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 53 Citations 28,523 110 World Ranking 2034 National Ranking 968

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Magnetic resonance imaging
  • Neuroscience

The scientist’s investigation covers issues in Magnetic resonance imaging, Alzheimer's disease, Pathology, Neuroscience and Hippocampus. His work deals with themes such as Nuclear medicine and Brain mapping, which intersect with Magnetic resonance imaging. His Alzheimer's disease research is multidisciplinary, relying on both Biomarker, Neuroimaging and Degenerative disease.

Ronald J. Killiany has included themes like White matter and Hyperintensity in his Pathology study. His work on Hippocampal formation and Cognition as part of general Neuroscience study is frequently connected to Scopolamine Hydrobromide, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research in Hippocampus intersects with topics in Human brain and Lateral ventricles.

His most cited work include:

  • An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. (6385 citations)
  • Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. (5558 citations)
  • The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. (2619 citations)

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

Ronald J. Killiany mainly focuses on Neuroscience, Magnetic resonance imaging, Neuroimaging, Pathology and Internal medicine. His research on Neuroscience often connects related topics like Disease. His Magnetic resonance imaging research is multidisciplinary, incorporating elements of Alzheimer's disease, Segmentation, Nuclear medicine and Lateral ventricles.

His Neuroimaging study combines topics in areas such as Alzheimer's Disease Neuroimaging Initiative, Diffusion MRI, Resting state fMRI, Artificial intelligence and Pattern recognition. As a part of the same scientific family, Ronald J. Killiany mostly works in the field of Pathology, focusing on Entorhinal cortex and, on occasion, Parietal lobe. His research in Internal medicine intersects with topics in Endocrinology, Oncology and Cardiology.

He most often published in these fields:

  • Neuroscience (34.46%)
  • Magnetic resonance imaging (25.99%)
  • Neuroimaging (20.90%)

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

  • Neuroscience (34.46%)
  • Dementia (14.12%)
  • Internal medicine (18.64%)

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

Neuroscience, Dementia, Internal medicine, Neuroimaging and Cognition are his primary areas of study. His Dementia study incorporates themes from Neuropathology, Hyperintensity and Rhinal sulcus. As a member of one scientific family, Ronald J. Killiany mostly works in the field of Internal medicine, focusing on Cardiology and, on occasion, Fluid-attenuated inversion recovery, Senile plaques and Cerebral amyloid angiopathy.

His Neuroimaging research includes themes of White matter, Artificial intelligence and Disease classification. His work carried out in the field of Hippocampus brings together such families of science as Parietal lobe, Spatial ability and Cingulate sulcus. His Default mode network study frequently draws connections to other fields, such as Magnetic resonance imaging.

Between 2017 and 2021, his most popular works were:

  • Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states (61 citations)
  • Corticosterone potentiates DFP-induced neuroinflammation and affects high-order diffusion imaging in a rat model of Gulf War Illness. (37 citations)
  • White matter signal abnormalities in former National Football League players. (27 citations)

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

  • Internal medicine
  • Neuroscience
  • Magnetic resonance imaging

Ronald J. Killiany mainly investigates Dementia, Neuroscience, Internal medicine, Traumatic brain injury and Disease. His Dementia study integrates concerns from other disciplines, such as Neuropathology and Pediatrics. His Pediatrics research integrates issues from Cognition, Cognitive test, Alzheimer's disease, Cognitive reserve and Cohort.

Posterior parietal cortex, Temporal cortex, Insula, Orbitofrontal cortex and Thalamus are subfields of Neuroscience in which his conducts study. Ronald J. Killiany combines subjects such as Occupational safety and health and Emergency medicine with his study of Traumatic brain injury. His Disease research includes elements of Biomarker, Arteriosclerosis, Frontal lobe and Risk factor.

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

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

Rahul S. Desikan;Florent Ségonne;Bruce Fischl;Bruce Fischl;Brian T. Quinn.
NeuroImage (2006)

6457 Citations

Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Bruce Fischl;David H. Salat;Evelina Busa;Marilyn Albert.
Neuron (2002)

6079 Citations

The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Clifford R. Jack;Matt A. Bernstein;Nick C. Fox;Paul Thompson.
Journal of Magnetic Resonance Imaging (2008)

2619 Citations

Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer.

Xiao Han;Jorge Jovicich;David Salat;Andre van der Kouwe.
NeuroImage (2006)

1226 Citations

Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease.

Ronald J. Killiany;Teresa Gomez-Isla;Mark Moss;Ron Kikinis.
Annals of Neurology (2000)

783 Citations

MRI measures of entorhinal cortex vs hippocampus in preclinical AD.

R. J. Killiany;B. T. Hyman;T. Gomez-Isla;M. B. Moss.
Neurology (2002)

631 Citations

MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths

Jorge Jovicich;Silvester Czanner;Xiao Han;David H. Salat.
NeuroImage (2009)

622 Citations

Medial temporal lobe function and structure in mild cognitive impairment

Bradford C. Dickerson;David H. Salat;Julianna F. Bates;Monika Atiya.
Annals of Neurology (2004)

594 Citations

Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis

Y. Iturria-Medina;R. C. Sotero;P. J. Toussaint;J. M. Mateos-Pérez.
Nature Communications (2016)

523 Citations

White matter changes with normal aging

C.R.G. Guttmann;F. A. Jolesz;R. Kikinis;R. J. Killiany.
Neurology (1998)

502 Citations

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