D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

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 48 Citations 12,793 139 World Ranking 3545 National Ranking 1628

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Gene
  • Internal medicine

Derrek P. Hibar mostly deals with Neuroscience, Genome-wide association study, Brain size, Neuroimaging and Schizophrenia. His Neuroscience study integrates concerns from other disciplines, such as Voxel-based morphometry and Audiology. His research in Genome-wide association study intersects with topics in Polymorphism, Bioinformatics, Hippocampal formation and Alzheimer's disease, Disease.

His study in Brain size is interdisciplinary in nature, drawing from both Internal medicine, Hippocampus, Putamen and Dementia. Derrek P. Hibar has included themes like Meta-analysis, Magnetic resonance imaging and Depression in his Neuroimaging study. His studies deal with areas such as Brain mapping, Bipolar disorder, Diffusion MRI, Corona radiata and Anterior commissure as well as Schizophrenia.

His most cited work include:

  • Common genetic variants influence human subcortical brain structures. (610 citations)
  • Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium (595 citations)
  • Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis (533 citations)

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

His primary areas of study are Genome-wide association study, Neuroimaging, Neuroscience, Brain size and Bioinformatics. His Genome-wide association study research is multidisciplinary, incorporating elements of Computational biology, Genetic association and Genetic architecture. His biological study spans a wide range of topics, including Alzheimer's disease, Magnetic resonance imaging, Temporal lobe and Meta-analysis.

His research in Neuroscience intersects with topics in Schizophrenia and Disease. His Brain size research integrates issues from Concordance, Internal medicine, Genetic correlation and Allele. In his research on the topic of Putamen, Copy-number variation and Human brain is strongly related with Basal ganglia.

He most often published in these fields:

  • Genome-wide association study (46.79%)
  • Neuroimaging (34.62%)
  • Neuroscience (32.69%)

What were the highlights of his more recent work (between 2018-2020)?

  • Genome-wide association study (46.79%)
  • Schizophrenia (19.23%)
  • Neuroimaging (34.62%)

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

His main research concerns Genome-wide association study, Schizophrenia, Neuroimaging, Basal ganglia and Genetic architecture. His Genome-wide association study research incorporates themes from Genomics, Genetic association, Brain size and Neurogenesis, Neuroscience. Derrek P. Hibar is involved in the study of Neuroscience that focuses on Caudate nucleus in particular.

His work focuses on many connections between Neuroimaging and other disciplines, such as Meta-analysis, that overlap with his field of interest in Genetics, Neuroimaging genetics and Candidate gene. His Basal ganglia study incorporates themes from Putamen and Copy-number variation. In his study, Brain mapping and Attention deficit hyperactivity disorder is inextricably linked to Genetic variation, which falls within the broad field of Genetic architecture.

Between 2018 and 2020, his most popular works were:

  • The genetic architecture of the human cerebral cortex. (116 citations)
  • The genetic architecture of the human cerebral cortex. (116 citations)
  • Genetic architecture of subcortical brain structures in 38,851 individuals (71 citations)

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

  • Statistics
  • Gene
  • Genetics

Derrek P. Hibar mainly focuses on Neuroscience, Attention deficit hyperactivity disorder, Genetic architecture, Putamen and Globus pallidus. He has included themes like Betweenness centrality and Neurodevelopmental disorder in his Neuroscience study. His study in Attention deficit hyperactivity disorder is interdisciplinary in nature, drawing from both Cerebral cortex, Genetic variation, Cortex and Brain mapping.

The concepts of his Genetic architecture study are interwoven with issues in Nucleus accumbens and Genome-wide association study. In his research, Schizophrenia is intimately related to Pathology, which falls under the overarching field of Putamen. Derrek P. Hibar interconnects Genetic risk, Text mining, Mood disorders, Artificial intelligence and Machine learning in the investigation of issues within Schizophrenia.

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

Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

T. G M van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn.
Molecular Psychiatry (2016)

896 Citations

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

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.
Molecular Psychiatry (2017)

704 Citations

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.
The Lancet Psychiatry (2017)

680 Citations

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.
Nature Genetics (2012)

655 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

Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

D P Hibar;L T Westlye;L T Westlye;N T Doan;N T Doan;N Jahanshad.
Molecular Psychiatry (2018)

450 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

Subcortical volumetric abnormalities in bipolar disorder

D. P. Hibar;L. T. Westlye;L. T. Westlye;T. G. M. van Erp;J. Rasmussen.
Molecular Psychiatry (2016)

362 Citations

The genetic architecture of the human cerebral cortex

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

297 Citations

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