Robert D. Shamburek
- Molecular Biology top 2%
- Surgery top 1%
- Cancer Research top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Alan T. RemaleyBassem M. ShoucriKasey C. VickersBrian T. PalmisanoMarcelo AmarSilvia Santamarina-FojoArnon BlumBoris Vaisman
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers)Lipoproteins and Cardiovascular Health (24 papers)Cholesterol and Lipid Metabolism (19 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Robert D. Shamburek
79 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 2.7k
- Surgery 2.6k
- Cancer Research 2.3k
- Endocrinology, Diabetes and Metabolism 1.4k
- Cardiology and Cardiovascular Medicine 701
Countries citing papers authored by Robert D. Shamburek
This map shows the geographic impact of Robert D. Shamburek'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 Robert D. Shamburek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert D. Shamburek more than expected).
Fields of papers citing papers by Robert D. Shamburek
This network shows the impact of papers produced by Robert D. Shamburek. 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 Robert D. Shamburek. The network helps show where Robert D. Shamburek may publish in the future.
Co-authorship network of co-authors of Robert D. Shamburek
This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Shamburek. A scholar is included among the top collaborators of Robert D. Shamburek 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 Robert D. Shamburek. Robert D. Shamburek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 33 | |
| 4 | 6 | |
| 5 | A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemiabreakdown → | 312 |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 73 | |
| 9 | 3 | |
| 10 | 37 | |
| 11 | 10 | |
| 12 | MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteinsbreakdown → | 2218 |
| 13 | 20 | |
| 14 | 51 | |
| 15 | 62 | |
| 16 | 190 | |
| 17 | 61 | |
| 18 | 128 | |
| 19 | 59 | |
| 20 | 35 |
About Robert D. Shamburek
Robert D. Shamburek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 81 papers that have together received 6.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (25 papers), Lipoproteins and Cardiovascular Health (24 papers) and Cholesterol and Lipid Metabolism (19 papers). The work is most often cited by research in Cancer Research (2.3k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Surgery (2.6k citations). Robert D. Shamburek has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Alan T. Remaley, Bassem M. Shoucri, Kasey C. Vickers, Brian T. Palmisano, Marcelo Amar, Silvia Santamarina-Fojo, Arnon Blum, Boris Vaisman, H Bryan Brewer and Mitchell L. Schubert. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Circulation.
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.