D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 41 Citations 8,009 132 World Ranking 4535 National Ranking 125

Overview

What is she best known for?

The fields of study she is best known for:

  • Internal medicine
  • Gene
  • Neuroscience

Rachel M. Brouwer spends much of her time researching Neuroscience, Genome-wide association study, Schizophrenia, Brain mapping and White matter. Her Neuroscience study combines topics in areas such as Evolutionary biology, Fractional anisotropy, Diffusion MRI and Brain size. Her studies in Schizophrenia integrate themes in fields like Healthy subjects, Bipolar disorder, Autism, Neuroimaging and Machine learning.

Her work deals with themes such as Genetic architecture, Cerebral cortex, Voxel-based morphometry and Attention deficit hyperactivity disorder, which intersect with Brain mapping. Her White matter research is multidisciplinary, incorporating perspectives in Sex characteristics and Corpus callosum. Her work in the fields of Twin study overlaps with other areas such as Genetic association.

Her most cited work include:

  • Common genetic variants influence human subcortical brain structures. (610 citations)
  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (508 citations)
  • Genetic influences on human brain structure: A review of brain imaging studies in twins (361 citations)

What are the main themes of her work throughout her whole career to date?

Rachel M. Brouwer mainly investigates Neuroscience, Heritability, Schizophrenia, Twin study and Bipolar disorder. The concepts of her Neuroscience study are interwoven with issues in White matter and Brain size. Rachel M. Brouwer works mostly in the field of Heritability, limiting it down to topics relating to Fractional anisotropy and, in certain cases, Imaging genetics.

Rachel M. Brouwer has researched Schizophrenia in several fields, including Healthy subjects, Psychosis and Physiology. In Twin study, she works on issues like Cognition, which are connected to Developmental psychology and Audiology. Her Bipolar disorder research includes themes of Meta-analysis and Clinical psychology.

She most often published in these fields:

  • Neuroscience (30.77%)
  • Heritability (25.38%)
  • Schizophrenia (22.31%)

What were the highlights of her more recent work (between 2019-2021)?

  • Neuroimaging (12.31%)
  • Schizophrenia (22.31%)
  • Neuroscience (30.77%)

In recent papers she was focusing on the following fields of study:

Rachel M. Brouwer mainly focuses on Neuroimaging, Schizophrenia, Neuroscience, Cognition and Clinical psychology. Her study in Neuroimaging is interdisciplinary in nature, drawing from both Longitudinal study, Cortical surface, Healthy individuals and Disease. The Schizophrenia study combines topics in areas such as Twin study and Physiology.

Her Neuroscience research includes elements of Schizophrenia and Autism. Her biological study spans a wide range of topics, including Impulsivity and Audiology. Her Clinical psychology research integrates issues from Bipolar disorder, Depression, Anxiety, Brain aging and Wechsler Adult Intelligence Scale.

Between 2019 and 2021, her most popular works were:

  • The genetic architecture of the human cerebral cortex. (116 citations)
  • ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries (97 citations)
  • Association of Copy Number Variation of the 15q11.2 BP1-BP2 Region With Cortical and Subcortical Morphology and Cognition (25 citations)

In her most recent research, the most cited papers focused on:

  • Internal medicine
  • Gene
  • Cognition

Neuroimaging, Demography, Healthy individuals, Brain morphometry and Neuroscience are her primary areas of study. As a part of the same scientific study, Rachel M. Brouwer usually deals with the Neuroimaging, concentrating on Disease and frequently concerns with Vulnerability and Cerebral cortex. The various areas that Rachel M. Brouwer examines in her Healthy individuals study include Analysis of variance, Cognition, Pooling data and Audiology.

Rachel M. Brouwer interconnects Neuroplasticity, Hippocampus, Oncology and Brain size in the investigation of issues within Brain morphometry. Her Brain size study combines topics from a wide range of disciplines, such as Thalamus, Nucleus accumbens, Lateral ventricles, Putamen and Basal ganglia. Her Neuroscience research is multidisciplinary, incorporating elements of Genetic variation and Genetic architecture.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez.
Nature (2015)

738 Citations

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

Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar.
Brain Imaging and Behavior (2014)

597 Citations

Genetic influences on human brain structure: A review of brain imaging studies in twins

Jiska S. Peper;Rachel M. Brouwer;Dorret I. Boomsma;René S. Kahn.
Human Brain Mapping (2007)

490 Citations

Widespread white matter microstructural differences in schizophrenia across 4322 individuals : results from the ENIGMA Schizophrenia DTI Working Group

S. Kelly;S. Kelly;N. Jahanshad;A. Zalesky;P. Kochunov.
Molecular Psychiatry (2018)

437 Citations

Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group

Neda Jahanshad;Peter V. Kochunov;Emma Sprooten;Emma Sprooten;René C. Mandl.
NeuroImage (2013)

352 Citations

The genetic architecture of the human cerebral cortex

Katrina L. Grasby;Neda Jahanshad;Jodie N. Painter;Lucía Colodro-Conde.
Science (2020)

297 Citations

Sex steroids and brain structure in pubertal boys and girls

Jiska S. Peper;Rachel M. Brouwer;Hugo G. Schnack;G. Caroline M. van Baal.
Psychoneuroendocrinology (2009)

291 Citations

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

Paul M Thompson;Neda Jahanshad;Christopher R K Ching;Lauren E Salminen.
Translational Psychiatry (2020)

268 Citations

Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects.

Hugo G. Schnack;Mireille Nieuwenhuis;Neeltje E.M. van Haren;Lucija Abramovic.
NeuroImage (2014)

249 Citations

Novel genetic loci associated with hippocampal volume

Derrek Hibar;Hieab H.H. Adams;Neda Jahanshad;Ganesh Chauhan.
Nature Communications (2017)

241 Citations

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