D-Index & Metrics Best Publications

D-Index & Metrics

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 32 Citations 5,007 69 World Ranking 4864 National Ranking 2097

Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Cognition
  • Schizophrenia

James J. Levitt spends much of his time researching Psychosis, Schizophrenia, Audiology, Neuroscience and White matter. His work in Psychosis addresses issues such as Frontal lobe, which are connected to fields such as Third ventricle, Thalamus and Caudate nucleus. His work on Schizotypal personality disorder as part of general Schizophrenia study is frequently linked to Partial agonist, bridging the gap between disciplines.

His research in Audiology intersects with topics in First episode, Psychiatry, Prefrontal cortex and Thought disorder. The study incorporates disciplines such as Fractional anisotropy and Diffusion MRI in addition to Neuroscience. His study looks at the relationship between White matter and fields such as Laterality, as well as how they intersect with chemical problems.

His most cited work include:

  • MRI anatomy of schizophrenia. (625 citations)
  • DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity. (388 citations)
  • A placebo-controlled trial of D-cycloserine added to conventional neuroleptics in patients with schizophrenia. (383 citations)

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

James J. Levitt mainly investigates Neuroscience, Schizophrenia, White matter, Magnetic resonance imaging and Prefrontal cortex. His study in Schizophrenia is interdisciplinary in nature, drawing from both Psychosis, Frontal lobe, Neuropsychology and Audiology. The White matter study combines topics in areas such as Ventrolateral prefrontal cortex and Diffusion MRI.

His biological study spans a wide range of topics, including Cerebellum, Voxel and Anatomy. His Prefrontal cortex research includes elements of Inferior frontal gyrus, Planum temporale, Middle frontal gyrus, Superior frontal gyrus and Episodic memory. His Fractional anisotropy research is multidisciplinary, incorporating perspectives in Internal capsule and Corpus callosum.

He most often published in these fields:

  • Neuroscience (72.32%)
  • Schizophrenia (64.29%)
  • White matter (33.93%)

What were the highlights of his more recent work (between 2016-2021)?

  • White matter (33.93%)
  • Neuroscience (72.32%)
  • Schizophrenia (64.29%)

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

James J. Levitt mainly focuses on White matter, Neuroscience, Schizophrenia, Diffusion MRI and Audiology. His work on Fractional anisotropy as part of general White matter research is frequently linked to Deletion syndrome and Association, bridging the gap between disciplines. His research is interdisciplinary, bridging the disciplines of Magnetic resonance imaging and Neuroscience.

His research in Schizophrenia focuses on subjects like Tractography, which are connected to Iowa gambling task, MRI diffusion, Anatomy and Healthy subjects. His biological study spans a wide range of topics, including Clinical psychology, Corpus callosum, Cognition and Confounding. His Audiology study combines topics in areas such as Middle frontal gyrus, Prefrontal cortex, Inferior frontal gyrus and Neuropsychology.

Between 2016 and 2021, his most popular works were:

  • Dynamic Default Mode Network across Different Brain States (27 citations)
  • Dynamic Default Mode Network across Different Brain States (27 citations)
  • Reduced Structural Connectivity in Frontostriatal White Matter Tracts in the Associative Loop in Schizophrenia (26 citations)

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

  • Cognition
  • Neuroscience
  • Schizophrenia

James J. Levitt focuses on Neuroscience, Anterior cingulate cortex, Schizophrenia, Diffusion MRI and White matter. His work in the fields of Brain mapping and Default mode network overlaps with other areas such as Brain state, Control reconfiguration and Topology. His research in Anterior cingulate cortex intersects with topics in First episode, Magnetic resonance imaging and Psychopathology.

His Schizophrenia study integrates concerns from other disciplines, such as Mirror neuron, Theory of mind and Neuropsychology. A large part of his Diffusion MRI studies is devoted to Fractional anisotropy.

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

MRI anatomy of schizophrenia.

Robert William McCarley;Cynthia Gayle Wible;Melissa Frumin;Yoshio Hirayasu.
Biological Psychiatry (1999)

874 Citations

A placebo-controlled trial of D-cycloserine added to conventional neuroleptics in patients with schizophrenia.

Donald C. Goff;Guochuan Tsai;James Levitt;Edward Amico.
Archives of General Psychiatry (1999)

499 Citations

DTI and MTR abnormalities in schizophrenia: analysis of white matter integrity.

Marek R. Kubicki;H. Park;H. Park;H. Park;Carl-Fredrik Westin;Paul Gerard Nestor.
NeuroImage (2005)

483 Citations

Framework for the Statistical Shape Analysis of Brain Structures using SPHARM-PDM

Martin Styner;Ipek Oguz;Shun Xu;Christian Brechbühler.
Insight Journal (2006)

432 Citations

Total and regional brain volumes in a population-based normative sample from 4 to 18 years: The NIH MRI study of normal brain development

W. S. Ball;A. W. Byars;M. Schapiro;W. Bommer.
Cerebral Cortex (2012)

392 Citations

Prefrontal cortex, negative symptoms, and schizophrenia: an MRI study.

Cynthia G Wible;Jane Anderson;Martha E Shenton;Ashley Kricun.
Psychiatry Research-neuroimaging (2001)

241 Citations

Caudate, putamen, and globus pallidus volume in schizophrenia: A quantitative MRI study

Hiroto Hokama;Martha E. Shenton;Paul G. Nestor;Ron Kikinis.
Psychiatry Research-neuroimaging (1995)

205 Citations

Orbitofrontal volume deficit in schizophrenia and thought disorder

M. Nakamura;Paul Gerard Nestor;James Jonathan Levitt;Adam Cohen.
Brain (2007)

200 Citations

Fornix Integrity and Hippocampal Volume in Male Schizophrenic Patients

Noriomi Kuroki;Marek R. Kubicki;Paul Gerard Nestor;Dean F. Salisbury;Dean F. Salisbury.
Biological Psychiatry (2006)

191 Citations

Prefrontal Gray Matter Volume Reduction in First Episode Schizophrenia

Y. Hirayasu;Shin Tanaka;Martha Elizabeth Shenton;Dean Salisbury.
Cerebral Cortex (2001)

185 Citations

Best Scientists Citing James J. Levitt

Martha E. Shenton

Martha E. Shenton

Brigham and Women's Hospital

Publications: 154

Robert W. McCarley

Robert W. McCarley

Harvard Medical School

Publications: 88

Marek Kubicki

Marek Kubicki

Brigham and Women's Hospital

Publications: 70

Matcheri S. Keshavan

Matcheri S. Keshavan

Beth Israel Deaconess Medical Center

Publications: 63

Christos Pantelis

Christos Pantelis

University of Melbourne

Publications: 63

Martin Styner

Martin Styner

University of North Carolina at Chapel Hill

Publications: 59

Larry J. Seidman

Larry J. Seidman

Beth Israel Deaconess Medical Center

Publications: 58

Dennis Velakoulis

Dennis Velakoulis

University of Melbourne

Publications: 50

René S. Kahn

René S. Kahn

Icahn School of Medicine at Mount Sinai

Publications: 45

Stephen J. Wood

Stephen J. Wood

University of Melbourne

Publications: 42

Vince D. Calhoun

Vince D. Calhoun

Georgia State University

Publications: 41

Jun Soo Kwon

Jun Soo Kwon

Seoul National University

Publications: 41

Ingrid Agartz

Ingrid Agartz

University of Oslo

Publications: 39

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 38

Sylvain Bouix

Sylvain Bouix

Brigham and Women's Hospital

Publications: 37

Ron Kikinis

Ron Kikinis

Brigham and Women's Hospital

Publications: 34

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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