World's Best Scientists 2026 revealed!
João Ricardo Sato

João Ricardo Sato

D-Index & Metrics

Neuroscience

D-Index
60
Citations
11690
World Ranking
3870
National Ranking
17

Social Sciences and Humanities

D-Index
60
Citations
11271
World Ranking
1488
National Ranking
14

João Ricardo Sato publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where João Ricardo Sato sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 301 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 274 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

João Ricardo Sato D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where João Ricardo Sato sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 260 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 60 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

João Ricardo Sato is affiliated with the Universidade Federal do ABC in Brazil. Their research spans multiple aspects of neuroscience and medicine, with a particular focus on cognitive neuroscience and advanced imaging techniques.

Their main fields of study include:

  • Neuroscience
  • Medicine

Within these domains, they have contributed extensively to several subfields such as:

  • Cognitive Neuroscience
  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Experimental and Cognitive Psychology
  • Psychiatry and Mental health

Their research covers a range of topics, notably:

  • Functional Brain Connectivity Studies
  • Optical Imaging and Spectroscopy Techniques
  • Transcranial Magnetic Stimulation Studies
  • EEG and Brain-Computer Interfaces
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Advanced Neuroimaging Techniques and Applications

João Ricardo Sato has published research in several key venues including:

  • Scientific Reports
  • Brain Stimulation
  • Neurophysiologie Clinique
  • Frontiers in Human Neuroscience
  • Molecular Psychiatry

Their recent scientific papers include the following:

  • Optical imaging and spectroscopy for the study of the human brain: status report, 2022, Neurophotonics
  • Brain age prediction: A comparison between machine learning models using region- and voxel-based morphometric data, 2021, Human Brain Mapping
  • An overview of the first 5 years of the ENIGMA obsessive-compulsive disorder working group: The power of worldwide collaboration, 2020, Human Brain Mapping
  • Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners, 2020, NeuroImage
  • OUP accepted manuscript, 2020, Brain

They collaborate frequently with other researchers, including:

  • Walter Hugo Lopez Pinaya
  • Pedro Mário Pan
  • Raimundo da Silva Soares
  • Claudinei Eduardo Biazoli
  • Marcelo Q. Hoexter

Best Publications

  • On the relationships between CO2 emissions, energy consumption and income: The importance of time variation

    Ahdi Noomen Ajmi;Shawkat Hammoudeh;Duc Khuong Nguyen;João Ricardo Sato

  • Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis.

    Premika S.W. Boedhoe;Lianne Schmaal;Yoshinari Abe;Stephanie H. Ameis

  • fNIRS Optodes’ Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest

    Guilherme Augusto Zimeo Morais;Joana Bisol Balardin;João Ricardo Sato

  • Meditation training increases brain efficiency in an attention task.

    Elisa H. Kozasa;João Ricardo Sato;João Ricardo Sato;Shirley S. Lacerda;Maria A. M. Barreiros

  • Multicenter Voxel-Based Morphometry Mega-Analysis of Structural Brain Scans in Obsessive-Compulsive Disorder

    Stella J. De Wit;Pino Alonso;Lizanne Schweren;David Mataix-Cols

  • Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group

    Premika S.W. Boedhoe;Lianne Schmaal;Yoshinari Abe;Pino Alonso

  • Art for Reward's Sake: Visual Art Recruits the Ventral Striatum

    Simon A Lacey;Henrik Hagtvedt;Vanessa M. Patrick;Amy Anderson

  • High risk cohort study for psychiatric disorders in childhood: Rationale, design, methods and preliminary results

    Giovanni Abrahão Salum;Giovanni Abrahão Salum;Ary Gadelha;Ary Gadelha;Pedro Mario Pan;Pedro Mario Pan;Tais Silveira Moriyama;Tais Silveira Moriyama;Tais Silveira Moriyama

  • Time-varying analysis of CO2 emissions, energy consumption, and economic growth nexus: Statistical experience in next 11 countries

    Muhammad Shahbaz;Mantu Kumar Mahalik;Syed Hasanat Shah;João Ricardo Sato

  • Imaging Brain Function with Functional Near-Infrared Spectroscopy in Unconstrained Environments.

    Joana B. Balardin;Guilherme A. Zimeo Morais;Rogério A. Furucho;Lucas Trambaiolli

  • Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia.

    Walter H. L. Pinaya;Ary Gadelha;Orla M. Doyle;Cristiano Noto

  • Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample

    Pedro Mario Pan;João R. Sato;Giovanni A. Salum;Luis A. Rohde

  • Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes

    Edgard Morya;Edgard Morya;Kátia Monte-Silva;Marom Bikson;Zeinab Esmaeilpour

  • A method to produce evolving functional connectivity maps during the course of an fMRI experiment using wavelet-based time-varying Granger causality.

    João Ricardo Sato;Edson Amaro Junior;Daniel Yasumasa Takahashi;Marcelo de Maria Felix

  • Depression in Parkinson's disease: Convergence from voxel-based morphometry and functional magnetic resonance imaging in the limbic thalamus

    Ellison Fernando Cardoso;Fernanda Martins Maia;Felipe Fregni;Martin Luis Myczkowski

  • Stroke lesion in cortical neural circuits and post-stroke incidence of major depressive episode: A 4-month prospective study

    Luisa Terroni;Edson Amaro;Dan V. Iosifescu;Gisela Tinone

  • Frequency domain connectivity identification: an application of partial directed coherence in fMRI.

    João R. Sato;Daniel Y. Takahashi;Silvia M. Arcuri;Koichi Sameshima

  • Acute Biphasic Effects of Ayahuasca

    Eduardo Ekman Schenberg;João Felipe Morel Alexandre;Renato Filev;Andre Mascioli Cravo

  • Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large‐scale multi‐sample study

    Walter H. L. Pinaya;Walter H. L. Pinaya;Andrea Mechelli;João R. Sato

  • Cortical thickness in obsessive–compulsive disorder: multisite mega-analysis of 780 brain scans from six centres

    Jean Paul Fouche;Stefan Du Plessis;Coenie Hattingh;Annerine Roos

Frequent Co-Authors

Edson Amaro
Edson Amaro Universidade de São Paulo
Luis Augusto Rohde
Luis Augusto Rohde Federal University of Rio Grande do Sul
Giovanni Abrahão Salum
Giovanni Abrahão Salum Child Mind Institute
Marcelo Q. Hoexter
Marcelo Q. Hoexter Universidade de São Paulo
Euripedes Constantino Miguel
Euripedes Constantino Miguel Universidade de São Paulo
Carles Soriano-Mas
Carles Soriano-Mas University of Barcelona
José M. Menchón
José M. Menchón University of Barcelona
María del Pino Alonso Ortega
María del Pino Alonso Ortega Bellvitge University Hospital
Jun Soo Kwon
Jun Soo Kwon Seoul National University
Geraldo F. Busatto
Geraldo F. Busatto Universidade de São Paulo

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