D-Index & Metrics Best Publications
Research.com 2022 Best Scientist Award Badge
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
Best Scientists D-index 178 Citations 128,055 1,305 World Ranking 462 National Ranking 310
Neuroscience D-index 179 Citations 128,946 1,128 World Ranking 31 National Ranking 22
Medicine D-index 179 Citations 131,076 1,249 World Ranking 204 National Ranking 135

Research.com Recognitions

Awards & Achievements

2023 - Research.com Neuroscience in United States Leader Award

2022 - Research.com Best Scientist Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Neuroscience
  • Artificial intelligence

Arthur W. Toga mostly deals with Neuroscience, Brain mapping, Magnetic resonance imaging, Neuroimaging and Alzheimer's disease. His Neuroscience study frequently links to other fields, such as Anatomy. His work deals with themes such as Brain atlas, Artificial intelligence, Diffusion MRI, Hippocampal formation and Cognitive decline, which intersect with Brain mapping.

His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Frontal lobe, Cortical surface and Temporal lobe. His Neuroimaging study combines topics in areas such as Nuclear medicine, Clinical trial and Gerontology. He has researched Alzheimer's disease in several fields, including Dementia and Atrophy.

His most cited work include:

  • Dynamic mapping of human cortical development during childhood through early adulthood (3960 citations)
  • Mapping cortical change across the human life span (1824 citations)
  • A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM) (1671 citations)

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

Arthur W. Toga spends much of his time researching Neuroscience, Artificial intelligence, Neuroimaging, Brain mapping and Magnetic resonance imaging. Arthur W. Toga interconnects White matter and Disease in the investigation of issues within Neuroscience. His Artificial intelligence study combines topics from a wide range of disciplines, such as Tractography, Machine learning, Computer vision and Pattern recognition.

As part of the same scientific family, Arthur W. Toga usually focuses on Neuroimaging, concentrating on Alzheimer's disease and intersecting with Atrophy and Dementia. His research on Brain mapping frequently links to adjacent areas such as Hippocampal formation. His Magnetic resonance imaging study incorporates themes from Internal medicine and Anatomy.

He most often published in these fields:

  • Neuroscience (30.75%)
  • Artificial intelligence (20.58%)
  • Neuroimaging (15.95%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuroscience (30.75%)
  • Neuroimaging (15.95%)
  • Artificial intelligence (20.58%)

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

Neuroscience, Neuroimaging, Artificial intelligence, Disease and Cognition are his primary areas of study. His research in Neuroscience is mostly concerned with Hippocampus. His work investigates the relationship between Artificial intelligence and topics such as Diffusion MRI that intersect with problems in Human Connectome Project.

Disease is a primary field of his research addressed under Internal medicine. His research in Cognitive decline intersects with topics in Perivascular space and Temporal lobe. Magnetic resonance imaging covers Arthur W. Toga research in White matter.

Between 2017 and 2021, his most popular works were:

  • Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction. (337 citations)
  • The role of brain vasculature in neurodegenerative disorders. (230 citations)
  • Vascular dysfunction-The disregarded partner of Alzheimer's disease (175 citations)

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

  • Internal medicine
  • Artificial intelligence
  • Statistics

Arthur W. Toga mainly investigates Disease, Biomarker, Neuroscience, Diffusion MRI and Internal medicine. His Disease research includes elements of Gerontology and Cerebral blood flow. Arthur W. Toga studies Neuroscience, focusing on Cerebral cortex in particular.

When carried out as part of a general Diffusion MRI research project, his work on Tractography is frequently linked to work in Neurite, therefore connecting diverse disciplines of study. His work carried out in the field of Internal medicine brings together such families of science as Cognition and Oncology. His Dementia research integrates issues from Alzheimer's disease and Atrophy.

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

Dynamic mapping of human cortical development during childhood through early adulthood

Nitin Gogtay;Jay N. Giedd;Leslie Lusk;Kiralee M. Hayashi.
Proceedings of the National Academy of Sciences of the United States of America (2004)

6346 Citations

Mapping cortical change across the human life span

Elizabeth R. Sowell;Bradley S. Peterson;Paul M. Thompson;Suzanne E. Welcome.
Nature Neuroscience (2003)

2676 Citations

A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)

J. Mazziotta;A. Toga;A. Evans;P. Fox.
Philosophical Transactions of the Royal Society B (2001)

2306 Citations

Alzheimer's Disease Neuroimaging Initiative

Susanne G. Mueller;Michael W. Weiner;Leon J. Thal;Ronald C. Petersen.
NeuroImage (2008)

1962 Citations

In vivo evidence for post-adolescent brain maturation in frontal and striatal regions.

Elizabeth R. Sowell;Paul M. Thompson;Colin J. Holmes;Terry L. Jernigan.
Nature Neuroscience (1999)

1885 Citations

Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children

Elizabeth R. Sowell;Paul M. Thompson;Christiana M. Leonard;Suzanne E. Welcome.
The Journal of Neuroscience (2004)

1740 Citations

Mapping brain asymmetry

Arthur W. Toga;Paul M. Thompson.
Nature Reviews Neuroscience (2003)

1584 Citations

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Susumu Mori;Susumu Mori;Kenichi Oishi;Hangyi Jiang;Li Jiang.
NeuroImage (2008)

1525 Citations

A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development: The International Consortium for Brain Mapping (ICBM)

John C. Mazziotta;Arthur W. Toga;Alan Evans;Peter Fox.
NeuroImage (1995)

1411 Citations

Enhancement of MR images using registration for signal averaging

Colin J. Holmes;Rick Hoge;Louis Collins;Roger Woods.
Journal of Computer Assisted Tomography (1998)

1392 Citations

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