D-Index & Metrics Best Publications
Psychology
USA
2023
Neuroscience
USA
2023

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
Psychology D-index 158 Citations 82,797 822 World Ranking 35 National Ranking 16
Neuroscience D-index 158 Citations 83,696 837 World Ranking 59 National Ranking 42
Medicine D-index 154 Citations 79,282 813 World Ranking 533 National Ranking 319

Research.com Recognitions

Awards & Achievements

2023 - Research.com Psychology in United States Leader Award

2023 - Research.com Neuroscience in United States Leader Award

2016 - Fellow of the American Association for the Advancement of Science (AAAS)

1988 - Fellow of the American Psychological Association (APA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Cognition
  • Internal medicine
  • Statistics

The scientist’s investigation covers issues in Developmental psychology, Cognition, Neuroscience, Psychosis and Schizophrenia. The Developmental psychology study combines topics in areas such as Audiology, Connectome, Facial expression, Neuroimaging and Social cognition. His Cognition research is multidisciplinary, incorporating elements of Cognitive psychology and Cohort.

He has researched Neuroscience in several fields, including White matter and Cerebral blood flow. His research integrates issues of Magnetic resonance imaging, Severity of illness and Clinical psychology in his study of Psychosis. His Schizophrenia study frequently involves adjacent topics like Neuropsychology.

His most cited work include:

  • Neuropsychological Function in Schizophrenia: Selective Impairment in Memory and Learning (1062 citations)
  • An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (979 citations)
  • An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data (979 citations)

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

His primary scientific interests are in Cognition, Schizophrenia, Clinical psychology, Neuroscience and Psychiatry. His Cognition research includes themes of Developmental psychology, Cognitive psychology and Audiology. His Developmental psychology research integrates issues from Facial expression and Social cognition.

His Schizophrenia research incorporates themes from Psychosis and Internal medicine. Ruben C. Gur has included themes like Magnetic resonance imaging and Cohort in his Psychosis study. His studies deal with areas such as Young adult, Schizophrenia, Depression and Anxiety as well as Clinical psychology.

He most often published in these fields:

  • Cognition (29.68%)
  • Schizophrenia (23.87%)
  • Clinical psychology (24.41%)

What were the highlights of his more recent work (between 2018-2021)?

  • Clinical psychology (24.41%)
  • Cognition (29.68%)
  • Psychopathology (10.32%)

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

Clinical psychology, Cognition, Psychopathology, Neurocognitive and Neuroscience are his primary areas of study. His studies in Clinical psychology integrate themes in fields like Psychosis, Anxiety, Neuroimaging, Depression and Cohort. His work in Psychosis tackles topics such as Schizophrenia which are related to areas like Major depressive disorder.

His Neuroimaging research is multidisciplinary, incorporating perspectives in White matter and Healthy individuals. Many of his studies on Cognition apply to Audiology as well. His Neuroscience research incorporates elements of Schizophrenia and Association.

Between 2018 and 2021, his most popular works were:

  • The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight. (186 citations)
  • Resilience, COVID-19-related stress, anxiety and depression during the pandemic in a large population enriched for healthcare providers. (65 citations)
  • Resilience, COVID-19-related stress, anxiety and depression during the pandemic in a large population enriched for healthcare providers. (65 citations)

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

  • Cognition
  • Internal medicine
  • Statistics

Ruben C. Gur focuses on Cognition, Clinical psychology, Neuroimaging, Psychopathology and Neurocognitive. His Cognition study results in a more complete grasp of Neuroscience. His research in Clinical psychology intersects with topics in Young adult and Computerized adaptive testing.

His study in Neuroimaging is interdisciplinary in nature, drawing from both White matter, Generalized anxiety disorder, Cortical surface and Data science. In his study, Cohort, Schizophrenia, Internal capsule, Antipsychotic and Atrophy is strongly linked to Psychosis, which falls under the umbrella field of Psychopathology. His Schizophrenia research entails a greater understanding of Psychiatry.

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

Neuropsychological Function in Schizophrenia: Selective Impairment in Memory and Learning

Andrew J. Saykin;Ruben C. Gur;Raquel E. Gur;P. David Mozley.
Archives of General Psychiatry (1991)

1653 Citations

Neuropsychological Deficits in Neuroleptic Naive Patients With First-Episode Schizophrenia

Andrew J. Saykin;Andrew J. Saykin;Derri L. Shtasel;Raquel E. Gur;D. Brian Kester.
Archives of General Psychiatry (1994)

1523 Citations

The Science of Sex Differences in Science and Mathematics

Diane F. Halpern;Camilla P. Benbow;David C. Geary;Ruben C. Gur.
Psychological Science in the Public Interest (2007)

1433 Citations

An Improved Framework for Confound Regression and Filtering for Control of Motion Artifact in the Preprocessing of Resting-State Functional Connectivity Data

Theodore D. Satterthwaite;Mark A. Elliott;Raphael T. Gerraty;Kosha Ruparel.
NeuroImage (2013)

1334 Citations

Sex differences in the structural connectome of the human brain.

Madhura Ingalhalikar;Alex Smith;Drew Parker;Theodore D. Satterthwaite.
Proceedings of the National Academy of Sciences of the United States of America (2014)

1187 Citations

Sex Differences in Brain Gray and White Matter in Healthy Young Adults: Correlations with Cognitive Performance

Ruben C. Gur;Bruce I. Turetsky;Mie Matsui;Michelle Yan.
The Journal of Neuroscience (1999)

1128 Citations

Social Cognition in Schizophrenia: An NIMH Workshop on Definitions, Assessment, and Research Opportunities

Michael F. Green;David L. Penn;Richard Bentall;William T. Carpenter;William T. Carpenter.
Schizophrenia Bulletin (2008)

1101 Citations

Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

Theodore D. Satterthwaite;Daniel H. Wolf;James Loughead;Kosha Ruparel.
NeuroImage (2012)

1045 Citations

Association between decline in brain dopamine activity with age and cognitive and motor impairment in healthy individuals

Nora D. Volkow;Ruben C. Gur;Gene Jack Wang;Joanna S. Fowler.
American Journal of Psychiatry (1998)

989 Citations

Facial Emotion Recognition in Schizophrenia: Intensity Effects and Error Pattern

Christian G. Kohler;Travis H. Turner;Warren B. Bilker;Colleen M. Brensinger.
American Journal of Psychiatry (2003)

963 Citations

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