William E. Klunk

425 papers receiving 62.1k citations

William E. Klunk's Hit Papers

Astrocyte reactivity influences amyloid-β effects on tau pathology in preclinical Alzheimer’s disease 2023 · 219 citations
2190+6+12Years since publication5.0k10.0k15.0k

Peers

William E. Klunk
Comparison fields: 5 of 196
  • Psychiatry and Mental health 26.4k
  • Physiology 27.6k
  • Neurology 6.8k
  • Biological Psychiatry 1.6k
  • Cognitive Neuroscience 9.9k
Replace Eric M. Reiman with:
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Steven T. DeKosky United States
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Citations per year

Countries citing papers authored by William E. Klunk

Since Specialization
Citations

This map shows the geographic impact of William E. Klunk'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 William E. Klunk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Klunk more than expected).

Fields of papers citing papers by William E. Klunk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Klunk. 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 William E. Klunk. The network helps show where William E. Klunk may publish in the future.

Co-authors

The 25 scholars most cited alongside William E. Klunk, 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 William E. Klunk Line = papers co-authored together William E. Klunk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 439 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
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201115332
2
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
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20043712
3
Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease
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20123086
4
Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory
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20051755
5
Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease
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20141619
6
Prevalence of Cerebral Amyloid Pathology in Persons Without Dementia
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20151300
7
Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humans
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20051075
8
The Centiloid Project: Standardizing quantitative amyloid plaque estimation by PET
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2014957
9
[ 11 C]PIB in a nondemented population
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2006917
10
Imaging β-amyloid burden in aging and dementia
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2007897
11
Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly
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2008897
12
Synthesis and Evaluation of 11C-Labeled 6-Substituted 2-Arylbenzothiazoles as Amyloid Imaging Agents
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2003891
13
11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment
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2008819
14
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
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2008766
15
Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
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2011714
16
Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease
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2009682
17
-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer's disease
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2007680
18
11C-PiB PET assessment of change in fibrillar amyloid-β load in patients with Alzheimer's disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study
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2010591
19
Kinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
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2005582
20
Quantitative evaluation of congo red binding to amyloid-like proteins with a beta-pleated sheet conformation.
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1989553

About William E. Klunk

William E. Klunk is a scholar working on Psychiatry and Mental health, Physiology, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology, having authored 439 papers that have together received 64.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (200 papers), Alzheimer's disease research and treatments (174 papers), Functional Brain Connectivity Studies (49 papers), Down syndrome and intellectual disability research (49 papers), Medical Imaging Techniques and Applications (34 papers), Advanced Neuroimaging Techniques and Applications (32 papers), Computational Drug Discovery Methods (19 papers) and Advanced MRI Techniques and Applications (19 papers). The work is most often cited by research in Psychiatry and Mental health (26.4k citations), Physiology (27.6k citations), Neurology (6.8k citations), Biological Psychiatry (1.6k citations) and Cognitive Neuroscience (9.9k citations). William E. Klunk has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Chester A. Mathis, John C. Morris, Bradley T. Hyman, Steven T. DeKosky, David S. Knopman, Clifford R. Jack, Martin N. Rossor, Richard C. Mohs, Howard Mark Chertkow and Jennifer J. Manly. Their work appears in journals such as Alzheimer s & Dementia, Neurobiology of Aging, Neurology, Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring and NeuroImage.

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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