World's Best Scientists 2026 revealed!
Matthew D. Sacchet

Matthew D. Sacchet

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
45
Citations
8546
World Ranking
445
National Ranking
70

Neuroscience

D-Index
49
Citations
10650
World Ranking
5923
National Ranking
2597

Matthew D. Sacchet 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 Matthew D. Sacchet 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: 162 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Matthew D. Sacchet 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 Matthew D. Sacchet 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: 49 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Matthew D. Sacchet is affiliated with Harvard University in the United States. Their research spans multiple disciplines within neuroscience, medicine, and psychology, focusing extensively on neuroimaging and mental health. The main fields of their work include Neuroscience with 71 publications, Medicine with 65, and Psychology with 49. Subfields include Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Clinical Psychology, and Pharmacology.

The scientist's research primarily explores topics such as Functional Brain Connectivity Studies, Treatment of Major Depression, Mental Health Research Topics, Advanced MRI Techniques and Applications, Mindfulness and Compassion Interventions, Advanced Neuroimaging Techniques and Applications, and Tryptophan and brain disorders.

Some of the notable recent papers authored or co-authored by Matthew D. Sacchet include:

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group (2020, Molecular Psychiatry)
  • ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing (2020, Translational Psychiatry)
  • Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders (2020, Molecular Psychiatry)
  • Altered resting-state functional connectome in major depressive disorder: a mega-analysis from the PsyMRI consortium (2021, Translational Psychiatry)
  • Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group (2020, Human Brain Mapping)

They frequently publish in venues such as bioRxiv (Cold Spring Harbor Laboratory), Biological Psychiatry, European Psychiatry, Molecular Psychiatry, and Translational Psychiatry. The number of publications in these venues ranges from 5 to 14, indicating repeated contributions to key journals in their fields of study.

Matthew D. Sacchet has collaborated consistently with several researchers, including Ian H. Gotlib, Tilo Kircher, Chris H. Miller, Dominik Grotegerd, and Dan J. Stein, with collaboration counts ranging from 18 to 44 joint works. These co-authors have contributed to a wide spectrum of research within psychiatry and neuroscience.

Best Publications

  • Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group.

    L Schmaal;D P Hibar;P G Sämann;G B Hall

  • Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group

    Tiffany C. Ho;Boris Gutman;Elena Pozzi;Hans J. Grabe

  • Mindfulness starts with the body: somatosensory attention and top-down modulation of cortical alpha rhythms in mindfulness meditation

    Catherine E. Kerr;Matthew D. Sacchet;Sara W. Lazar;Christopher I. Moore

  • White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group

    Laura S. van Velzen;Sinead Kelly;Sinead Kelly;Dmitry Isaev;Andre Aleman

  • Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

    Laura K.M. Han;Richard Dinga;Richard Dinga;Tim Hahn;Christopher R.K. Ching

  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

    Sophia Frangou;Amirhossein Modabbernia;Steven C. R. Williams;Efstathios Papachristou

  • Meta-analysis of Functional Neuroimaging of Major Depressive Disorder in Youth

    Chris H. Miller;J. Paul Hamilton;Matthew D. Sacchet;Ian H. Gotlib

  • Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders

    Yash Patel;Nadine Parker;Jean Shin;Derek Howard

  • Resting-state fMRI functional connectivity and mindfulness in clinical and non-clinical contexts: A review and synthesis

    Unknown

  • Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies.

    Joseph Kambeitz;Carlos Cabral;Matthew D. Sacchet;Ian H. Gotlib

  • ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

    Lianne Schmaal;Elena Pozzi;Tiffany C Ho;Tiffany C Ho;Laura S van Velzen

  • Common and distinct neural correlates of personal and vicarious reward: A quantitative meta-analysis.

    Sylvia A. Morelli;Matthew D. Sacchet;Jamil Zaki

  • Resting-state functional connectivity of the amygdala and longitudinal changes in depression severity in adolescent depression

    Colm G. Connolly;Tiffany C. Ho;Tiffany C. Ho;Eva Henje Blom;Eva Henje Blom;Kaja Z. LeWinn

  • Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group

    Unknown

  • Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders : Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group.

    Nils Opel;Anbupalam Thalamuthu;Anbupalam Thalamuthu;Yuri Milaneschi;Dominik Grotegerd

  • Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3-90 years

    Danai Dima;Danai Dima;Amirhossein Modabbernia;Efstathios Papachristou;Gaelle E. Doucet

  • Myelination of the brain in Major Depressive Disorder: An in vivo quantitative magnetic resonance imaging study

    Matthew D. Sacchet;Ian H. Gotlib

  • Support vector machine classification of major depressive disorder using diffusion-weighted neuroimaging and graph theory

    Matthew D. Sacchet;Gautam Prasad;Gautam Prasad;Lara C. Foland-Ross;Paul M. Thompson

  • Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder.

    Michael Murphy;Alexis E. Whitton;Alexis E. Whitton;Alexis E. Whitton;Stephanie Deccy;Manon L. Ironside;Manon L. Ironside

  • Greater male than female variability in regional brain structure across the lifespan

    Lara M Wierenga;Gaelle E Doucet;Gaelle E Doucet;Danai Dima;Danai Dima;Ingrid Agartz;Ingrid Agartz

  • Mindfulness Training Alters Emotional Memory Recall Compared to Active Controls: Support for an Emotional Information Processing Model of Mindfulness

    Douglas Roberts-Wolfe;Douglas Roberts-Wolfe;Matthew D. Sacchet;Matthew D. Sacchet;Elizabeth Hastings;Harold Roth

  • Cortical thickness predicts the first onset of major depression in adolescence.

    Lara C. Foland-Ross;Matthew D. Sacchet;Gautam Prasad;Brooke Gilbert

  • Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder

    J. Paul Hamilton;Gary H. Glover;Epifanio Bagarinao;Catie Chang

Frequent Co-Authors

Ian H. Gotlib
Ian H. Gotlib Stanford University
Paul M. Thompson
Paul M. Thompson University of Southern California
Tiffany C. Ho
Tiffany C. Ho University of California, San Francisco
Thomas Frodl
Thomas Frodl Otto-von-Guericke University Magdeburg
Lianne Schmaal
Lianne Schmaal University of Melbourne
Bernhard T. Baune
Bernhard T. Baune University of Münster
Udo Dannlowski
Udo Dannlowski University of Münster
Henrik Walter
Henrik Walter Charité - University Medicine Berlin
Dick J. Veltman
Dick J. Veltman Amsterdam UMC
Ilya M. Veer
Ilya M. Veer Charité - University Medicine Berlin

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