What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Cognition
- Alzheimer's disease
Dan M Mungas mainly investigates Dementia, Alzheimer's disease, Cognition, Internal medicine and Cognitive decline.
The various areas that Dan M Mungas examines in his Dementia study include Psychiatry, Activities of daily living, Hyperintensity and Gerontology.
The study incorporates disciplines such as White matter and Neuropsychology in addition to Hyperintensity.
His Alzheimer's disease research is multidisciplinary, incorporating elements of Neuroimaging, Neuroscience and Degenerative disease.
His studies deal with areas such as Developmental psychology, Psychometrics and Clinical psychology as well as Cognition.
The various areas that Dan M Mungas examines in his Internal medicine study include Endocrinology and Cardiology.
His most cited work include:
- Cognition assessment using the NIH Toolbox (645 citations)
- White matter lesions impair frontal lobe function regardless of their location (404 citations)
- Prevalence of Dementia in Older Latinos: The Influence of Type 2 Diabetes Mellitus, Stroke and Genetic Factors (311 citations)
What are the main themes of his work throughout his whole career to date?
Dan M Mungas mostly deals with Cognition, Dementia, Cognitive decline, Gerontology and Clinical psychology.
His Cognition study integrates concerns from other disciplines, such as Developmental psychology, Cognitive psychology and Cohort.
In his study, Construct validity is inextricably linked to NIH Toolbox, which falls within the broad field of Developmental psychology.
Dan M Mungas interconnects Alzheimer's disease, Psychiatry and Hyperintensity in the investigation of issues within Dementia.
His work carried out in the field of Alzheimer's disease brings together such families of science as Neuroscience and Degenerative disease.
His biological study spans a wide range of topics, including Vascular dementia and Audiology.
He most often published in these fields:
- Cognition (42.90%)
- Dementia (35.93%)
- Cognitive decline (19.50%)
What were the highlights of his more recent work (between 2017-2021)?
- Cognition (42.90%)
- Cohort (13.37%)
- Dementia (35.93%)
In recent papers he was focusing on the following fields of study:
Dan M Mungas focuses on Cognition, Cohort, Dementia, Gerontology and Episodic memory.
His Cognition research includes themes of Cognitive psychology, Association, Clinical psychology and Cognitive decline.
In his study, Positron emission tomography is strongly linked to Disease, which falls under the umbrella field of Cohort.
His Dementia study is focused on Internal medicine in general.
His work investigates the relationship between Gerontology and topics such as Ethnically diverse that intersect with problems in Oldest old.
His Episodic memory research incorporates elements of Neuropsychological assessment, Semantic memory, Prospective cohort study and Brain size.
Between 2017 and 2021, his most popular works were:
- Multisite study of the relationships between antemortem [11C]PIB‐PET Centiloid values and postmortem measures of Alzheimer's disease neuropathology (49 citations)
- Combined neuropathological pathways account for age‐related risk of dementia (46 citations)
- Education amplifies brain atrophy effect on cognitive decline: implications for cognitive reserve. (35 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Internal medicine
- Disease
His scientific interests lie mostly in Cognition, Dementia, Cohort, Cognitive decline and Disease.
His work deals with themes such as Cognitive psychology, Temporal lobe and Association, which intersect with Cognition.
His studies in Dementia integrate themes in fields like Cohort study, Quartile, Health indicator, Clinical psychology and Early childhood.
Audiology and Fractional anisotropy is closely connected to Neuropsychology in his research, which is encompassed under the umbrella topic of Cohort.
His Cognitive decline study incorporates themes from Developmental psychology, Socioeconomic status, Longitudinal cohort and Affect.
His research integrates issues of Positron emission tomography, Neuroimaging and Cognitive aging in his study of 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.
