Charles DeCarli

66.7k citations
455 papers · 24.4k · 3 hit papers · h-index 92

Impact in

Papers in

Charles DeCarli

430 papers receiving 24.1k citations

Charles DeCarli's Hit Papers

Impact of multiple pathologies on the threshold for clinically overt dementia 2017 · 449 citations
4490+6+13Years since publication200400600

Peers

Charles DeCarli
Comparison fields: 5 of 184
  • Psychiatry and Mental health 8.1k
  • Neurology 2.7k
  • Physiology 4.4k
  • Neurology 2.3k
  • Cognitive Neuroscience 3.0k
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Citations per year

Countries citing papers authored by Charles DeCarli

Since Specialization
Citations

This map shows the geographic impact of Charles DeCarli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Charles DeCarli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles DeCarli more than expected).

Fields of papers citing papers by Charles DeCarli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles DeCarli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Charles DeCarli. The network helps show where Charles DeCarli may publish in the future.

Co-authors

The 25 scholars most cited alongside Charles DeCarli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Charles DeCarli Line = papers co-authored together Charles DeCarli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 455 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers
Hit paper breakdown →
2006725
2
The Alzheimer's Disease Centers' Uniform Data Set (UDS)
Hit paper breakdown →
2009703
3
Impact of multiple pathologies on the threshold for clinically overt dementia
Hit paper breakdown →
2017449
4 2002444
5 2009441
6 2004404
7 2004395
8 2004369
9 2003294
10 2006291
11 2013288
12 2010267
13 2004254
14 2009251
15 2012230
16 2004224
17 2008217
18 2009217
19 2007217
20 2013214

About Charles DeCarli

Charles DeCarli is a scholar working on Psychiatry and Mental health, Physiology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pulmonary and Respiratory Medicine, having authored 455 papers that have together received 24.4k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (185 papers), Alzheimer's disease research and treatments (47 papers), Advanced Neuroimaging Techniques and Applications (32 papers), Functional Brain Connectivity Studies (32 papers), Cerebrovascular and Carotid Artery Diseases (27 papers), Neurological Disease Mechanisms and Treatments (24 papers), Cardiovascular Health and Disease Prevention (18 papers) and Intracerebral and Subarachnoid Hemorrhage Research (16 papers). The work is most often cited by research in Psychiatry and Mental health (8.1k citations), Neurology (2.7k citations), Physiology (4.4k citations), Neurology (2.3k citations) and Cognitive Neuroscience (3.0k citations). Charles DeCarli has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Alexa Beiser, Sudha Seshadri, Philip A. Wolf, Dan Mungas, Bruce Reed, Evan Fletcher, Rhoda Au, William J. Jagust, Danielle Harvey and Ramachandran S. Vasan. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Stroke, Neurobiology of Aging and Journal of Alzheimer s Disease.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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