World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
58
Citations
10643
World Ranking
3912
National Ranking
2189

Michael C. Stallings 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 Michael C. Stallings 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: 153 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Michael C. Stallings 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 Michael C. Stallings 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: 58 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Michael C. Stallings is affiliated with the University of Colorado Boulder in the United States. Their research spans multiple fields including Medicine, Psychology, and Biochemistry, Genetics and Molecular Biology. Within these domains, their work particularly engages with Clinical Psychology, Genetics, Epidemiology, Molecular Biology, and Pharmacology.

The scientist's scholarly output covers a variety of topics related to genetic and psychosocial influences on health and behavior. Key areas of study include:

  • Child and Adolescent Psychosocial and Emotional Development
  • Genetic Associations and Epidemiology
  • Substance Abuse Treatment and Outcomes
  • Cannabis and Cannabinoid Research
  • Epigenetics and DNA Methylation
  • Smoking Behavior and Cessation
  • Behavioral Health and Interventions

Michael C. Stallings has published research in frequent collaboration with other scientists. Their most common coauthors include Robin P. Corley, John K. Hewitt, Christian J. Hopfer, Tamara L. Wall, and Chandra A. Reynolds.

The venues where this researcher most often publishes include journals and platforms such as:

  • Behavior Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Drug and Alcohol Dependence
  • Developmental Psychology
  • Nature Genetics

Among recent papers authored or coauthored by the researcher are the following:

  • "A large-scale genome-wide association study meta-analysis of cannabis use disorder" (2020), published in The Lancet Psychiatry
  • "Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium" (2020), published in Molecular Psychiatry
  • "Within-sibship GWAS improve estimates of direct genetic effects" (2021), published in bioRxiv (Cold Spring Harbor Laboratory)
  • "Genetic association study of childhood aggression across raters, instruments, and age" (2021), published in Translational Psychiatry
  • "Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms" (2022), published in Journal of the American Academy of Child & Adolescent Psychiatry

Best Publications

  • 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

  • Relations between Preschool Attention Span-Persistence and Age 25 Educational Outcomes

    Megan M. McClelland;Alan C. Acock;Andrea Piccinin;Sally Ann Rhea

  • Genetic and environmental influences on behavioral disinhibition.

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

  • 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 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

  • 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

  • Distinguishing ordinal and disordinal interactions.

    Keith F. Widaman;Jonathan L. Helm;Laura Castro-Schilo;Michael Pluess

  • Childhood Maltreatment, Subsequent Antisocial Behavior, and the Role of Monoamine Oxidase A Genotype

    David Huizinga;Brett C. Haberstick;Andrew Smolen;Scott Menard

  • Interaction between MAO-A genotype and maltreatment in the risk for conduct disorder: failure to confirm in adolescent patients

    Susan E Young;Andrew Smolen;John K Hewitt;Brett C Haberstick

  • Genetic and environmental vulnerabilities underlying adolescent substance use and problem use: general or specific?

    Susan E. Young;Soo Hyun Rhee;Michael C. Stallings;Robin P. Corley

  • Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium

    S Stringer;C.C. Minică;Karin J. H. Verweij;H Mbarek

  • Population Stratification in the Candidate Gene Study: Fatal Threat or Red Herring?

    Kent E. Hutchison;Michael Stallings;John McGeary;Angela Bryan

  • Relationships Among Life Events and Psychological Well-Being: More Evidence for a Two-Factor Theory of Well-Being:

    Michael C. Stallings;Charlotte C. Dunham;Margaret Gatz;Laura A. Baker

  • Association of the neuronal nicotinic receptor β2 subunit gene (CHRNB2) with subjective responses to alcohol and nicotine

    Marissa A. Ehringer;Hilary V. Clegg;Allan C. Collins;Robin P. Corley

  • A genome-wide search for quantitative trait Loci that influence antisocial drug dependence in adolescence.

    Michael C. Stallings;Robin P. Corley;Briana Dennehey;John K. Hewitt

  • Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium

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

  • Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts

    Tae Hwi Schwantes-An;Tae Hwi Schwantes-An;Juan Zhang;Juan Zhang;Li Shiun Chen;Sarah M. Hartz

  • Delinquent peer affiliation and conduct problems: A twin study.

    Tanya M. M. Button;Robin P. Corley;Soo Hyun Rhee;John K. Hewitt

  • Genetic association study of childhood aggression across raters, instruments, and age

    Hill F. Ip;Camiel M. van der Laan;Eva M.L. Krapohl;Isabell Brikell

Frequent Co-Authors

John K. Hewitt
John K. Hewitt University of Colorado Boulder
Robin P. Corley
Robin P. Corley University of Colorado Boulder
Soo Hyun Rhee
Soo Hyun Rhee University of Colorado Boulder
Sandra A. Brown
Sandra A. Brown University of California, San Diego
Andrew Smolen
Andrew Smolen University of Colorado Boulder
Jaakko Kaprio
Jaakko Kaprio University of Helsinki
Joel Gelernter
Joel Gelernter Yale University
Nicholas G. Martin
Nicholas G. Martin QIMR Berghofer Medical Research Institute
Jason D. Boardman
Jason D. Boardman University of Colorado Boulder
Grant W. Montgomery
Grant W. Montgomery University of Queensland

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