Patrizia Uboldi
- Surgery top 10%
- Immunology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Alberico L. CatapanoGiuseppe Danilo NorataAndrea BaragettiAngela PirilloFabio PellegattaLiliana GrigoreLorenzo Da DaltFabrizia Bonacina
- Topics
- Lipoproteins and Cardiovascular Health (8 papers)Atherosclerosis and Cardiovascular Diseases (7 papers)Cholesterol and Lipid Metabolism (6 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Patrizia Uboldi
40 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Surgery 450
- Immunology 374
- Molecular Biology 268
- Endocrinology, Diabetes and Metabolism 171
- Cardiology and Cardiovascular Medicine 134
Countries citing papers authored by Patrizia Uboldi
This map shows the geographic impact of Patrizia Uboldi'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 Patrizia Uboldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrizia Uboldi more than expected).
Fields of papers citing papers by Patrizia Uboldi
This network shows the impact of papers produced by Patrizia Uboldi. 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 Patrizia Uboldi. The network helps show where Patrizia Uboldi may publish in the future.
Co-authorship network of co-authors of Patrizia Uboldi
This figure shows the co-authorship network connecting the top 25 collaborators of Patrizia Uboldi. A scholar is included among the top collaborators of Patrizia Uboldi 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 Patrizia Uboldi. Patrizia Uboldi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 22 | |
| 9 | 4 | |
| 10 | 111 | |
| 11 | 79 | |
| 12 | 24 | |
| 13 | 13 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 47 | |
| 17 | 23 | |
| 18 | Liver X receptor and retinoic X receptor agonists modulate the expression of genes involved in lipid metabolism in human endothelial cells. | 37 |
| 19 | 11 | |
| 20 | 19 |
About Patrizia Uboldi
Patrizia Uboldi is a scholar working on Immunology and Allergy, Immunology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Atherosclerosis and Cardiovascular Diseases (7 papers) and Cholesterol and Lipid Metabolism (6 papers). The work is most often cited by research in Immunology (374 citations), Endocrinology, Diabetes and Metabolism (171 citations) and Surgery (450 citations). Patrizia Uboldi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Alberico L. Catapano, Giuseppe Danilo Norata, Andrea Baragetti, Angela Pirillo, Fabio Pellegatta, Liliana Grigore, Lorenzo Da Dalt, Fabrizia Bonacina, Alberto Corsini and A. Dhyani. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.