World's Best Scientists 2026 revealed!
Tak Pan Wong

Tak Pan Wong

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 39 8232 7602 482 440 85 9446

Tak Pan Wong publications per year

The chart shows the history of publications by Tak Pan Wong between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tak Pan Wong published across 34 years, from 1992 to 2025, averaging 3.1 papers a year. Output peaked at 10 publications in 2024. 17 of the 106 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1992 to 2025. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 2024. 1992: 1 publication 1993: 0 publications 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 2 publications 2001: 1 publication 2002: 1 publication 2003: 2 publications 2004: 5 publications 2005: 4 publications 2006: 6 publications 2007: 5 publications 2008: 0 publications 2009: 2 publications 2010: 2 publications 2011: 3 publications 2012: 4 publications 2013: 7 publications 2014: 3 publications 2015: 4 publications 2016: 2 publications 2017: 3 publications 2018: 5 publications 2019: 6 publications 2020: 4 publications 2021: 2 publications 2022: 5 publications 2023: 7 publications 2024: 10 publications 2025: 7 publications
1992 2025

106 publications in total across all disciplines

View publications per year as a table
Tak Pan Wong: publications per year, 1992 to 2025
Year Publications
1992 1
1993 0
1994 1
1995 0
1996 0
1997 0
1998 1
1999 1
2000 2
2001 1
2002 1
2003 2
2004 5
2005 4
2006 6
2007 5
2008 0
2009 2
2010 2
2011 3
2012 4
2013 7
2014 3
2015 4
2016 2
2017 3
2018 5
2019 6
2020 4
2021 2
2022 5
2023 7
2024 10
2025 7
Total 106
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Tak Pan Wong publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Tak Pan Wong sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 78–87 publications, is where this scientist sits. 38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 85 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406 85
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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Tak Pan Wong D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Tak Pan Wong sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30–31 D-Index 163+

This scientist: 39 D-Index — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459 39
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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Overview

Tak Pan Wong is a researcher affiliated with McGill University in Canada, specializing in neuroscience. Their work spans across multiple subfields including cellular and molecular neuroscience, behavioral neuroscience, social psychology, cognitive neuroscience, and molecular biology.

Their research is associated with key topics such as neuroscience and neuropharmacology research, stress responses and cortisol, neuroendocrine regulation and behavior, memory and neural mechanisms, neurotransmitter receptor influence on behavior, tryptophan and brain disorders, and Alzheimer's disease research and treatments.

Recent publications by Tak Pan Wong include:

  • Aging of the Cerebral Cortex, 2020, McGill Journal of Medicine

Additional recent influential papers from Wong's broader research context include:

  • It Is All in the Right Amygdala: Increased Synaptic Plasticity and Perineuronal Nets in Male, But Not Female, Juvenile Rat Pups after Exposure to Early-Life Stress, 2020, Journal of Neuroscience
  • The hippocampus in stress susceptibility and resilience: Reviewing molecular and functional markers, 2022, Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • Neurodevelopmental insights into circuit dysconnectivity in schizophrenia, 2020, Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • SNORD90 induces glutamatergic signaling following treatment with monoaminergic antidepressants, 2023, eLife

Tak Pan Wong frequently collaborates with several researchers including Amanda Larosa, Moushumi Nath, Lalit K. Srivastava, Benjamin C. M. Fung, and Hong Long.

The researcher often publishes in several venues, with notable recurrent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Frontiers in Synaptic Neuroscience
  • Progress in Neuro-Psychopharmacology and Biological Psychiatry
  • McGill Journal of Medicine
  • The International Journal of Neuropsychopharmacology

Their body of work encompasses a significant number of publications in neuroscience, reflecting a consistent focus on molecular and behavioral aspects of brain function and disorders.

Best Publications

  • Role of NMDA Receptor Subtypes in Governing the Direction of Hippocampal Synaptic Plasticity

    Lidong Liu;Tak Pan Wong;Mario F. Pozza;Kurt Lingenhoehl

  • NMDA receptor subunits have differential roles in mediating excitotoxic neuronal death both in vitro and in vivo.

    Yitao Liu;Tak Pan Wong;Michelle Aarts;Amanda Rooyakkers

  • LTP inhibits LTD in the hippocampus via regulation of GSK3beta.

