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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 62 3482 3184 1608 1452 212 16822

John D. Van Horn publications per year

The chart shows the history of publications by John D. Van Horn between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John D. Van Horn published across 38 years, from 1988 to 2025, averaging 7 papers a year. Output peaked at 21 publications in 2016. 29 of the 265 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 21. Peak 21 publications in 2016. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 1 publication 1996: 5 publications 1997: 2 publications 1998: 5 publications 1999: 2 publications 2000: 6 publications 2001: 5 publications 2002: 4 publications 2003: 3 publications 2004: 3 publications 2005: 0 publications 2006: 4 publications 2007: 5 publications 2008: 9 publications 2009: 10 publications 2010: 5 publications 2011: 10 publications 2012: 16 publications 2013: 15 publications 2014: 13 publications 2015: 19 publications 2016: 21 publications 2017: 18 publications 2018: 12 publications 2019: 5 publications 2020: 6 publications 2021: 13 publications 2022: 7 publications 2023: 10 publications 2024: 14 publications 2025: 15 publications
1988 2025

265 publications in total across all disciplines

View publications per year as a table
John D. Van Horn: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 1
1994 0
1995 1
1996 5
1997 2
1998 5
1999 2
2000 6
2001 5
2002 4
2003 3
2004 3
2005 0
2006 4
2007 5
2008 9
2009 10
2010 5
2011 10
2012 16
2013 15
2014 13
2015 19
2016 21
2017 18
2018 12
2019 5
2020 6
2021 13
2022 7
2023 10
2024 14
2025 15
Total 265
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John D. Van Horn 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 John D. Van Horn 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, 208–217 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: 212 publications — 66th percentile

66% 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
208–217 262 212
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
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John D. Van Horn 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 John D. Van Horn 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, 62–63 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: 62 D-Index — 64th percentile

64% 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 62
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
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Research.com Recognitions

  • 1985 - Fellow of Alfred P. Sloan Foundation
  • 1970 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

John D. Van Horn is affiliated with the University of Virginia in the United States. Their research focuses primarily on neuroscience and medicine, with notable contributions in several related subfields including cognitive neuroscience, genetics, radiology, nuclear medicine and imaging, psychiatry and mental health, and epidemiology.

The scientist's work extensively covers topics such as autism spectrum disorder research, functional brain connectivity studies, genetics and neurodevelopmental disorders, traumatic brain injury research, advanced neuroimaging techniques and applications, attention deficit hyperactivity disorder, and congenital heart defects research.

Among recent publications are studies addressing various aspects of autism spectrum disorder (ASD) and brain connectivity. Notable papers include:

  • "Sex Differences in Functional Connectivity of the Salience, Default Mode, and Central Executive Networks in Youth with ASD," 2020, published in Cerebral Cortex
  • "Resting state EEG in youth with ASD: age, sex, and relation to phenotype," 2021, published in Journal of Neurodevelopmental Disorders
  • "The gap between IQ and adaptive functioning in autism spectrum disorder: Disentangling diagnostic and sex differences," 2021, published in Autism
  • "Imaging-genetics of sex differences in ASD: distinct effects of OXTR variants on brain connectivity," 2020, published in Translational Psychiatry
  • "Do Biological Sex and Early Developmental Milestones Predict the Age of First Concerns and Eventual Diagnosis in Autism Spectrum Disorder?" 2020, published in Autism Research

Frequent coauthors who have collaborated extensively with John D. Van Horn include Kevin A. Pelphrey, James C. McPartland, Sara Jane Webb, Raphael Bernier, and Allison Jack.

The scientist has contributed numerous publications to various venues, with a significant number appearing in bioRxiv (Cold Spring Harbor Laboratory), Neuroinformatics, Autism Research, arXiv (Cornell University), and Translational Psychiatry.

In addition to journal articles, Van Horn has published a book titled Inside the Competitor's Mindset in 2023 with The MIT Press.

Throughout their career, John D. Van Horn has been recognized as a Fellow by both the Alfred P. Sloan Foundation in 1985 and the American Association for the Advancement of Science (AAAS) in 1970.

Best Publications

  • Wandering Minds: The Default Network and Stimulus-Independent Thought

    Malia F. Mason;Michael I. Norton;John D. Van Horn;Daniel M. Wegner

  • The cortical topography of tonal structures underlying Western music.

