David M. Foster
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology
- Physiology top 5%
- Nutrition and Dietetics top 2%
- Co-authors
- Claudio CobelliErnst J. SchaeferP. Hugh R. BarrettRampratap S. KushwahaH. Bryan BrewerSteven E. KahnGail BauraMichael W. Schwartz
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Lipoproteins and Cardiovascular Health (8 papers)Cholesterol and Lipid Metabolism (7 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsNutrition and Dietetics
- Journals
- New England Journal of MedicineJournal of the American Chemical SocietyJournal of Clinical Investigation
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
David M. Foster
75 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 143
- Endocrinology, Diabetes and Metabolism 1.0k
- Surgery 712
- Molecular Biology 593
- Physiology 457
- Nutrition and Dietetics 380
Countries citing papers authored by David M. Foster
This map shows the geographic impact of David M. Foster'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 David M. Foster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Foster more than expected).
Fields of papers citing papers by David M. Foster
This network shows the impact of papers produced by David M. Foster. 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 David M. Foster. The network helps show where David M. Foster may publish in the future.
Co-authorship network of co-authors of David M. Foster
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Foster. A scholar is included among the top collaborators of David M. Foster 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 David M. Foster. David M. Foster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 24 | |
| 3 | 2 | |
| 4 | 61 | |
| 5 | 0 | |
| 6 | 26 | |
| 7 | 362 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | Simultaneous analysis of structural and metabolic heterogeneity of human ldl using density gradient ultracentrifugation | 2 |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 57 | |
| 16 | 291 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 2 |
About David M. Foster
David M. Foster is a scholar working on Endocrinology, Diabetes and Metabolism, Algebra and Number Theory and Cancer Research, having authored 77 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Lipoproteins and Cardiovascular Health (8 papers) and Cholesterol and Lipid Metabolism (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Endocrine and Autonomic Systems (288 citations) and Nutrition and Dietetics (380 citations). David M. Foster has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Claudio Cobelli, Ernst J. Schaefer, P. Hugh R. Barrett, Rampratap S. Kushwaha, H. Bryan Brewer, Steven E. Kahn, Gail Baura, Michael W. Schwartz, Gianna Toffolo and Loren A. Zech. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and Journal of Clinical Investigation.
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.