World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
54
Citations
11207
World Ranking
4594
National Ranking
42

Neuroscience

D-Index
51
Citations
11093
World Ranking
5483
National Ranking
82

Patrick C. M. Wong 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 C. M. Wong 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: 175 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Patrick C. M. Wong 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 C. M. Wong 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: 54 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Patrick C. M. Wong is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on the fields of Psychology and Neuroscience, with notable contributions in Cognitive Neuroscience and Developmental and Educational Psychology. The scientist has also worked extensively in Experimental and Cognitive Psychology, as well as Pediatrics, Perinatology, and Child Health.

Their main research topics include Language Development and Disorders, Neuroscience and Music Perception, Reading and Literacy Development, Neurobiology of Language and Bilingualism, Phonetics and Phonology Research, Autism Spectrum Disorder Research, and Infant Development and Preterm Care.

Frequent publication venues for their work include bioRxiv (Cold Spring Harbor Laboratory), The Journal of the Acoustical Society of America, Scientific Reports, PLoS ONE, and Brain and Language.

Among their recent papers are:

  • Narratives imagined in response to instrumental music reveal culture-bounded intersubjectivity, 2022, Proceedings of the National Academy of Sciences
  • Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries, 2024, Nature Human Behaviour
  • What Drives Narrative Engagement With Music?, 2021, Music Perception An Interdisciplinary Journal
  • ASPM -lexical tone association in speakers of a tone language: Direct evidence for the genetic-biasing hypothesis of language evolution, 2020, Science Advances
  • Do you hear what I hear? Perceived narrative constitutes a semantic dimension for music, 2021, Cognition

Patrick C. M. Wong has collaborated frequently with co-authors including Hugh Simon Lam, Xin Kang, Peggy Hiu Ying Chan, Gangyi Feng, and Xiujuan Geng. The counts of collaborations with these co-authors range from eight to twelve joint publications.

Best Publications

  • Musical experience shapes human brainstem encoding of linguistic pitch patterns

    Patrick C M Wong;Erika Skoe;Nicole M Russo;Tasha Dees

  • Sensitivity to musical emotion is influenced by tonal structure in congenital amusia

    Cunmei Jiang;Fang Liu;Patrick C. M. Wong

  • Learning pitch patterns in lexical identification by native English-speaking adults

    Patrick C. M. Wong;Tyler K. Perrachione

  • Aging and cortical mechanisms of speech perception in noise

    Patrick C.M. Wong;James Xumin Jin;Geshri M. Gunasekera;Rebekah Abel

  • Plasticity in the adult human auditory brainstem following short-term linguistic training

    Judy H. Song;Erika Skoe;Patrick C. M. Wong;Nina Kraus

  • Learning a novel phonological contrast depends on interactions between individual differences and training paradigm design

    Tyler K. Perrachione;Jiyeon Lee;Louisa Y. Y. Ha;Patrick C. M. Wong

  • Neural characteristics of successful and less successful speech and word learning in adults

    Patrick C.M. Wong;Tyler K. Perrachione;Todd B. Parrish

  • Relating Structure to Function: Heschl's Gyrus and Acoustic Processing

    Catherine Warrier;Patrick Wong;Virginia Penhune;Robert Zatorre

  • Volume of Left Heschl's Gyrus and Linguistic Pitch Learning

    Patrick C.M. Wong;Catherine M. Warrier;Virginia B. Penhune;Virginia B. Penhune;Anil K. Roy

  • Neuroanatomical Characteristics and Speech Perception in Noise in Older Adults

    Patrick C. M. Wong;Marc Ettlinger;John P. Sheppard;Geshri M. Gunasekera

  • Senescent cell antigen is immunologically related to band 3

    Marguerite M. B. Kay;Steven R. Goodman;Keld Sorensen;Carol F. Whitfield

  • Individual variability in cue-weighting and lexical tone learning

    Bharath Chandrasekaran;Padma D. Sampath;Patrick C.M. Wong

  • The Role of the Insular Cortex in Pitch Pattern Perception: The Effect of Linguistic Contexts

    Patrick C. M. Wong;Lawrence M. Parsons;Lawrence M. Parsons;Michael Martinez;Michael Martinez;Randy L. Diehl

  • Lexical tone perception in musicians and non-musicians

    Jennifer A. Alexander;Patrick C. M. Wong;Ann R. Bradlow

  • Perceptual normalization for inter- and intratalker variation in Cantonese level tones.

    Patrick C. M. Wong;Randy L. Diehl

  • Foreign language training as cognitive therapy for age-related cognitive decline: a hypothesis for future research.

    Mark Antoniou;Geshri M. Gunasekera;Patrick C.M. Wong

  • Selective neurophysiologic responses to music in instrumentalists with different listening biographies

    Elizabeth Hellmuth Margulis;Lauren M. Mlsna;Ajith K. Uppunda;Todd B. Parrish

  • Cortical mechanisms of speech perception in noise.

    Patrick C. M. Wong;Ajith K. Uppunda;Todd B. Parrish;Sumitrajit Dhar

  • Declarative and procedural memory as individual differences in second language acquisition

    Kara Morgan-Short;Mandy Faretta-Stutenberg;Katherine A. Brill-Schuetz;Helen Carpenter

  • The bilingual advantage in phonetic learning

    Mark Antoniou;Eric Liang;Marc Ettlinger;Patrick C. M. Wong

  • A CRITICAL COMPARISON OF NEURAL NETWORKS AND DISCRIMINANT ANALYSIS IN LITHOFACIES, POROSITY AND PERMEABILITY PREDICTIONS

    P. M. Wong;F. X. Jian;I. J. Taggart

Frequent Co-Authors

Bharath Chandrasekaran
Bharath Chandrasekaran University of Pittsburgh
Fang Liu
Fang Liu Beihang University
Todd B. Parrish
Todd B. Parrish Northwestern University
Nina Kraus
Nina Kraus Northwestern University
Erika Skoe
Erika Skoe University of Connecticut
René Kager
René Kager Utrecht University
Ann R. Bradlow
Ann R. Bradlow Northwestern University
Sungzoon Cho
Sungzoon Cho Seoul National University
Virginia B. Penhune
Virginia B. Penhune Concordia University
Robert J. Zatorre
Robert J. Zatorre McGill University

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