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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 49 5582 5183 13 12 107 13641

Mike W.-L. Cheung publications per year

The chart shows the history of publications by Mike W.-L. Cheung between 2002 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mike W.-L. Cheung published across 24 years, from 2002 to 2025, averaging 6.3 papers a year. Output peaked at 17 publications in 2021. 20 of the 151 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2002 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2021. 2002: 1 publication 2003: 1 publication 2004: 4 publications 2005: 5 publications 2006: 5 publications 2007: 3 publications 2008: 4 publications 2009: 4 publications 2010: 6 publications 2011: 2 publications 2012: 3 publications 2013: 3 publications 2014: 3 publications 2015: 13 publications 2016: 7 publications 2017: 6 publications 2018: 11 publications 2019: 9 publications 2020: 7 publications 2021: 17 publications 2022: 9 publications 2023: 8 publications 2024: 10 publications 2025: 10 publications
2002 2025

151 publications in total across all disciplines

View publications per year as a table
Mike W.-L. Cheung: publications per year, 2002 to 2025
Year Publications
2002 1
2003 1
2004 4
2005 5
2006 5
2007 3
2008 4
2009 4
2010 6
2011 2
2012 3
2013 3
2014 3
2015 13
2016 7
2017 6
2018 11
2019 9
2020 7
2021 17
2022 9
2023 8
2024 10
2025 10
Total 151
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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.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 101–110 publications, is where this scientist sits. 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
31–40 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.

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736 107
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151
281–290 139
291–300 113
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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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.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 48–49 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487 49
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321
62–63 248
64–65 290
66–67 218
68–69 219
70–71 215
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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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

  • 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

  • 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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