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 161 Citations 101,630 753 World Ranking 807 National Ranking 521
Neuroscience D-index 144 Citations 87,546 688 World Ranking 101 National Ranking 70
Medicine D-index 144 Citations 87,715 727 World Ranking 794 National Ranking 477

Research.com Recognitions

Awards & Achievements

2023 - Research.com Neuroscience in United States Leader Award

2022 - Research.com Best Scientist Award

2013 - Potamkin Prize for Research in Pick's, Alzheimer's, and Related Diseases, American Academy of Neurology

2013 - Sedgwick Memorial Medal, American Public Health Association

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Alzheimer's disease
  • Disease

The scientist’s investigation covers issues in Alzheimer's disease, Dementia, Neuroscience, Pathology and Internal medicine. His Alzheimer's disease research incorporates themes from Positron emission tomography, Neuroimaging and Cognitive decline. The Dementia study combines topics in areas such as Stroke, Hyperintensity, Gerontology and Cohort.

His work carried out in the field of Neuroscience brings together such families of science as Disease and Neurodegeneration. His research integrates issues of Fluorodeoxyglucose and Central nervous system disease in his study of Pathology. His Internal medicine research is multidisciplinary, incorporating perspectives in Endocrinology, Magnetic resonance imaging and Cardiology.

His most cited work include:

  • Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade (2965 citations)
  • Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. (2323 citations)
  • NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease (2145 citations)

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

Alzheimer's disease, Neuroscience, Pathology, Internal medicine and Dementia are his primary areas of study. William J. Jagust works mostly in the field of Alzheimer's disease, limiting it down to topics relating to Positron emission tomography and, in certain cases, Magnetic resonance imaging, as a part of the same area of interest. His work on Neurodegeneration expands to the thematically related Neuroscience.

Pathology is closely attributed to Central nervous system disease in his research. His research in Internal medicine intersects with topics in Endocrinology, Oncology and Cardiology. While the research belongs to areas of Dementia, William J. Jagust spends his time largely on the problem of Hyperintensity, intersecting his research to questions surrounding White matter.

He most often published in these fields:

  • Alzheimer's disease (46.14%)
  • Neuroscience (47.62%)
  • Pathology (44.55%)

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

  • Neuroscience (47.62%)
  • Disease (31.64%)
  • Pathology (44.55%)

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

His primary areas of study are Neuroscience, Disease, Pathology, Internal medicine and Neuroimaging. His research on Neuroscience often connects related topics like Tau pathology. His Disease research is multidisciplinary, incorporating elements of Pathological and Atrophy.

His Pathology study combines topics from a wide range of disciplines, such as White matter and Standardized uptake value. His Internal medicine and Alzheimer's disease, Biomarker and Cognitive decline investigations all form part of his Internal medicine research activities. His Dementia research includes themes of Positron emission tomography, Neurology and Cognitive impairment.

Between 2017 and 2021, his most popular works were:

  • NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease (2145 citations)
  • Old Brains Come Uncoupled in Sleep: Slow Wave-Spindle Synchrony, Brain Atrophy, and Forgetting (142 citations)
  • Old Brains Come Uncoupled in Sleep: Slow Wave-Spindle Synchrony, Brain Atrophy, and Forgetting (142 citations)

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

  • Internal medicine
  • Disease
  • Alzheimer's disease

His primary scientific interests are in Disease, Internal medicine, Neuroscience, Dementia and Alzheimer's disease. His Disease research is classified as research in Pathology. William J. Jagust has researched Internal medicine in several fields, including Endocrinology, Neuroimaging and Oncology.

His work deals with themes such as Cognition and Cognitive decline, which intersect with Neuroimaging. His Dementia study incorporates themes from Neurology, Neurodegeneration, Geriatric psychiatry and Intensive care medicine. William J. Jagust combines subjects such as Standardized uptake value and Episodic memory with his study of Alzheimer's disease.

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

NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease

Clifford R. Jack;David A. Bennett;Kaj Blennow;Maria C. Carrillo.
Alzheimers & Dementia (2018)

4410 Citations

Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade

Clifford R Jack;David S Knopman;William J Jagust;Leslie M Shaw.
Lancet Neurology (2010)

4400 Citations

The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease

Marilyn S. Albert;Steven T. DeKosky;Dennis Dickson;Bruno Dubois.
FOCUS (2013)

4014 Citations

Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers.

Clifford R Jack;David S Knopman;William J Jagust;Ronald C Petersen.
Lancet Neurology (2013)

3424 Citations

Alzheimer's Disease Neuroimaging Initiative

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

1962 Citations

Criteria for the diagnosis of ischemic vascular dementia proposed by the State of California Alzheimer's Disease Diagnostic and Treatment Centers

H. C. Chui;J. I. Victoroff;D. Margolin;W. Jagust.
Neurology (1992)

1621 Citations

The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Michael W. Weiner;Michael W. Weiner;Dallas P. Veitch;Paul S. Aisen;Laurel A Beckett.
Alzheimers & Dementia (2012)

1233 Citations

Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization.

R. C. Petersen;P. S. Aisen;Laurel A Beckett;M. C. Donohue.
Neurology (2010)

1206 Citations

Ways toward an early diagnosis in Alzheimer’s disease: The Alzheimer’s Disease Neuroimaging Initiative (ADNI)

Susanne G. Mueller;Susanne G. Mueller;Michael W. Weiner;Michael W. Weiner;Leon J. Thal;Ronald C. Petersen.
Alzheimers & Dementia (2005)

1054 Citations

A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers

Clifford R. Jack;David A. Bennett;Kaj Blennow;Maria C. Carrillo.
Neurology (2016)

1046 Citations

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Kaj Blennow

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Alzheimer's Disease Neuroimaging Initiative

Alzheimer's Disease Neuroimaging Initiative

University of North Carolina at Chapel Hill

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Frederik Barkhof

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