Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part V. A normative study of the neuropsychological battery
1994816 citationsK. A. Welsh, Nelson Butters et al.Neurologyprofile →
The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers
2006718 citationsJohn C. Morris, Sandra Weıntraub et al.Alzheimer Disease & Associated Disordersprofile →
The Alzheimer's Disease Centers' Uniform Data Set (UDS)
2009690 citationsSandra Weıntraub, David P. Salmon et al.Alzheimer Disease & Associated Disordersprofile →
The National Alzheimer's Coordinating Center (NACC) Database: The Uniform Data Set
2007609 citationsDuane Beekly, Erin M. Ramos et al.Alzheimer Disease & Associated Disordersprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Duane Beekly'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 Duane Beekly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duane Beekly more than expected).
This network shows the impact of papers produced by Duane Beekly. 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 Duane Beekly. The network helps show where Duane Beekly may publish in the future.
Co-authorship network of co-authors of Duane Beekly
This figure shows the co-authorship network connecting the top 25 collaborators of Duane Beekly.
A scholar is included among the top collaborators of Duane Beekly based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Duane Beekly. Duane Beekly is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Weıntraub, Sandra, David P. Salmon, Nathaniel D. Mercaldo, et al.. (2009). The Alzheimer's Disease Centers' Uniform Data Set (UDS). Alzheimer Disease & Associated Disorders. 23(2). 91–101.690 indexed citations breakdown →
7.
Beekly, Duane, Erin M. Ramos, Joylee Wu, et al.. (2007). The National Alzheimer's Coordinating Center (NACC) Database: The Uniform Data Set. Alzheimer Disease & Associated Disorders. 21(3). 249–258.609 indexed citations breakdown →
Morris, John C., Sandra Weıntraub, Helena C. Chui, et al.. (2006). The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers. Alzheimer Disease & Associated Disorders. 20(4). 210–216.718 indexed citations breakdown →
10.
Beekly, Duane, et al.. (2005). The National Alzheimer's Coordinating Center (NACC) Database: an Alzheimer disease database.. PubMed. 18(4). 270–7.282 indexed citations
11.
Fillenbaum, Gerda G., Duane Beekly, Steven D. Edland, et al.. (1997). Consortium to establish a registry for Alzheimer's disease: development, database structure, and selected findings.. PubMed. 18(1). 47–58.88 indexed citations
Welsh, K. A., Nelson Butters, Richard C. Mohs, et al.. (1994). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part V. A normative study of the neuropsychological battery. Neurology. 44(4). 609–609.816 indexed citations breakdown →
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.