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M. Mallar Chakravarty

M. Mallar Chakravarty

McGill University
Canada

D-Index & Metrics

Neuroscience

D-Index
87
Citations
33296
World Ranking
1242
National Ranking
62

M. Mallar Chakravarty 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 M. Mallar Chakravarty 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: 433 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

M. Mallar Chakravarty 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 M. Mallar Chakravarty 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: 87 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

M. Mallar Chakravarty is affiliated with McGill University in Canada and has a significant body of research focused primarily in the fields of Medicine and Neuroscience. Their work spans across key subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Pediatrics, Perinatology and Child Health, and Neurology.

The scientist's research topics cover a wide range of areas such as Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Dementia and Cognitive Impairment Research, Alzheimer's Disease Research and Treatments, Neuroscience and Neuropharmacology Research, and Schizophrenia Research and Treatment.

Among their recent papers are:

  • "Brain charts for the human lifespan" (2022, Nature)
  • "The genetic architecture of the human cerebral cortex" (2020, Science)
  • "neuromaps: structural and functional interpretation of brain maps" (2022, Nature Methods)
  • "Association of Elevated Amyloid and Tau Positron Emission Tomography Signal With Near-Term Development of Alzheimer Disease Symptoms in Older Adults Without Cognitive Impairment" (2022, JAMA Neurology)
  • "Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization" (2020, Frontiers in Neuroinformatics)

Mallar Chakravarty frequently collaborates with several co-authors, including Gabriel A. Devenyi, Raihaan Patel, Christine Tardif, Stéphanie Tullo, and Sylvia Villeneuve. These collaborations suggest a network of scientific inquiry that complements their research focus areas.

The scientist often publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Alzheimer's & Dementia, Biological Psychiatry, and Progress in Neuro-Psychopharmacology and Biological Psychiatry. These platforms reflect the interdisciplinary nature of their research, intersecting clinical and methodological disciplines.

Best Publications

  • An anatomically comprehensive atlas of the adult human brain transcriptome

    Michael J. Hawrylycz;Ed S. Lein;Angela L. Guillozet-Bongaarts;Elaine H. Shen

  • Brain charts for the human lifespan

    Unknown

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • The genetic architecture of the human cerebral cortex

    Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Correlated gene expression supports synchronous activity in brain networks

    Jonas Richiardi;Jonas Richiardi;Andre Altmann;Anna-Clare Milazzo;Anna-Clare Milazzo;Catie Chang

  • Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

    Siobhan Ewert;Siobhan Ewert;Philip Plettig;Ningfei Li;Ningfei Li;M. Mallar Chakravarty;M. Mallar Chakravarty

  • Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases.

    Michael D. Fox;Randy L. Buckner;Hesheng Liu;M. Mallar Chakravarty;M. Mallar Chakravarty

  • neuromaps: structural and functional interpretation of brain maps

    Unknown

  • Fronto-striatal connections in the human brain: a probabilistic diffusion tractography study.

    Sandra E. Leh;Alain Ptito;M. Mallar Chakravarty;Antonio P. Strafella;Antonio P. Strafella

  • Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates

    Jon Pipitone;Min Tae M. Park;Julie L. Winterburn;Tristram A. Lett

  • Performing label‐fusion‐based segmentation using multiple automatically generated templates

    M. Mallar Chakravarty;M. Mallar Chakravarty;Patrick Steadman;Matthijs C. van Eede;Rebecca D. Calcott

  • A Genome-Wide Association Study Identifies Five Loci Influencing Facial Morphology in Europeans

    Fan Liu;Fedde van der Lijn;Claudia Schurmann;Gu Zhu

  • The creation of a brain atlas for image guided neurosurgery using serial histological data

    M. Mallar Chakravarty;Gilles Bertrand;Gilles Bertrand;Charles P. Hodge;Abbas F. Sadikot;Abbas F. Sadikot

  • Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression

    Michael T. Treadway;Michael L. Waskom;Daniel G. Dillon;Avram J. Holmes;Avram J. Holmes

  • Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol

    Paul A. Yushkevich;Robert S C Amaral;Jean C. Augustinack;Andrew R. Bender

  • Longitudinal four-dimensional mapping of subcortical anatomy in human development

    Armin Raznahan;Phillip W. Shaw;Jason P. Lerch;Liv S. Clasen

  • Novel genetic loci associated with hippocampal volume

    Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan

  • Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy

    Sune Nørhøj Jespersen;Carsten R. Bjarkam;Carsten R. Bjarkam;Jens R. Nyengaard;M. Mallar Chakravarty;M. Mallar Chakravarty

  • A Phase II Study of Fornix Deep Brain Stimulation in Mild Alzheimer's Disease.

    Andres M. Lozano;Lisa Fosdick;M. Mallar Chakravarty;Jeannie Marie Leoutsakos

  • The Creation of a Brain Atlas for Image Guided Neurosurgery Using Serial Histological Data

    M. Mallar Chakravarty;Gilles Bertrand;Maxime Descouteaux;Abbas F. Sadikot

Frequent Co-Authors

Martin Lepage
Martin Lepage Douglas Mental Health University Institute
Ariel Graff-Guerrero
Ariel Graff-Guerrero Centre for Addiction and Mental Health
Aristotle N. Voineskos
Aristotle N. Voineskos Centre for Addiction and Mental Health
Tomáš Paus
Tomáš Paus University of Toronto
D. Louis Collins
D. Louis Collins McGill University
Benoit H. Mulsant
Benoit H. Mulsant Centre for Addiction and Mental Health
Avram J. Holmes
Avram J. Holmes Yale University
Jason P. Lerch
Jason P. Lerch Hospital for Sick Children
John B.J. Kwok
John B.J. Kwok University of Sydney
Ashok Malla
Ashok Malla McGill University

External Links

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Best Scientists Citing M. Mallar Chakravarty

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 254

Neda Jahanshad

Neda Jahanshad

University of Southern California

Publications: 160

Ole A. Andreassen

Ole A. Andreassen

Oslo University Hospital

Publications: 127

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 94

Lars T. Westlye

Lars T. Westlye

University of Oslo

Publications: 89

Margaret J. Wright

Margaret J. Wright

University of Queensland

Publications: 85

Tomáš Paus

Tomáš Paus

University of Toronto

Publications: 85

Barbara Franke

Barbara Franke

Radboud University

Publications: 80

Simon E. Fisher

Simon E. Fisher

Max Planck Society

Publications: 78

David C. Glahn

David C. Glahn

Boston Children's Hospital

Publications: 72

Nicholas G. Martin

Nicholas G. Martin

QIMR Berghofer Medical Research Institute

Publications: 72

Anders M. Dale

Anders M. Dale

J. Craig Venter Institute

Publications: 70

Jessica A. Turner

Jessica A. Turner

The Ohio State University

Publications: 67

Aristotle N. Voineskos

Aristotle N. Voineskos

Centre for Addiction and Mental Health

Publications: 66

Jakob Seidlitz

Jakob Seidlitz

University of Pennsylvania

Publications: 65

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Sarah E. Medland

QIMR Berghofer Medical Research Institute

Publications: 62

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