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 72 Citations 21,880 372 World Ranking 1293 National Ranking 656

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Statistics
  • Neuroscience

Jessica A. Turner mainly investigates Neuroscience, Neuroimaging, Schizophrenia, Brain mapping and Genome-wide association study. Her study brings together the fields of Voxel-based morphometry and Neuroscience. Her research in Neuroimaging intersects with topics in Meta-analysis, Metadata, Clinical psychology and Neuroinformatics.

Her Schizophrenia research is multidisciplinary, incorporating elements of Audiology, Psychosis, Bipolar disorder, Functional imaging and Functional magnetic resonance imaging. Her studies in Brain mapping integrate themes in fields like Schizophrenia and Cognition. Her research integrates issues of Independent component analysis, Coherence, Connectome and Group independent component analysis in her study of Resting state fMRI.

Her most cited work include:

  • A Baseline for the Multivariate Comparison of Resting-State Networks (831 citations)
  • A Baseline for the Multivariate Comparison of Resting-State Networks (831 citations)
  • Behavioral interpretations of intrinsic connectivity networks (730 citations)

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

Her main research concerns Neuroscience, Neuroimaging, Schizophrenia, Cognition and Functional magnetic resonance imaging. Her biological study deals with issues like Schizophrenia, which deal with fields such as Pattern recognition. Her Neuroimaging study combines topics from a wide range of disciplines, such as Data science, Genome-wide association study, Data mining and Artificial intelligence.

Her work on Neuroinformatics is typically connected to Health informatics as part of general Data science study, connecting several disciplines of science. The Schizophrenia study combines topics in areas such as Bipolar disorder, Psychosis, Audiology and Single-nucleotide polymorphism. Her Cognition study combines topics in areas such as Cognitive psychology and Clinical psychology.

She most often published in these fields:

  • Neuroscience (39.74%)
  • Neuroimaging (30.13%)
  • Schizophrenia (30.57%)

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

  • Schizophrenia (30.57%)
  • Neuroscience (39.74%)
  • Neuroimaging (30.13%)

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

Jessica A. Turner spends much of her time researching Schizophrenia, Neuroscience, Neuroimaging, Default mode network and Cognition. She combines subjects such as White matter, Bipolar disorder, Psychosis and Internal medicine with her study of Schizophrenia. Her research on Neuroscience frequently connects to adjacent areas such as Disease.

Her work focuses on many connections between Neuroimaging and other disciplines, such as Major depressive disorder, that overlap with her field of interest in Autism spectrum disorder. Her Default mode network research includes elements of Dynamic functional connectivity, Schizophrenia, Artificial intelligence, Precuneus and Pattern recognition. Jessica A. Turner has included themes like Cerebellum, Functional connectivity, Correlation and Clinical psychology in her Cognition study.

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)
  • Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size. (60 citations)

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

  • Artificial intelligence
  • Statistics
  • Neuroscience

Neuroscience, Schizophrenia, Neuroimaging, Major depressive disorder and Cognition are her primary areas of study. Many of her research projects under Neuroscience are closely connected to State with State, tying the diverse disciplines of science together. In her study, Attention deficit hyperactivity disorder is strongly linked to Genome-wide association study, which falls under the umbrella field of Brain mapping.

The various areas that Jessica A. Turner examines in her Schizophrenia study include Dentate gyrus, Internal medicine, Hippocampus, Pathophysiology and Genetic association. Her Neuroimaging research incorporates themes from Physical medicine and rehabilitation, Cortical surface, Diagnosis of schizophrenia, Robustness and Data set. Jessica A. Turner has researched Cognition in several fields, including Cerebellum, Insula and Audiology.

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

A Baseline for the Multivariate Comparison of Resting-State Networks

Elena A. Allen;Erik B. Erhardt;Eswar Damaraju;William Gruner;William Gruner.
Frontiers in Systems Neuroscience (2011)

1180 Citations

Behavioral interpretations of intrinsic connectivity networks

Angela R. Laird;P. Mickle Fox;Simon B. Eickhoff;Jessica A. Turner.
Journal of Cognitive Neuroscience (2011)

991 Citations

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

Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia

E. Damaraju;E.A. Allen;E.A. Allen;A. Belger;J.M. Ford;J.M. Ford.
NeuroImage: Clinical (2014)

818 Citations

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock.
Scientific Data (2016)

810 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

Deep learning for neuroimaging: A validation study

Sergey M. Plis;Devon R. Hjelm;Ruslan Salakhutdinov;Elena A. Allen;Elena A. Allen.
Frontiers in Neuroscience (2014)

663 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

Sex-related hemispheric lateralization of amygdala function in emotionally influenced memory: an FMRI investigation.

Larry Cahill;Melina Uncapher;Lisa Kilpatrick;Mike T. Alkire.
Learning & Memory (2004)

518 Citations

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