Sabrina Uda
Impact in
- Nutrition and Dietetics top 5%
- Fatty Acid Research and Health
- Biochemistry top 10%
Papers in
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- Diet, Metabolism, and Disease 4
-
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Barbara Batetta (13 shared papers)Sebastiano Banni (7 shared papers)Francesca Sanna (8 shared papers)Elisabetta Murru (5 shared papers)Maria Collu (9 shared papers)Gianfranca Carta (3 shared papers)Lina Cordeddu (3 shared papers)Alessia Ligresti (2 shared papers)
- Journals
- Tumor Biology (1 paper)BMC Microbiology (1 paper)Scientific Reports (1 paper)Journal of Nutrition (1 paper)The Journal of Antibiotics (1 paper)
- Partner nations
- ItalyUnited States
In The Last Decade
Sabrina Uda
14 papers receiving 589 citations
Peers
Comparison fields: 5 of 70
- Nutrition and Dietetics 204
- Biochemistry 62
- Pharmacology 136
- Endocrinology, Diabetes and Metabolism 118
- Reproductive Medicine 43
Countries citing papers authored by Sabrina Uda
This map shows the geographic impact of Sabrina Uda'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 Sabrina Uda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabrina Uda more than expected).
Fields of papers citing papers by Sabrina Uda
This network shows the impact of papers produced by Sabrina Uda. 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 Sabrina Uda. The network helps show where Sabrina Uda may publish in the future.
Co-authors
The 25 scholars most cited alongside Sabrina Uda, 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 | 210 | |
| 2 | 2012 | 116 | |
| 3 | 2009 | 75 | |
| 4 | 2011 | 50 | |
| 5 | 2007 | 34 | |
| 6 | 2008 | 25 | |
| 7 | 2015 | 24 | |
| 8 | 2013 | 17 | |
| 9 | 2011 | 17 | |
| 10 | 2015 | 10 | |
| 11 | Multidrug resistance P-glycoprotein dampens SR-BI cholesteryl ester uptake from high density lipoproteins in human leukemia cells. | 2016 | 9 |
| 12 | 2017 | 7 | |
| 13 | 2010 | 3 | |
| 14 | 2007 | 1 |
About Sabrina Uda
Sabrina Uda is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Pharmacology and Pathology and Forensic Medicine, having authored 14 papers that have together received 598 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (4 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Fatty Acid Research and Health (2 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers), Cannabis and Cannabinoid Research (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Nutrition and Dietetics (204 citations), Biochemistry (62 citations), Pharmacology (136 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Reproductive Medicine (43 citations). Sabrina Uda has collaborated with scholars based in Italy and United States. Frequent co-authors include Barbara Batetta, Sebastiano Banni, Francesca Sanna, Elisabetta Murru, Maria Collu, Gianfranca Carta, Lina Cordeddu, Alessia Ligresti, Tiziana Bisogno and Vincenzo Di Marzo. Their work appears in journals such as Tumor Biology, BMC Microbiology, Scientific Reports, Journal of Nutrition and The Journal of Antibiotics.
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.