Fabio Pellegatta
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Alberico L. CatapanoGiuseppe Danilo NorataLiliana GrigoreMaria Raffaella ZocchiAndrea BaragettiSergio ChierchiaAngela PirilloMaria Elena Ferrero
- Topics
- Lipoproteins and Cardiovascular Health (12 papers)Atherosclerosis and Cardiovascular Diseases (11 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Fabio Pellegatta
69 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Immunology 562
- Molecular Biology 557
- Surgery 449
- Cardiology and Cardiovascular Medicine 239
- Endocrinology, Diabetes and Metabolism 232
Countries citing papers authored by Fabio Pellegatta
This map shows the geographic impact of Fabio Pellegatta'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 Fabio Pellegatta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Pellegatta more than expected).
Fields of papers citing papers by Fabio Pellegatta
This network shows the impact of papers produced by Fabio Pellegatta. 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 Fabio Pellegatta. The network helps show where Fabio Pellegatta may publish in the future.
Co-authorship network of co-authors of Fabio Pellegatta
This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Pellegatta. A scholar is included among the top collaborators of Fabio Pellegatta 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 Fabio Pellegatta. Fabio Pellegatta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 18 | |
| 5 | 23 | |
| 6 | 10 | |
| 7 | 111 | |
| 8 | 42 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | Liver X receptor and retinoic X receptor agonists modulate the expression of genes involved in lipid metabolism in human endothelial cells. | 37 |
| 12 | 6 | |
| 13 | 36 | |
| 14 | 15 | |
| 15 | 33 | |
| 16 | 129 | |
| 17 | 9 | |
| 18 | 32 | |
| 19 | 54 | |
| 20 | 30 |
About Fabio Pellegatta
Fabio Pellegatta is a scholar working on Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Atherosclerosis and Cardiovascular Diseases (11 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers). The work is most often cited by research in Geriatrics and Gerontology (115 citations), Immunology (562 citations) and Biochemistry (99 citations). Fabio Pellegatta has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Alberico L. Catapano, Giuseppe Danilo Norata, Liliana Grigore, Maria Raffaella Zocchi, Andrea Baragetti, Sergio Chierchia, Angela Pirillo, Maria Elena Ferrero, Alessandro Fulgenzi and K. Garlaschelli. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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.