Curt D. Furberg
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Economics and Econometrics top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Nephrology top 5%
- Co-authors
- Bruce M. PsatyNoel S. WeissThomas D. KoepsellFrits R. RosendaalMarco PahorD. Y. LinRobert P. ByingtonJoel A. Simon
- Topics
- Lipoproteins and Cardiovascular Health (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)
- Journals
- Annals of Internal MedicineJournal of the American College of CardiologyThe American Journal of Medicine
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Curt D. Furberg
16 papers receiving 912 citations
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 423
- Surgery 324
- Economics and Econometrics 214
- Endocrinology, Diabetes and Metabolism 160
- Nephrology 117
Countries citing papers authored by Curt D. Furberg
This map shows the geographic impact of Curt D. Furberg'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 Curt D. Furberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curt D. Furberg more than expected).
Fields of papers citing papers by Curt D. Furberg
This network shows the impact of papers produced by Curt D. Furberg. 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 Curt D. Furberg. The network helps show where Curt D. Furberg may publish in the future.
Co-authorship network of co-authors of Curt D. Furberg
This figure shows the co-authorship network connecting the top 25 collaborators of Curt D. Furberg. A scholar is included among the top collaborators of Curt D. Furberg 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 Curt D. Furberg. Curt D. Furberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 154 | |
| 2 | 46 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 256 | |
| 6 | 77 | |
| 7 | 86 | |
| 8 | 44 | |
| 9 | 80 | |
| 10 | 8 | |
| 11 | 34 | |
| 12 | 37 | |
| 13 | 5 | |
| 14 | 65 | |
| 15 | 24 | |
| 16 | 37 |
About Curt D. Furberg
Curt D. Furberg is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 16 papers that have together received 964 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (423 citations), Nephrology (117 citations) and Internal Medicine (51 citations). Curt D. Furberg has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Bruce M. Psaty, Noel S. Weiss, Thomas D. Koepsell, Frits R. Rosendaal, Marco Pahor, D. Y. Lin, Robert P. Byington, Joel A. Simon, Nanette K. Wenger and Deborah Grady. Their work appears in journals such as Annals of Internal Medicine, Journal of the American College of Cardiology and The American Journal of Medicine.
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.