David A. Sanan
Impact in
- Biochemistry top 0.5%
- Lipid metabolism and biosynthesis
- Physiology top 1%
- Alzheimer's disease research and treatments
- Adipose Tissue and Metabolism
Papers in
-
- Cell Adhesion Molecules Research 6
-
- Platelet Disorders and Treatments 5
- Co-authors
- Robert W. MahleyKarl H. WeisgraberStefano BellostaRobert E. PitasDale NewlandBritto P. NathanSteven J. SmithTony Wyss‐Coray
- Journals
- Journal of Biological Chemistry (10 papers)Journal of Clinical Investigation (7 papers)Proceedings of the National Academy of Sciences (4 papers)The Journal of Cell Biology (2 papers)Journal of Lipid Research (2 papers)
- Partner nations
- United StatesJapanSouth Africa
In The Last Decade
David A. Sanan
41 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Biochemistry 719
- Physiology 1.6k
- Neurology 289
- Endocrinology, Diabetes and Metabolism 582
- Biochemistry 208
Countries citing papers authored by David A. Sanan
This map shows the geographic impact of David A. Sanan'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 A. Sanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Sanan more than expected).
Fields of papers citing papers by David A. Sanan
This network shows the impact of papers produced by David A. Sanan. 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 A. Sanan. The network helps show where David A. Sanan may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Sanan, 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 | 2003 | 28 | |
| 2 | 2003 | 149 | |
| 3 | 2002 | 79 | |
| 4 | 2001 | 311 | |
| 5 | 2000 | 197 | |
| 6 | 2000 | 196 | |
| 7 | 2000 | 57 | |
| 8 | Obesity resistance and multiple mechanisms of triglyceride synthesis in mice lacking Dgat Hit paper breakdown → | 2000 | 716 |
| 9 | 1998 | 70 | |
| 10 | 1998 | 94 | |
| 11 | 1998 | 45 | |
| 12 | 1997 | 86 | |
| 13 | 1997 | 45 | |
| 14 | 1996 | 66 | |
| 15 | 1995 | 163 | |
| 16 | 1995 | 122 | |
| 17 | 1995 | 68 | |
| 18 | 1995 | 251 | |
| 19 | 1994 | 335 | |
| 20 | 1991 | 89 |
About David A. Sanan
David A. Sanan is a scholar working on Immunology and Allergy, Hematology, Neurology, Physiology and Biochemistry, having authored 41 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Alzheimer's disease research and treatments (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Platelet Disorders and Treatments (5 papers), Animal Genetics and Reproduction (4 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Biochemistry (719 citations), Physiology (1.6k citations), Neurology (289 citations), Endocrinology, Diabetes and Metabolism (582 citations) and Biochemistry (208 citations). David A. Sanan has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Robert W. Mahley, Karl H. Weisgraber, Stefano Bellosta, Robert E. Pitas, Dale Newland, Britto P. Nathan, Steven J. Smith, Tony Wyss‐Coray, Robert V. Farese and Hubert C. Chen. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Lipid Research.
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.