Sabrina Uda

689 citations
14 papers · 591 indexed · h-index 10

Impact in

Papers in

Sabrina Uda

14 papers receiving 574 citations

Peers

Sabrina Uda
Comparison fields: 5 of 76
  • Nutrition and Dietetics 213
  • Biochemistry 64
  • Endocrinology, Diabetes and Metabolism 140
  • Pharmacology 138
  • Reproductive Medicine 45
Replace Gabriela Picotto with:
Gabriela Picotto Argentina
FuKun W. Hoffmann United States
Todd A. Winters United States
Claude Kohl France
Daša Medříková Czechia
Feiruo Huang China
Célio Kenji Miyasaka Brazil
A. Quignard-Boulangé France
Francisca Rodríguez‐Pacheco Spain
Jiang Wei Wu China
Sabrina Uda relative to Gabriela Picotto Argentina Gabriela Picotto's profile →
Citations per field
00.5×5.3×
Gabriela Picotto · 1×
Citations per year

Countries citing papers authored by Sabrina Uda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Sabrina Uda Line = papers co-authored together Sabrina Uda links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20177
2
Multidrug resistance P-glycoprotein dampens SR-BI cholesteryl ester uptake from high density lipoproteins in human leukemia cells.
20169
3 201510
4 201522
5 201317
6 2012113
7 201117
8 201149
9 20103
10 2009210
11 200974
12 200825
13 200734
14 20071

About Sabrina Uda

Sabrina Uda is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Periodontics, Cancer Research and Nutrition and Dietetics, having authored 14 papers that have together received 591 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (4 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (3 papers), Diabetes and associated disorders (2 papers), Viral-associated cancers and disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cannabis and Cannabinoid Research (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Nutrition and Dietetics (213 citations), Biochemistry (64 citations), Endocrinology, Diabetes and Metabolism (140 citations), Pharmacology (138 citations) and Reproductive Medicine (45 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, Lina Cordeddu, Maria Collu, Gianfranca Carta, Mikko Griinari, Alessia Ligresti and Vincenzo Di Marzo. Their work appears in journals such as The Journal of Antibiotics, Scientific Reports, Journal of Vascular Research, BMC Microbiology 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.

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