Lees Rs
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 1
- Biochemistry top 10%
- Surgery top 10%
- Lipoproteins and Cardiovascular Health 2
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- Lipid metabolism and disorders 1
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
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- Protein Structure and Dynamics 1
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- Radiopharmaceutical Chemistry and Applications 1
- Medical Imaging Techniques and Applications 1
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- Advanced Proteomics Techniques and Applications 1
- Co-authors
- G. Graham ShipleyR.J. DeckelbaumStrauss HwAndrew D. MillerArie DerksenGustav SchonfeldDavid J. SandersRW Colman
- Journals
- Science (1 paper)PubMed (7 papers)
- Partner nations
- United States
In The Last Decade
Lees Rs
8 papers receiving 580 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 252
- Cancer Research 165
- Biochemistry 47
- Surgery 310
- Cardiology and Cardiovascular Medicine 157
Countries citing papers authored by Lees Rs
This map shows the geographic impact of Lees Rs'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 Lees Rs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lees Rs more than expected).
Fields of papers citing papers by Lees Rs
This network shows the impact of papers produced by Lees Rs. 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 Lees Rs. The network helps show where Lees Rs may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Lees Rs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Low density lipoprotein accumulation by PTFE grafts in the rabbit aorta. Autoradiographic-morphologic correlations. | 1987 | 5 |
| 2 | Technetium-99m low density lipoproteins: preparation and biodistribution. | 1985 | 55 |
| 3 | Noninvasive diagnosis of arterial disease. | 1982 | 31 |
| 4 | Duplex Doppler scanning and spectral bruit analysis for diagnosing carotid stenosis. | 1982 | 8 |
| 5 | Activation of the kallikrein system in hyperbetalipoproteinemia. | 1978 | 10 |
| 6 | 1975 | 162 | |
| 7 | The familial dyslipoproteinemias. | 1973 | 20 |
| 8 | Sharper separation of lipoprotein species by paper electrophoresis in albumin-containing buffer.breakdown → | 1963 | 426 |
About Lees Rs
Lees Rs is a scholar working on Spectroscopy, Genetics and Cancer Research, having authored 8 papers that have together received 717 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (2 papers), Cancer, Lipids, and Metabolism (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Protein Structure and Dynamics (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Medical Imaging Techniques and Applications (1 paper), Lipid metabolism and disorders (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (252 citations), Cancer Research (165 citations) and Biochemistry (47 citations). Lees Rs has collaborated with scholars based in United States. Frequent co-authors include G. Graham Shipley, R.J. Deckelbaum, Strauss Hw, Andrew D. Miller, Arie Derksen, Gustav Schonfeld, David J. Sanders, RW Colman, Schoen Fj and Arnold Miller. Their work appears in journals such as Science and PubMed.
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.