World's Best Scientists 2026 revealed!
Lena Palaniyappan

Lena Palaniyappan

D-Index & Metrics

Neuroscience

D-Index
56
Citations
12845
World Ranking
4484
National Ranking
256

Lena Palaniyappan 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 Lena Palaniyappan sits on this spectrum.

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 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 321 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Lena Palaniyappan 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 Lena Palaniyappan sits on this spectrum.

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 D-Index 163+

This scientist: 56 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Lena Palaniyappan is affiliated with McGill University in Canada. Their research focuses extensively on neuroscience and medicine, with particular attention to cognitive neuroscience and psychiatry.

Their work spans several subfields including:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Psychiatry and Mental Health
  • Experimental and Cognitive Psychology
  • Clinical Psychology

Main topics addressed in their research include:

  • Functional Brain Connectivity Studies
  • Schizophrenia Research and Treatment
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Mental Health Research Topics
  • Neural Dynamics and Brain Function
  • Tryptophan and Brain Disorders

Notable recent publications include:

  • "Neuroimaging the consciousness of self: Review, and conceptual-methodological framework" (2020) in Neuroscience & Biobehavioral Reviews
  • "Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis" (2021) in Molecular Psychiatry
  • "Association of Age, Antipsychotic Medication, and Symptom Severity in Schizophrenia With Proton Magnetic Resonance Spectroscopy Brain Glutamate Level" (2021) in JAMA Psychiatry
  • "Integrative Brain Network and Salience Models of Psychopathology and Cognitive Dysfunction in Schizophrenia" (2022) in Biological Psychiatry
  • "Early treatment response in first episode psychosis: a 7-T magnetic resonance spectroscopic study of glutathione and glutamate" (2020) in Molecular Psychiatry

Frequent collaborators in Lena Palaniyappan's research include:

  • Michael Mackinley
  • Jean Théberge
  • Peter Jeon
  • Zhening Liu
  • Kara Dempster

Their work is predominantly published in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Psychiatry and Neuroscience
  • Biological Psychiatry
  • Schizophrenia Bulletin
  • Schizophrenia Research

Best Publications

  • Brain charts for the human lifespan

    Unknown

  • Does the salience network play a cardinal role in psychosis? An emerging hypothesis of insular dysfunction.

    Lena Palaniyappan;Peter F. Liddle

  • Neural primacy of the salience processing system in schizophrenia.

    Lena Palaniyappan;Molly Simmonite;Thomas P. White;Elizabeth B. Liddle

  • Brain surface anatomy in adults with autism: the relationship between surface area, cortical thickness, and autistic symptoms

    Christine Ecker;Cedric Ginestet;Yue Feng;Patrick Johnston

  • Brain-Wide Analysis of Functional Connectivity in First-Episode and Chronic Stages of Schizophrenia

    Tao Li;Qiang Wang;Jie Zhang;Jie Zhang;Edmund T. Rolls

  • Localized connectivity in depression: A meta-analysis of resting state functional imaging studies

    Sarina J. Iwabuchi;Rajeev Krishnadas;Chunbo Li;Dorothee P. Auer

  • Repetitive transcranial magnetic stimulation versus electroconvulsive therapy for major depression: a systematic review and meta-analysis.

    Juanjuan Ren;Hui Li;Lena Palaniyappan;Hongmei Liu

  • Dysregulated Brain Dynamics in a Triple-Network Saliency Model of Schizophrenia and Its Relation to Psychosis.

    Kaustubh Supekar;Weidong Cai;Rajeev Krishnadas;Lena Palaniyappan

  • Structural correlates of auditory hallucinations in schizophrenia: a meta-analysis.

    Lena Palaniyappan;Vijender Balain;Joaquim Radua;Peter F. Liddle

  • Voxel-based, brain-wide association study of aberrant functional connectivity in schizophrenia implicates thalamocortical circuitry.

    Wei Cheng;Lena Palaniyappan;Mingli Li;Keith M Kendrick

  • Neuroimaging the consciousness of self: Review, and conceptual-methodological framework.

    Paul Frewen;Matthias L. Schroeter;Giuseppe Riva;Pietro Cipresso

  • Glutathione and glutamate in schizophrenia: a 7T MRS study.

    Jyothika Kumar;Elizabeth B. Liddle;Carolina C. Fernandes;Lena Palaniyappan

  • Aberrant cortical gyrification in schizophrenia: a surface-based morphometry study.

    Lena Palaniyappan;Peter F. Liddle

  • Integrative Brain Network and Salience Models of Psychopathology and Cognitive Dysfunction in Schizophrenia

    Unknown

  • Resolving heterogeneity in schizophrenia through a novel systems approach to brain structure: individualized structural covariance network analysis.

    Zhaowen Liu;Zhaowen Liu;Lena Palaniyappan;Lena Palaniyappan;Xinran Wu;Kai Zhang

  • Differential effects of surface area, gyrification and cortical thickness on voxel based morphometric deficits in schizophrenia.

    Lena Palaniyappan;Peter F. Liddle

  • Cortical Folding Defects as Markers of Poor Treatment Response in First-Episode Psychosis

    Lena Palaniyappan;Tiago Reis Marques;Heather Taylor;Rowena Handley;Rowena Handley

  • Association of Age, Antipsychotic Medication, and Symptom Severity in Schizophrenia With Proton Magnetic Resonance Spectroscopy Brain Glutamate Level: A Mega-analysis of Individual Participant-Level Data.

    Kate Merritt;Philip K McGuire;Alice Egerton;H-Mrs in Schizophrenia Investigators;H-Mrs in Schizophrenia Investigators

  • Reality distortion is related to the structure of the salience network in schizophrenia.

    L. Palaniyappan;P. Mallikarjun;V. Joseph;T. P. White

  • Effectiveness of Early Psychosis Intervention: Comparison of Service Users and Nonusers in Population-Based Health Administrative Data

    Kelly K. Anderson;Ross Norman;Arlene MacDougall;Jordan Edwards

  • Folding of the prefrontal cortex in schizophrenia: regional differences in gyrification.

    Lena Palaniyappan;Pavan Mallikarjun;Verghese Joseph;Thomas P. White

  • Diagnostic Discontinuity in Psychosis: A Combined Study of Cortical Gyrification and Functional Connectivity

    Lena Palaniyappan;Peter F. Liddle

  • Antioxidant defense in schizophrenia and bipolar disorder: A meta-analysis of MRS studies of anterior cingulate glutathione.

    Tushar Kanti Das;Alborz Javadzadeh;Avyarthana Dey;Priyadharshini Sabesan

  • Targeted transcranial theta-burst stimulation alters fronto-insular network and prefrontal GABA

    Sarina Jennifer Iwabuchi;Felix Raschke;Dorothee P. Auer;Peter F. Liddle

Frequent Co-Authors

Peter F. Liddle
Peter F. Liddle University of Nottingham
Jean Théberge
Jean Théberge University of Western Ontario
Jianfeng Feng
Jianfeng Feng Fudan University
Zhening Liu
Zhening Liu Central South University
Penny A. Gowland
Penny A. Gowland University of Nottingham
M. Mallar Chakravarty
M. Mallar Chakravarty McGill University
Robin M. Murray
Robin M. Murray King's College London
Matthew J. Brookes
Matthew J. Brookes University of Nottingham
Julio C. Martinez-Trujillo
Julio C. Martinez-Trujillo University of Western Ontario
Peter R. Williamson
Peter R. Williamson National Institutes of Health

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