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.
Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, Without Use of the Preparative Ultracentrifuge
197227.6k citationsWilliam T. Friedewald, Robert I. Levy et al.Clinical Chemistryprofile →
Fat Transport in Lipoproteins — An Integrated Approach to Mechanisms and Disorders
19671.5k citationsDonald S. Fredrickson, Robert I. Levy et al.New England Journal of Medicineprofile →
Fat Transport in Lipoproteins — An Integrated Approach to Mechanisms and Disorders
1967578 citationsDonald S. Fredrickson, Robert I. Levy et al.New England Journal of Medicineprofile →
A specific apoprotein activator for lipoprotein lipase
1970547 citationsR. I. Levy, Peter N. Herbert et al.profile →
Fat Transport in Lipoproteins — An Integrated Approach to Mechanisms and Disorders
1967454 citationsDonald S. Fredrickson, Robert I. Levy et al.New England Journal of Medicineprofile →
Fat Transport in Lipoproteins — An Integrated Approach to Mechanisms and Disorders
1967430 citationsDonald S. Fredrickson, Robert I. Levy et al.New England Journal of Medicineprofile →
Studies of the Proteins in Human Plasma Very Low Density Lipoproteins
1969415 citationsRobert I. Levy, Donald S. Fredrickson et al.Journal of Biological Chemistryprofile →
Transport of Fatty Acids
1958410 citationsDonald S. Fredrickson et al.profile →
Selective Measurement of Two Lipase Activities in Postheparin Plasma from Normal Subjects and Patients with Hyperlipoproteinemia
1974372 citationsRobert I. Levy, Donald S. Fredrickson et al.Journal of Clinical Investigationprofile →
Coronary Artery Disease in 116 Kindred with Familial Type II Hyperlipoproteinemia
1974346 citationsRobert I. Levy, Donald S. Fredrickson et al.profile →
Citations per field, relative to Donald S. Fredrickson
Donald S. Fredrickson · 1×
×1.016.5kEDM
×1.013.0kSURGE
×1.08.8kCCM
×0.96.4kPHYSI
×0.96.2kMB
Citations per year, relative to Donald S. Fredrickson
Donald S. Fredrickson · 1×
2016
2017
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2019
2020
2021
2022
2023
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2026
Countries citing papers authored by Donald S. Fredrickson
Since
Specialization
Citations
This map shows the geographic impact of Donald S. Fredrickson'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 Donald S. Fredrickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald S. Fredrickson more than expected).
Fields of papers citing papers by Donald S. Fredrickson
This network shows the impact of papers produced by Donald S. Fredrickson. 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 Donald S. Fredrickson. The network helps show where Donald S. Fredrickson may publish in the future.
Co-authorship network of co-authors of Donald S. Fredrickson
This figure shows the co-authorship network connecting the top 25 collaborators of Donald S. Fredrickson.
A scholar is included among the top collaborators of Donald S. Fredrickson 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 Donald S. Fredrickson. Donald S. Fredrickson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.