Suzanna E. Dana
- Surgery top 5%
- Molecular Biology
- Cancer Research top 5%
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Michael S. BrownJoseph L. GoldsteinMarvin D. SipersteinJohn M. DietschyVincent J.M. DiMaio
- Topics
- Cholesterol and Lipid Metabolism (5 papers)Lipid metabolism and biosynthesis (5 papers)Peroxisome Proliferator-Activated Receptors (4 papers)
- Cited by
- BiochemistryCancer ResearchSurgery
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryBiochemical and Biophysical Research Communications
- Partner nations
- United States
In The Last Decade
Suzanna E. Dana
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Surgery 726
- Molecular Biology 683
- Cancer Research 314
- Biochemistry 200
- Endocrinology, Diabetes and Metabolism 193
Countries citing papers authored by Suzanna E. Dana
This map shows the geographic impact of Suzanna E. Dana'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 Suzanna E. Dana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanna E. Dana more than expected).
Fields of papers citing papers by Suzanna E. Dana
This network shows the impact of papers produced by Suzanna E. Dana. 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 Suzanna E. Dana. The network helps show where Suzanna E. Dana may publish in the future.
Co-authorship network of co-authors of Suzanna E. Dana
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanna E. Dana. A scholar is included among the top collaborators of Suzanna E. Dana 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 Suzanna E. Dana. Suzanna E. Dana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Handbook of forensic pathology | 69 |
| 2 | Manual de patología forense | 5 |
| 3 | 1 | |
| 4 | 38 | |
| 5 | Esterification of Low Density Lipoprotein Cholesterol in Human Fibroblasts and Its Absence in Homozygous Familial Hypercholesterolemiabreakdown → | 245 |
| 6 | 27 | |
| 7 | Regulation of 3-Hydroxy-3-methylglutaryl Coenzyme A Reductase Activity in Cultured Human Fibroblastsbreakdown → | 474 |
| 8 | 3-Hydroxy-3-methylglutaryl Coenzyme A Reductasebreakdown → | 209 |
| 9 | Regulation of 3-Hydroxy-3-Methylglutaryl Coenzyme A Reductase Activity in Human Fibroblasts by Lipoproteinsbreakdown → | 277 |
About Suzanna E. Dana
Suzanna E. Dana is a scholar working on Biochemistry, Emergency Medicine and Surgery, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Lipid metabolism and biosynthesis (5 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Biochemistry (200 citations), Cancer Research (314 citations) and Surgery (726 citations). Suzanna E. Dana has collaborated with scholars based in United States. Frequent co-authors include Michael S. Brown, Joseph L. Goldstein, Marvin D. Siperstein, John M. Dietschy and Vincent J.M. DiMaio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.