World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
49
Citations
13641
World Ranking
5582
National Ranking
13

Mike W.-L. Cheung 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 Mike W.-L. Cheung 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: 107 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Mike W.-L. Cheung 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 Mike W.-L. Cheung 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: 49 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Mike W.-L. Cheung is affiliated with the National University of Singapore in Singapore. Their research spans multiple disciplines with a strong focus on psychology and medicine. Their publication record includes significant contributions to social and clinical psychology, cognitive neuroscience, and organizational behavior and human resource management.

Their recent papers cover a variety of topics and have been published in diverse academic journals. Notable publications include:

  • Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis (2022), published in Health Psychology
  • Psychological Ownership: A Meta-Analysis and Comparison of Multiple Forms of Attachment in the Workplace (2020), published in Journal of Management
  • Meta-analytic structural equation modeling made easy: A tutorial and web application for one-stage MASEM (2021), published in Research Synthesis Methods
  • Impact of glucocorticoids on the incidence of lupus-related major organ damage: a systematic literature review and meta-regression analysis of longitudinal observational studies (2021), published in Lupus Science & Medicine
  • Network models of posttraumatic stress disorder: A meta-analysis (2021), published in Journal of Abnormal Psychology

Frequent co-authors in their research include Stephen C. Bowden, Wendyl D'Souza, Anselm Mak, Adela-Maria Isvoranu, and Sacha Epskamp.

They have published repeatedly in the following venues:

  • Psychometrika
  • Health Psychology
  • Journal of Management
  • Lupus Science & Medicine
  • Journal of Abnormal Psychology

Their main fields of study encompass Psychology and Medicine, with subfields including Social Psychology, Cognitive Neuroscience, Organizational Behavior and Human Resource Management, Clinical Psychology, and Applied Psychology.

The principal topics addressed in their work involve Behavioral Health and Interventions, Mental Health Research Topics, Job Satisfaction and Organizational Behavior, Systemic Lupus Erythematosus Research, Functional Brain Connectivity Studies, Social and Intergroup Psychology, and Diverse Approaches in Healthcare and Education Studies.

Best Publications

  • Outlier and influence diagnostics for meta‐analysis

    Wolfgang Viechtbauer;Mike W.-L. Cheung

  • Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.

    Mike W.-L. Cheung

  • Meta-analytic structural equation modeling: A two-stage approach.

    Mike W.-L. Cheung;Wai Chan

  • metaSEM: an R package for meta-analysis using structural equation modeling.

    Mike W.-L. Cheung

  • A Guide to Conducting a Meta-Analysis with Non-Independent Effect Sizes

    Mike W.-L. Cheung

  • Meta-Analysis: A Structural Equation Modeling Approach

    Mike W. L. Cheung

  • Comparison of Approaches to Constructing Confidence Intervals for Mediating Effects Using Structural Equation Models

    Mike W.L. Cheung

  • Comparison of methods for constructing confidence intervals of standardized indirect effects.

    Mike W. L. Cheung

  • Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis.

    Unknown

  • Combination of heparin and aspirin is superior to aspirin alone in enhancing live births in patients with recurrent pregnancy loss and positive anti-phospholipid antibodies: a meta-analysis of randomized controlled trials and meta-regression.

    Anselm Mak;Mike W.-L. Cheung;Alicia Ai-cia Cheak;Roger Chun-man Ho

  • Prevalence of depressive symptoms in patients with chronic obstructive pulmonary disease: a systematic review, meta-analysis and meta-regression

    Melvyn W.B. Zhang;Roger C.M. Ho;Mike W.L. Cheung;Erin Fu

  • Cognitive processes underlying coping flexibility: differentiation and integration.

    Cecilia Cheng;Mike W. L. Cheung

  • Global trend of survival and damage of systemic lupus erythematosus: meta-analysis and meta-regression of observational studies from the 1950s to 2000s

    Anselm Mak;Mike W.-L. Cheung;Hui Jin Chiew;Yang Liu

  • The Structure of Cognitive Vulnerabilities to Depression and Anxiety: Evidence for a Common Core Etiologic Process Based on a Meta-Analytic Review

    Ryan Y. Hong;Mike W.-L. Cheung

  • Fixed- and random-effects meta-analytic structural equation modeling: examples and analyses in R.

    Mike W.-L. Cheung

  • A Guide to Conducting a Meta-Analysis.

    Mike W.-L. Cheung;Ranjith Vijayakumar

  • A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

    Mike W.-L. Cheung

  • Meta-analytic structural equation modeling with moderating effects on SEM parameters

    Suzanne Jak;Mike W. L. Cheung

  • Evaluating Multilevel Models in Cross-Cultural Research An Illustration With Social Axioms

    Mike W.-L. Cheung;Kwok Leung;Kevin Au

  • Conducting a meta-analysis: basics and good practices.

    Mike W.-L. Cheung;Roger C. M. Ho;Yonghao Lim;Anselm Mak

  • Applications of Multilevel Structural Equation Modeling to Cross-Cultural Research

    Mike W.-L. Cheung;Kevin Au

  • Reducing Uniform Response Bias With Ipsative Measurement in Multiple-Group Confirmatory Factor Analysis

    Mike W.-L. Cheung;Wai Chan

  • The Structure of Cognitive Vulnerabilities to Depression and Anxiety

    Ryan Y. Hong;Mike W.-L. Cheung

Frequent Co-Authors

Cecilia Cheng
Cecilia Cheng University of Hong Kong
Roger C.M. Ho
Roger C.M. Ho Hong Kong University of Science and Technology
Kevin Au
Kevin Au Chinese University of Hong Kong
Sacha Epskamp
Sacha Epskamp National University of Singapore
Tai Hing Lam
Tai Hing Lam University of Hong Kong
Kenneth R Fox
Kenneth R Fox University of Bristol
Stephen C. Bowden
Stephen C. Bowden University of Melbourne
Oi-Man Kwok
Oi-Man Kwok Texas A&M University
Ronny Scherer
Ronny Scherer University of Oslo
Terry Kit-fong Au
Terry Kit-fong Au University of Hong Kong

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