Chiara Zerbinati
Impact in
- Biological Psychiatry top 10%
- Surgery top 5%
- Cholesterol and Lipid Metabolism
Papers in
- Surgery 17
- Cholesterol and Lipid Metabolism 16
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- Receptor Mechanisms and Signaling 4
- Sphingolipid Metabolism and Signaling 4
- Co-authors
- Luigi Iuliano (28 shared papers)Giuseppe Poli (5 shared papers)Paola Gamba (3 shared papers)Gabriella Testa (3 shared papers)Simona Gargiulo (3 shared papers)Gabriella Leonarduzzi (3 shared papers)Barbara Canonico (6 shared papers)Francesca Luchetti (6 shared papers)
- Journals
- Redox Biology (4 papers)Steroids (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Biochimie (2 papers)Free Radical Biology and Medicine (2 papers)
- Partner nations
- ItalyFranceUnited Kingdom
In The Last Decade
Chiara Zerbinati
31 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 99
- Biological Psychiatry 39
- Surgery 601
- Biochemistry 74
- Biochemistry 72
- Molecular Biology 556
Countries citing papers authored by Chiara Zerbinati
This map shows the geographic impact of Chiara Zerbinati'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 Chiara Zerbinati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Zerbinati more than expected).
Fields of papers citing papers by Chiara Zerbinati
This network shows the impact of papers produced by Chiara Zerbinati. 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 Chiara Zerbinati. The network helps show where Chiara Zerbinati may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Zerbinati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 221 | |
| 2 | 2017 | 102 | |
| 3 | 2012 | 100 | |
| 4 | 2017 | 79 | |
| 5 | 2014 | 77 | |
| 6 | 2015 | 73 | |
| 7 | 2013 | 59 | |
| 8 | 2013 | 56 | |
| 9 | 2016 | 53 | |
| 10 | 2014 | 51 | |
| 11 | 2016 | 49 | |
| 12 | 2015 | 49 | |
| 13 | 2016 | 46 | |
| 14 | 2018 | 42 | |
| 15 | 2014 | 38 | |
| 16 | 2015 | 37 | |
| 17 | 2015 | 27 | |
| 18 | 2016 | 25 | |
| 19 | 2016 | 19 | |
| 20 | 2014 | 14 |
About Chiara Zerbinati
Chiara Zerbinati is a scholar working on Surgery, Molecular Biology, Epidemiology, Nutrition and Dietetics and Cell Biology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (16 papers), Receptor Mechanisms and Signaling (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Sperm and Testicular Function (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Surgery (601 citations), Biochemistry (74 citations), Biochemistry (72 citations) and Molecular Biology (556 citations). Chiara Zerbinati has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Luigi Iuliano, Giuseppe Poli, Paola Gamba, Gabriella Testa, Simona Gargiulo, Gabriella Leonarduzzi, Barbara Canonico, Francesca Luchetti, Giorgio Giaccone and Marco Ciacciarelli. Their work appears in journals such as Redox Biology, Steroids, The Journal of Steroid Biochemistry and Molecular Biology, Biochimie and Free Radical Biology and Medicine.
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.