
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+ 100 953
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Charles DeCarli 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 Charles DeCarli 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, 162 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: 162 D-Index — 99th percentile

99% 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
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 8 162
163+ 100
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Research.com Recognitions

  • 2026 - Research.com Neuroscience in United States Leader Award
  • 2025 - Research.com Neuroscience in United States Leader Award
  • 2010 - J. Allyn Taylor International Prize in Medicine, Robarts Research Institute

Overview

Charles DeCarli is affiliated with the University of California, Davis in the United States. Their research work primarily spans the fields of Medicine and Neuroscience, with significant contributions focused on Psychiatry and Mental Health, Physiology, Neurology, Cognitive Neuroscience, and Radiology, Nuclear Medicine and Imaging.

The scientist's main research topics include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's Disease Research and Treatments
  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Neurological Disease Mechanisms and Treatments
  • Bioinformatics and Genomic Networks
  • Cerebrovascular and Carotid Artery Diseases

Recent papers authored or co-authored by Charles DeCarli include:

  • Functional brain architecture is associated with the rate of tau accumulation in Alzheimer's disease, 2020, Nature Communications
  • In vivo staging of regional amyloid deposition, 2022, Columbia Academic Commons (Columbia University)
  • Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer's Pathophysiology, 2020, Scientific Reports
  • Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer's disease, 2022, Nature Communications
  • Divergent Cortical Tau Positron Emission Tomography Patterns Among Patients With Preclinical Alzheimer Disease, 2022, JAMA Neurology

Charles DeCarli has frequently published in the following venues:

  • Alzheimer s & Dementia
  • JAMA Neurology
  • Scientific Reports
  • Nature Communications
  • Translational Psychiatry

Frequent co-authors in their research include:

  • Michael Donohue
  • John C. Morris
  • Laurel Beckett
  • Clifford R. Jack
  • William J. Jagust

Charles DeCarli was recognized with the J. Allyn Taylor International Prize in Medicine awarded by the Robarts Research Institute in 2010.

Best Publications

  • Vascular dementia Diagnostic criteria for research studies: Report of the NINDS‐AIREN International Workshop*

    Gustavo C. Roman;T. K. Tatemichi;T. Erkinjuntti;J. L. Cummings

  • Mild cognitive impairment--beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment.

    B. Winblad;K. Palmer;Miia Kivipelto;V. Jelic

  • Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration

    Joanna M. Wardlaw;Eric E. Smith;Geert J Biessels;Charlotte Cordonnier

  • Vascular Contributions to Cognitive Impairment and Dementia A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association

    Philip B. Gorelick;Angelo Scuteri;Sandra E. Black;Charles Decarli

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

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

  • Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

    Unknown

  • National Institute of Neurological Disorders and Stroke–Canadian Stroke Network Vascular Cognitive Impairment Harmonization Standards

    Vladimir Hachinski;Costantino Iadecola;Ron C. Petersen;Monique M. Breteler

  • Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease.

    Adam C. Naj;Gyungah Jun;Gary W. Beecham;Li-San Wang

  • Vascular Cognitive Impairment

    John T O'Brien;Timo Erkinjuntti;Barry Reisberg;Gustavo Roman

  • 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

  • Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

    Rebecca Sims;Sven J. Van Der Lee;Adam C. Naj;Céline Bellenguez;Céline Bellenguez

  • The Uniform Data Set (UDS): clinical and cognitive variables and descriptive data from Alzheimer Disease Centers.

    John C. Morris;Sandra Weintraub;Helena C. Chui;Jeffrey Cummings

  • The Alzheimer's Disease Centers' Uniform Data Set (UDS): the neuropsychologic test battery.

    Sandra Weintraub;David Salmon;Nathaniel Mercaldo;Steven Ferris

  • Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline.

    S. Debette;S. Seshadri;S. Seshadri;A. Beiser;A. Beiser;R. Au;R. Au

  • Neuroimaging standards for research into small vessel disease—advances since 2013

    Unknown

  • The National Alzheimer's Coordinating Center (NACC) database: the Uniform Data Set.

    Duane L. Beekly;Erin M. Ramos;William W. Lee;Woodrow D. Deitrich

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • Mild cognitive impairment: prevalence, prognosis, aetiology, and treatment.

    Charles DeCarli

  • Measures of brain morphology and infarction in the framingham heart study: establishing what is normal

    Charles DeCarli;Joseph Massaro;Danielle J Harvey;John Hald

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease

    Norman L. Foster;Judith L. Heidebrink;Christopher M. Clark;William J. Jagust

  • The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults

    Charles DeCarli;D. G. M. Murphy;M. Tranh;C. L. Grady

Frequent Co-Authors

Sudha Seshadri
Sudha Seshadri The University of Texas Health Science Center at San Antonio
Alexa Beiser
Alexa Beiser Boston University
Philip A. Wolf
Philip A. Wolf Boston University
Dan M Mungas
Dan M Mungas University of California, Davis
Owen Carmichael
Owen Carmichael Pennington Biomedical Research Center
Rhoda Au
Rhoda Au Boston University
Bruce R Reed
Bruce R Reed University of California, Davis
William J. Jagust
William J. Jagust University of California, Berkeley
Ramachandran S. Vasan
Ramachandran S. Vasan The University of Texas Health Science Center at San Antonio
Michael W. Weiner
Michael W. Weiner University of California, San Francisco

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