Fred R. Dee
Impact in
- Family Practice top 5%
- General Dentistry top 5%
Papers in
-
- Innovations in Medical Education 6
-
- Clinical Laboratory Practices and Quality Control 4
- Co-authors
- Clarence D. Kreiter (8 shared papers)Timothy Leaven (6 shared papers)Rakesh Kumar (2 shared papers)Gary M. Velan (2 shared papers)David K. Meyerholz (1 shared paper)Denis Wakefield (1 shared paper)Paul M. Heidger (2 shared papers)John S. Duncan (2 shared papers)
- Journals
- Human Pathology (4 papers)The Anatomical Record (2 papers)Medical Education Online (2 papers)Teaching and Learning in Medicine (1 paper)Toxicologic Pathology (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Fred R. Dee
17 papers receiving 981 citations
Peers
Comparison fields: 5 of 93
- Family Practice 58
- General Dentistry 40
- Biophysics 98
- Artificial Intelligence 347
- Public Health, Environmental and Occupational Health 314
Countries citing papers authored by Fred R. Dee
This map shows the geographic impact of Fred R. Dee'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 R. Dee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred R. Dee more than expected).
Fields of papers citing papers by Fred R. Dee
This network shows the impact of papers produced by Fred R. Dee. 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 R. Dee. The network helps show where Fred R. Dee may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred R. Dee, 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 | 2009 | 168 | |
| 2 | 2004 | 166 | |
| 3 | 2002 | 143 | |
| 4 | 2005 | 137 | |
| 5 | 2005 | 105 | |
| 6 | 2003 | 65 | |
| 7 | 2009 | 58 | |
| 8 | 2007 | 55 | |
| 9 | 2007 | 38 | |
| 10 | 2011 | 27 | |
| 11 | 2002 | 15 | |
| 12 | 2011 | 11 | |
| 13 | 2006 | 11 | |
| 14 | 2014 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2008 | 1 |
About Fred R. Dee
Fred R. Dee is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Artificial Intelligence, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Innovations in Medical Education (6 papers), Clinical Laboratory Practices and Quality Control (4 papers), Radiology practices and education (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Clinical Reasoning and Diagnostic Skills (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Problem and Project Based Learning (2 papers). The work is most often cited by research in Family Practice (58 citations), General Dentistry (40 citations), Biophysics (98 citations), Artificial Intelligence (347 citations) and Public Health, Environmental and Occupational Health (314 citations). Fred R. Dee has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Clarence D. Kreiter, Timothy Leaven, Rakesh Kumar, Gary M. Velan, David K. Meyerholz, Denis Wakefield, Paul M. Heidger, John S. Duncan, Thomas H. Haugen and Eleanor V. Willett. Their work appears in journals such as Human Pathology, The Anatomical Record, Medical Education Online, Teaching and Learning in Medicine and Toxicologic Pathology.
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.