World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
63
Citations
51086
World Ranking
3039
National Ranking
1727

Patrick J. Curran 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 Patrick J. Curran 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: 103 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Patrick J. Curran 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 Patrick J. Curran 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: 63 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Overview

Patrick J. Curran is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of psychology, with a significant focus on subfields that include experimental and cognitive psychology, clinical psychology, molecular biology, statistics and probability, and general health professions.

The scientist has contributed to various research topics prominently centered on mental health research, advanced causal inference techniques, healthcare professionals' stress and burnout, COVID-19 and mental health, epigenetics and DNA methylation, as well as COVID-19 epidemiological studies and healthcare impacts.

Patrick J. Curran has authored several papers, including:

  • "Cancer-Associated Fibroblasts Promote Immunosuppression by Inducing ROS-Generating Monocytic MDSCs in Lung Squamous Cell Carcinoma" (2020), published in Cancer Immunology Research
  • "Life-course trajectories of body mass index from adolescence to old age: Racial and educational disparities" (2021), published in Proceedings of the National Academy of Sciences
  • "Excess mortality during the COVID-19 pandemic: a geospatial and statistical analysis in Aden governorate, Yemen" (2021), published in BMJ Global Health
  • "Psychometric models for scoring multiple reporter assessments: Applications to integrative data analysis in prevention science and beyond" (2020), published in International Journal of Behavioral Development
  • "The Challenge of Modeling Co-Developmental Processes over Time" (2021), published in Child Development Perspectives

The scientist has frequently collaborated with a number of coauthors, notably Andrea M. Hussong, Daniel J. Bauer, Laurie Chassin, Robert A. Zucker, and Jeffrey Sonis.

Research published by Patrick J. Curran has appeared predominantly in venues such as UNC Libraries, Journal of Consulting and Clinical Psychology, ACS Medicinal Chemistry Letters, Cancer Immunology Research, and Proceedings of the National Academy of Sciences.

Best Publications

  • The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.

    Patrick J. Curran;Stephen G. West;John F. Finch

  • Structural equation models with nonnormal variables: Problems and remedies.

    Stephen G. West;John F. Finch;Patrick J. Curran

  • Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis.

    Kristopher J. Preacher;Patrick J. Curran;Daniel J. Bauer

  • An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.

    David B. Flora;Patrick J. Curran

  • Latent curve models : a structural equation perspective

    Kenneth A. Bollen;Patrick J. Curran

  • The disaggregation of within-person and between-person effects in longitudinal models of change.

    Patrick J. Curran;Daniel J. Bauer

  • Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques

    Daniel J. Bauer;Patrick J. Curran

  • Twelve Frequently Asked Questions about Growth Curve Modeling.

    Patrick J. Curran;Khawla Obeidat;Diane Losardo

  • Structural equation models with non-normal variables: Problems and remedies

    SG West;JF Finch;PJ Curran

  • Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes.

    Daniel J. Bauer;Patrick J. Curran

  • General Longitudinal Modeling of Individual Differences in Experimental Designs: A Latent Variable Framework for Analysis and Power Estimation

    Bengt O. Muthén;Patrick J. Curran

  • Integrative data analysis: the simultaneous analysis of multiple data sets.

    Patrick J. Curran;Andrea M. Hussong

  • Relation of parental alcoholism to early adolescent substance use: A test of three mediating mechanisms.

    Laurie Chassin;David R. Pillow;Patrick J. Curran;Brooke S.G. Molina

  • Improper Solutions in Structural Equation Models Causes, Consequences, and Strategies

    Feinian Chen;Kenneth A. Bollen;Pamela Paxton;Patrick J. Curran

  • The integration of continuous and discrete latent variable models: potential problems and promising opportunities.

    Daniel J. Bauer;Patrick J. Curran

  • The relation between adolescent alcohol use and peer alcohol use: A longitudinal random coefficients model.

    Patrick J. Curran;Eric Stice;Laurie Chassin

  • Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions

    Kenneth A. Bollen;Patrick J. Curran

  • The relation of parent alcoholism to adolescent substance use: A longitudinal follow-up study.

    Laurie Chassin;Patrick J. Curran;Andrea M. Hussong;Craig R. Colder

  • The separation of between-person and within-person components of individual change over time: a latent curve model with structured residuals.

    Patrick J. Curran;Andrea L. Howard;Sierra A. Bainter;Stephanie T. Lane

  • Have Multilevel Models Been Structural Equation Models All Along

    Patrick J. Curran

  • The role of coding time in estimating and interpreting growth curve models.

    Jeremy C. Biesanz;Natalia Deeb-Sossa;Alison A. Papadakis;Kenneth A. Bollen

Frequent Co-Authors

Andrea M. Hussong
Andrea M. Hussong University of North Carolina at Chapel Hill
Daniel J. Bauer
Daniel J. Bauer University of North Carolina at Chapel Hill
Laurie Chassin
Laurie Chassin Arizona State University
Kenneth A. Bollen
Kenneth A. Bollen University of North Carolina at Chapel Hill
Robert A. Zucker
Robert A. Zucker University of Michigan–Ann Arbor
Pamela Paxton
Pamela Paxton The University of Texas at Austin
Michael T. Willoughby
Michael T. Willoughby RTI International
David B. Flora
David B. Flora York University
Stephen G. West
Stephen G. West Arizona State University
Kenneth J. Sher
Kenneth J. Sher University of Missouri

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