Dana E. Wilson

1.9k citations
45 papers · 1.6k · h-index 23

Impact in

Papers in

Dana E. Wilson

45 papers receiving 1.4k citations

Peers

Dana E. Wilson
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 643
  • Cardiology and Cardiovascular Medicine 317
  • Biochemistry 81
  • Surgery 510
  • Cancer Research 159
Replace J. E. Kirk with:
J. E. Kirk United States
Takashi Kanno Japan
Xiaoyan Wu China
Silvia Wagner Germany
Miyuki Matsuda Japan
Xi Cao China
Chiara Rosso Italy
Kazuma Takahashi Japan
Jan Schulze Germany
Theresa Chen United States
Dana E. Wilson relative to J. E. Kirk United States J. E. Kirk's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dana E. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Dana E. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972245
2
A dual precipitation method for quantitative plasma lipoprotein measurement without ultracentrifugation.
1973143
3 196786
4 199081
5 197177
6 199565
7 197965
8 199264
9 198363
10 198356
11 197254
12 198546
13 198237
14 198936
15 199229
16 198328
17 197528
18 198927
19 198726
20 199025

About Dana E. Wilson

Dana E. Wilson is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Lipoproteins and Cardiovascular Health (11 papers), Lipid metabolism and disorders (9 papers), Cancer, Lipids, and Metabolism (7 papers), Cholesterol and Lipid Metabolism (5 papers), Retinoids in leukemia and cellular processes (4 papers), Diabetes and associated disorders (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (643 citations), Cardiology and Cardiovascular Medicine (317 citations), Biochemistry (81 citations), Surgery (510 citations) and Cancer Research (159 citations). Dana E. Wilson has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Robert S. Lees, Per‐Henrik Iverius, Jean-Marc Lalouel, John E. Bennett, J. John Mann, John P. Utz, A.W. Meikle, Loren I. Dolman, Kenneth N. Buchi and John D. Stringham. Their work appears in journals such as Metabolism, Diabetes, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism and Journal of Pharmaceutical Sciences.

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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