    Stéphane Peineau;Changiz Taghibiglou;Clarrisa Bradley;Tak Pan Wong

  • A balance between excitatory and inhibitory synapses is controlled by PSD-95 and neuroligin

    Oliver Prange;Tak Pan Wong;Kimberly Gerrow;Yu Tian Wang

  • Activation of PI3-kinase is required for AMPA receptor insertion during LTP of mEPSCs in cultured hippocampal neurons

    Heng-Ye Man;Qinhua Wang;Wei-Yang Lu;William Ju

  • Tyrosine phosphorylation of GluR2 is required for insulin‐stimulated AMPA receptor endocytosis and LTD

    Gholamreza Ahmadian;William Ju;William Ju;Lidong Liu;Lidong Liu;Michael Wyszynski

  • Neuroligins mediate excitatory and inhibitory synapse formation: involvement of PSD-95 and neurexin-1beta in neuroligin-induced synaptic specificity

    Joshua N. Levinson;Nadège Chéry;Kun Huang;Tak Pan Wong

  • Nucleus Accumbens Long-Term Depression and the Expression of Behavioral Sensitization

    Karen Brebner;Tak Pan Wong;Lidong Liu;Yitao Liu

  • Hippocampal long-term depression is required for the consolidation of spatial memory

    Yuan Ge;Zhifang Dong;Rosemary C. Bagot;John G. Howland

  • Hippocampal long-term depression mediates acute stress-induced spatial memory retrieval impairment.

    Tak Pan Wong;John G. Howland;Julie M. Robillard;Yuan Ge

  • Reorganization of Cholinergic Terminals in the Cerebral Cortex and Hippocampus in Transgenic Mice Carrying Mutated Presenilin-1 and Amyloid Precursor Protein Transgenes

    Tak Pan Wong;Thomas Debeir;Karen Duff;A. Claudio Cuello

  • A critical role for myosin IIb in dendritic spine morphology and synaptic function

    Jubin Ryu;Lidong Liu;Tak Pan Wong;Dong Chuan Wu

  • Calpain-Mediated mGluR1α Truncation: A Key Step in Excitotoxicity

    Wei Xu;Tak Pan Wong;Nadege Chery;Tara Gaertner

  • Changes in retinal expression of neurotrophins and neurotrophin receptors induced by ocular hypertension.

    Marcelo Rudzinski;Tak-Pan Wong;H. Uri Saragovi

  • Involvement of myosin Vb in glutamate receptor trafficking.

    Marie-France Lisé;Tak Pan Wong;Alex Trinh;Rochelle M. Hines

  • Astrocytes Control Glutamate Receptor Levels at Developing Synapses through SPARC–β-Integrin Interactions

    Emma V. Jones;Yann Bernardinelli;Yiu Chung Tse;Sabrina Chierzi

  • Cholinergic nerve terminals establish classical synapses in the rat cerebral cortex: synaptic pattern and age-related atrophy.

    P Turrini;M.A Casu;T.P Wong;Y De Koninck

  • Variations in postnatal maternal care and the epigenetic regulation of metabotropic glutamate receptor 1 expression and hippocampal function in the rat

    Rosemary C. Bagot;Tie-Yuan Zhang;Xianglan Wen;Thi Thu Thao Nguyen

  • Presynaptic D2 Dopamine Receptors Control Long-Term Depression Expression and Memory Processes in the Temporal Hippocampus

    Jill Rocchetti;Elsa Isingrini;Gregory Dal Bo;Sara Sagheby

  • dcc orchestrates the development of the prefrontal cortex during adolescence and is altered in psychiatric patients

    C. Manitt;C. Eng;M. Pokinko;R. T. Ryan

  • The impact of Aβ-plaques on cortical cholinergic and non-cholinergic presynaptic boutons in alzheimer's disease-like transgenic mice

    L Hu;T.P Wong;S.L Côté;K.F.S Bell

Frequent Co-Authors

Yu Tian Wang
Yu Tian Wang University of British Columbia
Michael J. Meaney
Michael J. Meaney McGill University
Rosemary C. Bagot
Rosemary C. Bagot McGill University
Bruno Giros
Bruno Giros McGill University
Patricia Boksa
Patricia Boksa Douglas Mental Health University Institute
Alfredo Ribeiro-da-Silva
Alfredo Ribeiro-da-Silva McGill University
A. Claudio Cuello
A. Claudio Cuello McGill University
Morgan Sheng
Morgan Sheng Broad Institute
Anthony G. Phillips
Anthony G. Phillips University of British Columbia
Yves De Koninck
Yves De Koninck Université Laval

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