    Petr Janata;Jeffrey L. Birk;John D. Van Horn;Marc Leman

  • Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review

    Jocelyn V Hull;Lisa B Dokovna;Zachary J Jacokes;Carinna M Torgerson

  • Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation

    Jana Schaich Borg;Catherine Hynes;John Van Horn;Scott Grafton

  • The Angular Gyrus Computes Action Awareness Representations

    Chlöé Farrer;Scott H. Frey;John D. Van Horn;Eugene Tunik

  • Modulation of cognition-specific cortical activity by gonadal steroids: A positron-emission tomography study in women

    Karen Faith Berman;Peter J. Schmidt;David R. Rubinow;Merry A. Danaceau

  • H215O PET validation of steady‐state arterial spin tagging cerebral blood flow measurements in humans

    Frank Q. Ye;Karen Faith Berman;Timothy Ellmore;Giuseppe Esposito

  • A comparison of rCBF patterns during letter and semantic fluency.

    Monica L. Gourovitch;Brenda S. Kirkby;Terry E. Goldberg;Daniel R. Weinberger

  • Reviewing the ketamine model for schizophrenia.

    Joel Frohlich;John Darrell Van Horn

  • Context-dependent, neural system-specific neurophysiological concomitants of ageing: mapping PET correlates during cognitive activation.

    Giuseppe Esposito;Brenda S. Kirkby;John D. Van Horn;Timothy M. Ellmore

  • MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI.

    Qiuyun Fan;Thomas Witzel;Aapo Nummenmaa;Koene R. A. Van Dijk

  • Specific relationship between prefrontal neuronal N-acetylaspartate and activation of the working memory cortical network in schizophrenia.

    Alessandro Bertolino;Giuseppe Esposito;Joseph H. Callicott;Venkata S. Mattay

  • Effect of nicotine on brain activation during performance of a working memory task

    Monique Ernst;John A. Matochik;Stephen J. Heishman;John D. Van Horn

  • Mapping white matter integrity and neurobehavioral correlates in children with fetal alcohol spectrum disorders.

    Elizabeth R. Sowell;Arianne Johnson;Eric Kan;Lisa H. Lu

  • Uncoupling Cognitive Workload and Prefrontal Cortical Physiology: A PET rCBF Study

    Terry E. Goldberg;Karen Faith Berman;Kirsten Fleming;Jill Ostrem

  • Extensive Individual Differences in Brain Activations Associated with Episodic Retrieval are Reliable Over Time

    Michael B. Miller;John Darrell Van Horn;George L. Wolford;Todd C. Handy

  • Mapping Connectivity Damage in the Case of Phineas Gage

    John Darrell Van Horn;Andrei Irimia;Carinna M. Torgerson;Micah C. Chambers

  • Dextroamphetamine Enhances “Neural Network-Specific” Physiological Signals: A Positron-Emission Tomography rCBF Study

    Venkata S. Mattay;Karen Faith Berman;Jill L. Ostrem;Giuseppe Esposito

  • Mapping the human connectome.

    Arthur W. Toga;Kristi A. Clark;Paul M. Thompson;David W. Shattuck

  • Resting-state fMRI can reliably map neural networks in children

    Moriah E. Thomason;Emily L. Dennis;Anand A. Joshi;Shantanu H. Joshi

  • Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline.

    Ivo D. Dinov;John D. Van Horn;Kamen Lozev;Rico Magsipoc

Frequent Co-Authors

Arthur W. Toga
Arthur W. Toga University of Southern California
Paul M. Vespa
Paul M. Vespa University of California, Los Angeles
Karen F. Berman
Karen F. Berman National Institutes of Health
Daniel R. Weinberger
Daniel R. Weinberger Johns Hopkins University
Jennifer S. Labus
Jennifer S. Labus University of California, Los Angeles
Emeran A. Mayer
Emeran A. Mayer University of California, Los Angeles
Scott T. Grafton
Scott T. Grafton University of California, Santa Barbara
Kevin A. Pelphrey
Kevin A. Pelphrey University of Virginia
Raphael Bernier
Raphael Bernier University of Washington
Michael S. Gazzaniga
Michael S. Gazzaniga University of California, Santa Barbara

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