World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
40
Citations
8392
World Ranking
8009
National Ranking
70

Fernanda Tovar-Moll 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 Fernanda Tovar-Moll 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: 121 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Fernanda Tovar-Moll 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 Fernanda Tovar-Moll 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: 40 D-Index — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Overview

Fernanda Tovar-Moll is affiliated with the Federal University of Rio de Janeiro in Brazil. Their research primarily focuses on the fields of Medicine and Neuroscience, covering a wide range of subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology, Psychiatry and Mental Health, as well as Pediatrics, Perinatology and Child Health.

The scientist's work encompasses several main topics, such as Advanced Neuroimaging Techniques and Applications, Functional Brain Connectivity Studies, Dementia and Cognitive Impairment Research, Fetal and Pediatric Neurological Disorders, Long-Term Effects of COVID-19, COVID-19 Clinical Research Studies, and Adipose Tissue and Metabolism.

Fernanda Tovar-Moll has contributed to numerous publications in diverse venues. Frequent publication outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cerebral Cortex
  • Alzheimer s & Dementia
  • Trends in Neurosciences
  • Molecular Psychiatry

Their recent papers include:

  • "Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and the Central Nervous System" (2020), published in Trends in Neurosciences
  • "Neurological outcomes of congenital Zika syndrome in toddlers and preschoolers: a case series" (2020), published in The Lancet Child & Adolescent Health
  • "Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets" (2021), published in Journal of Child Psychology and Psychiatry
  • "The cyanobacterial saxitoxin exacerbates neural cell death and brain malformations induced by Zika virus" (2020), published in PLoS neglected tropical diseases
  • "Cerebrospinal fluid irisin correlates with amyloid-β, BDNF, and cognition in Alzheimer's disease" (2020), published in Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring

The researcher has collaborated extensively with frequent coauthors including Felipe Kenji Sudo, Paulo Mattos, Fernanda G. De Felice, Sérgio T. Ferreira, and Bart Vanderborght.

Best Publications

  • Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis

    Martine Hoogman;Janita Bralten;Derrek P. Hibar;Maarten Mennes

  • Exercise-linked FNDC5/irisin rescues synaptic plasticity and memory defects in Alzheimer's models

    Mychael V. Lourenco;Mychael V. Lourenco;Rudimar L. Frozza;Rudimar L. Frozza;Guilherme B. de Freitas;Guilherme B. de Freitas;Hong Zhang

  • HHS Public Access

    Martine Hoogman;Janita Bralten;Derrek P. Hibar;Maarten Mennes

  • Congenital Zika Virus Infection: Beyond Neonatal Microcephaly

    Adriana Suely de Oliveira Melo;Renato Santana Aguiar;Melania Maria Ramos Amorim;Monica B. Arruda

  • Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples

    Martine Hoogman;Ryan Muetzel;Joao P. Guimaraes;Elena Shumskaya

  • Psychopathy as a disorder of the moral brain: fronto-temporo-limbic grey matter reductions demonstrated by voxel-based morphometry.

    Ricardo de Oliveira-Souza;Robert D. Hare;Ivanei E. Bramati;Griselda J. Garrido

  • Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and the Central Nervous System.

    Fernanda G. De Felice;Fernanda G. De Felice;Fernanda Tovar-Moll;Jorge Moll;Douglas P. Munoz

  • Congenital Brain Abnormalities and Zika Virus: What the Radiologist Can Expect to See Prenatally and Postnatally.

    Patricia Soares de Oliveira-Szejnfeld;Deborah Levine;Adriana Suely de Oliveira Melo;Melania Maria Ramos Amorim

  • Subcortical Brain Volume, Regional Cortical Thickness, and Cortical Surface Area Across Disorders: Findings From the ENIGMA ADHD, ASD, and OCD Working Groups

    Premika S W Boedhoe;Daan van Rooij;Martine Hoogman;Jos W R Twisk

  • The spectrum of neuropathological changes associated with congenital Zika virus infection

    Leila Chimelli;Adriana S. O. Melo;Elyzabeth Avvad-Portari;Clayton A. Wiley

  • Neuroplasticity in human callosal dysgenesis: a diffusion tensor imaging study.

    Fernanda Tovar-Moll;Jorge Moll;Ricardo de Oliveira-Souza;Ivanei Bramati

  • Focal white matter changes in spasmodic dysphonia: a combined diffusion tensor imaging and neuropathological study

    Kristina Simonyan;Fernanda Tovar-Moll;John Ostuni;Mark Hallett

  • Functional expansion of sensorimotor representation and structural reorganization of callosal connections in lower limb amputees.

    Elington L. Simões;Ivanei Bramati;Erika Rodrigues;Ana Franzoi

  • Impaired functional but preserved structural connectivity in limbic white matter tracts in youth with conduct disorder or oppositional defiant disorder plus psychopathic traits

    Elizabeth Carrie Finger;Abigail Marsh;Karina Simone Blair;Catherine Majestic

  • White matter alterations differ in primary lateral sclerosis and amyotrophic lateral sclerosis

    Nobue K. Iwata;Justin Y. Kwan;Laura E. Danielian;John A. Butman

  • Deficits in narrative discourse elicited by visual stimuli are already present in patients with mild cognitive impairment

    Cláudia Drummond;Gabriel Coutinho;Rochele Paz Fonseca;Naima Assunção

  • Structural and functional brain rewiring clarifies preserved interhemispheric transfer in humans born without the corpus callosum.

    Fernanda Tovar-Moll;Myriam Monteiro;Juliana Andrade;Ivanei E. Bramati

  • Distribution of Mesenchymal Stem Cells and Effects on Neuronal Survival and Axon Regeneration after Optic Nerve Crush and Cell Therapy

    Louise Alessandra Mesentier-Louro;Camila Zaverucha-do-Valle;Almir Jordão da Silva-Junior;Gabriel Nascimento-dos-Santos

  • Thalamic Involvement and Its Impact on Clinical Disability in Patients with Multiple Sclerosis: A Diffusion Tensor Imaging Study at 3T

    F. Tovar-Moll;I. E. Evangelou;A. W. Chiu;N. D. Richert

  • Abnormal striatal BOLD responses to reward anticipation and reward delivery in ADHD.

    Emi Furukawa;Patricia Bado;Gail Tripp;Paulo Mattos

Frequent Co-Authors

Paulo Mattos
Paulo Mattos Federal University of Rio de Janeiro
Roberto Lent
Roberto Lent Federal University of Rio de Janeiro
Klaus-Peter Lesch
Klaus-Peter Lesch University of Würzburg
Leonardo F. Fontenelle
Leonardo F. Fontenelle Federal University of Rio de Janeiro
Stevens K. Rehen
Stevens K. Rehen Federal University of Rio de Janeiro
Jan Haavik
Jan Haavik University of Bergen
Thomas Frodl
Thomas Frodl Otto-von-Guericke University Magdeburg
Fernanda G. De Felice
Fernanda G. De Felice Queen's University
Jan K. Buitelaar
Jan K. Buitelaar Radboud University
Jaap Oosterlaan
Jaap Oosterlaan University of Amsterdam

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Related Online Degrees & Career Pathways

Exploring neuroscience can open doors to a range of diverse careers. Many students interested in this field consider expanding their skills with related credentials or alternative pathways, especially through flexible online study options.

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Each of these pathways offers unique benefits, flexible study options, and rewarding careers that complement neuroscience expertise.

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