Fred T. Nobrega
- Epidemiology top 10%
- Surgery
- General Health Professions top 10%
- Cardiology and Cardiovascular Medicine
- Genetics
- Co-authors
- Leonard T. KurlandJames M. NaessensWilliam G. SauerRichard E. SedlackI KrishanHenry J. SchultzThomas F. KeysDouglas R. Gracey
- Topics
- Healthcare Policy and Management (9 papers)Primary Care and Health Outcomes (4 papers)Health Systems, Economic Evaluations, Quality of Life (3 papers)
- Partner nations
- United StatesVietnamBelarus
In The Last Decade
Fred T. Nobrega
35 papers receiving 727 citations
Peers
Comparison fields: 5 of 89
- Epidemiology 262
- Surgery 240
- General Health Professions 154
- Cardiology and Cardiovascular Medicine 140
- Genetics 136
Countries citing papers authored by Fred T. Nobrega
This map shows the geographic impact of Fred T. Nobrega'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 Fred T. Nobrega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred T. Nobrega more than expected).
Fields of papers citing papers by Fred T. Nobrega
This network shows the impact of papers produced by Fred T. Nobrega. 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 Fred T. Nobrega. The network helps show where Fred T. Nobrega may publish in the future.
Co-authorship network of co-authors of Fred T. Nobrega
This figure shows the co-authorship network connecting the top 25 collaborators of Fred T. Nobrega. A scholar is included among the top collaborators of Fred T. Nobrega 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 Fred T. Nobrega. Fred T. Nobrega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Marijuana and adolescents. | 1 |
| 2 | 16 | |
| 3 | 39 | |
| 4 | 17 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 40 | |
| 8 | 26 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | Use of medical services and satisfaction with ambulatory care among a rural Minnesota population. | 8 |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 37 | |
| 17 | Participation by internists in primary care. Results of a survey of alumni of one large training program. | 0 |
| 18 | 60 | |
| 19 | 19 | |
| 20 | 38 |
About Fred T. Nobrega
Fred T. Nobrega is a scholar working on Economics and Econometrics, Urology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 862 indexed citations. Recurring topics across this work include Healthcare Policy and Management (9 papers), Primary Care and Health Outcomes (4 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Epidemiology (262 citations), Cardiology and Cardiovascular Medicine (140 citations) and General Health Professions (154 citations). Fred T. Nobrega has collaborated with scholars based in United States, Vietnam and Belarus. Frequent co-authors include Leonard T. Kurland, James M. Naessens, William G. Sauer, Richard E. Sedlack, I Krishan, Henry J. Schultz, Thomas F. Keys, Douglas R. Gracey, Kenneth P. Offord and Mary Kelly. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of the American Statistical Association.
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.