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 31 Citations 3,757 80 World Ranking 5158 National Ranking 2229

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Neuroscience
  • Alzheimer's disease

Duygu Tosun mainly focuses on Neuroscience, Alzheimer's disease, Atrophy, Internal medicine and Pathology. His Neuroscience research integrates issues from Sobriety and Disease. He has included themes like Hippocampus and Cerebrospinal fluid in his Atrophy study.

Duygu Tosun interconnects Degenerative disease, Endocrinology and Amyloid in the investigation of issues within Cerebrospinal fluid. The Internal medicine study combines topics in areas such as Neuroplasticity, Abstinence, Brain size and Cardiology. His Pathology course of study focuses on Precuneus and Cerebral blood flow, Cerebral perfusion pressure, Blood flow, Temporal cortex and Cognitive decline.

His most cited work include:

  • Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative (240 citations)
  • CRUISE: cortical reconstruction using implicit surface evolution. (206 citations)
  • Cortical Thickness, Surface Area and Volume of the Brain Reward System in Alcohol Dependence: Relationships to Relapse and Extended Abstinence (177 citations)

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

Duygu Tosun mostly deals with Pathology, Internal medicine, Atrophy, Disease and Alzheimer's disease. Duygu Tosun focuses mostly in the field of Pathology, narrowing it down to matters related to White matter and, in some cases, Diffusion MRI. His Internal medicine research incorporates elements of Endocrinology, Oncology and Cardiology.

His study in Atrophy is interdisciplinary in nature, drawing from both Frontal lobe, Hippocampus, Neuroscience and Magnetic resonance imaging. His research integrates issues of Cerebral cortex, Positron emission tomography, Neuroimaging and Artificial intelligence in his study of Magnetic resonance imaging. His Alzheimer's disease research is multidisciplinary, incorporating elements of Cerebral atrophy, Temporal lobe, Dementia, Prospective cohort study and Precuneus.

He most often published in these fields:

  • Pathology (39.16%)
  • Internal medicine (31.33%)
  • Atrophy (29.52%)

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

  • Apolipoprotein E (13.86%)
  • Cognition (19.88%)
  • Depression (10.84%)

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

His primary areas of investigation include Apolipoprotein E, Cognition, Depression, Disease and Internal medicine. His Apolipoprotein E research is multidisciplinary, incorporating perspectives in Amyloid pet, Amyloid and Clinical trial. His Amyloid study is concerned with the larger field of Pathology.

His Cognition study which covers Amyloid beta that intersects with Cognitive decline, Dementia, Bioinformatics and Neuropsychology. The various areas that Duygu Tosun examines in his Disease study include Cross-sectional study, Putamen and Confounding. His studies deal with areas such as Dopamine transporter and Rating scale as well as Internal medicine.

Between 2019 and 2021, his most popular works were:

  • Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study (18 citations)
  • Late-Life Depression Is Associated With Reduced Cortical Amyloid Burden: Findings From the Alzheimer’s Disease Neuroimaging Initiative Depression Project (9 citations)
  • Deep Learning for Alzheimer's Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker Validation (3 citations)

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

  • Internal medicine
  • Neuroscience
  • Artificial intelligence

Convolutional neural network, Artificial intelligence, Internal medicine, Predictive value and Binary classification are his primary areas of study. He combines subjects such as Tau protein, Digital pathology, Brain tissue, Artificial neural network and Deep learning with his study of Convolutional neural network. His research in Artificial intelligence intersects with topics in Neuroimaging, Human brain and Pattern recognition.

His work deals with themes such as Cognition and Depression, which intersect with Internal medicine. His Predictive value study incorporates themes from Radiography, Retrospective cohort study and False positive rate.

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

Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative

C.R. Jack;M.A. Bernstein;B.J. Borowski;J.L. Gunter.
Alzheimers & Dementia (2010)

301 Citations

CRUISE: cortical reconstruction using implicit surface evolution.

Xiao Han;Dzung L. Pham;Duygu Tosun;Maryam E. Rettmann.
NeuroImage (2004)

262 Citations

Cortical Thickness, Surface Area and Volume of the Brain Reward System in Alcohol Dependence: Relationships to Relapse and Extended Abstinence

Timothy C. Durazzo;Duygu Tosun;Shannon Buckley;Stefan Gazdzinski.
Alcoholism: Clinical and Experimental Research (2011)

233 Citations

Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease

Ashish Raj;Eve LoCastro;Amy Kuceyeski;Duygu Tosun.
Cell Reports (2015)

138 Citations

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Xin Liu;Duygu Tosun;Michael W Weiner;Norbert Schuff.
NeuroImage (2013)

131 Citations

Relations between brain tissue loss, CSF biomarkers, and the ApoE genetic profile: a longitudinal MRI study

Duygu Tosun;Norbert Schuff;Norbert Schuff;Diana Truran-Sacrey;Leslie M. Shaw.
Neurobiology of Aging (2010)

126 Citations

Spatial patterns of brain amyloid-β burden and atrophy rate associations in mild cognitive impairment

Duygu Tosun;Norbert Schuff;Chester A. Mathis;William Jagust.
Brain (2011)

122 Citations

Increased Cortical Thickness in Male-to-Female Transsexualism

Eileen Luders;Francisco J. Sánchez;Duygu Tosun;David W. Shattuck.
Journal of Behavioral and Brain Science (2012)

110 Citations

Mapping techniques for aligning sulci across multiple brains.

Duygu Tosun;Maryam E. Rettmann;Jerry L. Prince.
Medical Image Analysis (2004)

108 Citations

Association of brain amyloid-β with cerebral perfusion and structure in Alzheimer’s disease and mild cognitive impairment

Niklas Mattsson;Niklas Mattsson;Niklas Mattsson;Duygu Tosun;Duygu Tosun;Philip S. Insel;Philip S. Insel;Alix Simonson;Alix Simonson.
Brain (2014)

102 Citations

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