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 Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease
2009627 citationsKathryn A. Ellis, Ashley I. Bush et al.International Psychogeriatricsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of David Darby'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 David Darby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Darby more than expected).
This network shows the impact of papers produced by David Darby. 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 David Darby. The network helps show where David Darby may publish in the future.
Co-authorship network of co-authors of David Darby
This figure shows the co-authorship network connecting the top 25 collaborators of David Darby.
A scholar is included among the top collaborators of David Darby 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 David Darby. David Darby is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Strang‐Karlsson, Sonja, Sture Andersson, Maria Paile‐Hyvärinen, et al.. (2010). Slower Reaction Times and Impaired Learning in Young Adults With Birth Weight < 1500 g. WOS.1 indexed citations
11.
Ellis, Kathryn A., Ashley I. Bush, David Darby, et al.. (2009). The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease. International Psychogeriatrics. 21(4). 672–687.627 indexed citations breakdown →
12.
Parsons, MW, P. Alan Barber, Jonathan B. Chalk, et al.. (2002). Results from the pilot phase of the Echoplanar Imaging Thrombolysis Evaluation Trial (EPITHET). Stroke. 33(1). 356–356.9 indexed citations
Darby, David. (1982). The early vertebrate Astraspis, habitat based on a lithologic association. Journal of Paleontology. 56(5). 1187–1196.16 indexed citations
16.
Darby, David & Richard W. Ojakangas. (1980). Gastroliths from an Upper Cretaceous plesiosaur. Journal of Paleontology. 54(3). 548–556.39 indexed citations
17.
Ojakangas, Richard W. & David Darby. (1976). The earth, past & present. McGraw-Hill eBooks.
18.
Darby, David, et al.. (1965). A Revision of the Ordovician Trilobite Asaphus platycephalus Stokes. Deep Blue (University of Michigan).2 indexed citations
19.
Darby, David & John H. Hoyt. (1964). An Upper Miocene fauna dredged from tidal channels of coastal Georgia. Journal of Paleontology. 38(1). 67–73.3 indexed citations
20.
Kesling, R. V., et al.. (1960). Middle Ordovician Black River Ostracods from Michigan, Introduction and Part I The Nature of Macronotella. Deep Blue (University of Michigan).4 indexed citations
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.