World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
100
Citations
35560
World Ranking
626
National Ranking
398

John K. Hewitt publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where John K. Hewitt sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 394 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

John K. Hewitt D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where John K. Hewitt sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 100 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

John K. Hewitt is affiliated with the University of Colorado Boulder in the United States. Their research spans multiple domains within medicine and psychology, with a focus on genetics, clinical psychology, experimental and cognitive psychology, artificial intelligence, and pharmacology.

The main topics covered in their work include:

  • Child and Adolescent Psychosocial and Emotional Development
  • Genetic Associations and Epidemiology
  • Substance Abuse Treatment and Outcomes
  • Cannabis and Cannabinoid Research
  • Cognitive Abilities and Testing
  • Attention Deficit Hyperactivity Disorder
  • Prenatal Substance Exposure Effects

Key publications by John K. Hewitt include:

  • Genetic diversity fuels gene discovery for tobacco and alcohol use (2022, Nature)
  • A large-scale genome-wide association study meta-analysis of cannabis use disorder (2020, The Lancet Psychiatry)
  • Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders (2023, Nature Mental Health)
  • Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10-year-old children: Utilizing the Adolescent Brain Cognitive Development ℠ (ABCD) Study (2021, PLoS ONE)
  • Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium (2020, Molecular Psychiatry)

Frequent co-authors of this researcher include:

  • Robin P. Corley
  • Christian J. Hopfer
  • William G. Iacono
  • Michael C. Stallings
  • Hermine H. Maes

Publication venues where John K. Hewitt has frequently published include:

  • Behavior Genetics
  • UNC Libraries
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Drug and Alcohol Dependence

Their work often reflects interdisciplinary approaches combining genetic epidemiology and psychological research to explore substance use disorders and developmental outcomes. The broad range of publication venues and frequent collaborations suggests active engagement in the research community focused on genetics, mental health, and substance abuse.

Best Publications

  • Individual differences in executive functions are almost entirely genetic in origin

    Naomi P. Friedman;Akira Miyake;Susan E. Young;John C. DeFries

  • Not All Executive Functions Are Related to Intelligence

    Naomi P. Friedman;Akira Miyake;Robin P. Corley;Susan E. Young

  • Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

    Donald J. Hagler;Sean N. Hatton;M. Daniela Cornejo;Carolina Makowski

  • The heritability of general cognitive ability increases linearly from childhood to young adulthood

    Claire M. A. Haworth;M. J. Wright;M. Luciano;N. G. Martin

  • Genetics and Developmental Psychopathology: 2. The Main Effects of Genes and Environment on Behavioral Problems in the Virginia Twin Study of Adolescent Behavioral Development

    Lindon J. Eaves;Judy L. Silberg;Joanne M. Meyer;Hermine H. Maes

  • Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

    Raymond K. Walters;Raymond K. Walters;Renato Polimanti;Emma C. Johnson;Jeanette N. McClintick

  • The Influence of Genetic Factors and Life Stress on Depression Among Adolescent Girls

    Judy L. Silberg;Andrew Pickles;Michael Rutter;John Hewitt

  • Genetic and environmental influences on behavioral disinhibition.

    Susan E. Young;Michael C. Stallings;Robin P. Corley;Kenneth S. Krauter

  • Combined Linkage and Association Sib-Pair Analysis for Quantitative Traits

    D.W. Fulker;D.W. Fulker;S.S. Cherny;S.S. Cherny;P.C. Sham;J.K. Hewitt

  • Behavioral disinhibition: liability for externalizing spectrum disorders and its genetic and environmental relation to response inhibition across adolescence.

    Susan E. Young;Naomi P. Friedman;Akira Miyake;Erik G. Willcutt

  • Substance use, abuse and dependence in adolescence: prevalence, symptom profiles and correlates

    S.E Young;R.P Corley;M.C Stallings;S.H Rhee

  • Genetic and Environmental Influences on Substance Initiation, Use, and Problem Use in Adolescents

    Soo Hyun Rhee;John K. Hewitt;Susan E. Young;Robin P. Corley

  • Developmental Trajectories in Toddlers’ Self-restraint Predict Individual Differences in Executive Functions 14 Years Later: A Behavioral Genetic Analysis

    Naomi P. Friedman;Akira Miyake;JoAnn L. Robinson;John K. Hewitt

  • Candidate gene-environment interaction research: reflections and recommendations.

    Danielle M. Dick;Arpana Agrawal;Matthew C. Keller;Amy Adkins

  • The Virginia Twin Study of Adolescent Behavioral Development: Influences of Age, Sex, and Impairment on Rates of Disorder

    Emily Simonoff;Andrew Pickles;Joanne M. Meyer;Judy L. Silberg

  • Structure and etiology of co-occurring internalizing and externalizing disorders in adolescents.

    Victoria E. Cosgrove;Victoria E. Cosgrove;Soo H. Rhee;Heather L. Gelhorn;Debra Boeldt

  • Testing structural equation models for twin data using LISREL.

    Andrew Heath;M. C. Neale;J. K. Hewitt;L. J. Eaves

  • Developmental epidemiology of drug use and abuse in adolescence and young adulthood: Evidence of generalized risk.

    Rohan H. Palmer;S. E. Young;C. J. Hopfer;R. P. Corley

  • Genetic and Environmental Influences on the Covariation Between Hyperactivity and Conduct Disturbance in Juvenile Twins

    Judy L. Silberg;Michael Rutter;Joanne Meyer;Hermine Maes

  • A large-scale genome-wide association study meta-analysis of cannabis use disorder

    Emma C Johnson;Ditte Demontis;Thorgeir E Thorgeirsson;Raymond K Walters

  • Genetic and Environmental Structure of the Tridimensional Personality Questionnaire: Three or Four Temperament Dimensions?

    M C Stallings;J K Hewitt;C R Cloninger;A C Heath

Frequent Co-Authors

Robin P. Corley
Robin P. Corley University of Colorado Boulder
Michael C. Stallings
Michael C. Stallings University of Colorado Boulder
Soo Hyun Rhee
Soo Hyun Rhee University of Colorado Boulder
Naomi P. Friedman
Naomi P. Friedman University of Colorado Boulder
Brett C. Haberstick
Brett C. Haberstick University of Colorado Boulder
William G. Iacono
William G. Iacono University of Minnesota
Andrew Smolen
Andrew Smolen University of Colorado Boulder
Nicholas G. Martin
Nicholas G. Martin QIMR Berghofer Medical Research Institute
Jaakko Kaprio
Jaakko Kaprio University of Helsinki
Matt McGue
Matt McGue University of Minnesota

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