Fred H. Faas
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Co-authors
- Marshall B. ElamSander J. RobinsDorothea CollinsJames W. AndersonHanna E. BloomfieldErnst J. SchaeferTimothy J WiltGordon Schectman
- Topics
- Fatty Acid Research and Health (11 papers)Lipoproteins and Cardiovascular Health (7 papers)Peroxisome Proliferator-Activated Receptors (7 papers)
- Partner nations
- United StatesAustraliaVietnam
In The Last Decade
Fred H. Faas
45 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrinology, Diabetes and Metabolism 2.1k
- Surgery 2.0k
- Cardiology and Cardiovascular Medicine 866
- Molecular Biology 798
- Cancer Research 531
Countries citing papers authored by Fred H. Faas
This map shows the geographic impact of Fred H. Faas'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 H. Faas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred H. Faas more than expected).
Fields of papers citing papers by Fred H. Faas
This network shows the impact of papers produced by Fred H. Faas. 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 H. Faas. The network helps show where Fred H. Faas may publish in the future.
Co-authorship network of co-authors of Fred H. Faas
This figure shows the co-authorship network connecting the top 25 collaborators of Fred H. Faas. A scholar is included among the top collaborators of Fred H. Faas 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 H. Faas. Fred H. Faas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 231 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | Gemfibrozil for the Secondary Prevention of Coronary Heart Disease in Men with Low Levels of High-Density Lipoprotein Cholesterolbreakdown → | 2568 |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 190 | |
| 13 | 61 | |
| 14 | 34 | |
| 15 | 22 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 10 |
About Fred H. Faas
Fred H. Faas is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Biochemistry, having authored 47 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (11 papers), Lipoproteins and Cardiovascular Health (7 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Surgery (2.0k citations) and Cardiology and Cardiovascular Medicine (866 citations). Fred H. Faas has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Marshall B. Elam, Sander J. Robins, Dorothea Collins, James W. Anderson, Hanna E. Bloomfield, Ernst J. Schaefer, Timothy J Wilt, Gordon Schectman, Janet Wittes and Esteban Linares. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Diabetes Care.
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.