Federica Zatterale
- Physiology top 2%
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Francesco BèguinotMichele LongoGregory Alexander RacitiClaudia MieleJamal NaderiLuca ParrilloPietro FormisanoAntonella Desiderio
- Topics
- Epigenetics and DNA Methylation (7 papers)Adipose Tissue and Metabolism (6 papers)Adipokines, Inflammation, and Metabolic Diseases (4 papers)
In The Last Decade
Federica Zatterale
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Physiology 978
- Epidemiology 832
- Molecular Biology 669
- Endocrinology, Diabetes and Metabolism 272
- Cardiology and Cardiovascular Medicine 271
Countries citing papers authored by Federica Zatterale
This map shows the geographic impact of Federica Zatterale'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 Federica Zatterale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federica Zatterale more than expected).
Fields of papers citing papers by Federica Zatterale
This network shows the impact of papers produced by Federica Zatterale. 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 Federica Zatterale. The network helps show where Federica Zatterale may publish in the future.
Co-authorship network of co-authors of Federica Zatterale
This figure shows the co-authorship network connecting the top 25 collaborators of Federica Zatterale. A scholar is included among the top collaborators of Federica Zatterale 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 Federica Zatterale. Federica Zatterale 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 | 3 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 24 | |
| 6 | 16 | |
| 7 | 34 | |
| 8 | 60 | |
| 9 | Chronic Adipose Tissue Inflammation Linking Obesity to Insulin Resistance and Type 2 Diabetesbreakdown → | 761 |
| 10 | 28 | |
| 11 | 16 | |
| 12 | Adipose Tissue Dysfunction as Determinant of Obesity-Associated Metabolic Complicationsbreakdown → | 1080 |
| 13 | 13 | |
| 14 | 48 | |
| 15 | 43 | |
| 16 | 41 | |
| 17 | 14 |
About Federica Zatterale
Federica Zatterale is a scholar working on Physiology, Clinical Biochemistry and Immunology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Adipose Tissue and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Physiology (978 citations), Epidemiology (832 citations) and Endocrinology, Diabetes and Metabolism (272 citations). Federica Zatterale has collaborated with scholars based in Italy, Sweden and Germany. Frequent co-authors include Francesco Bèguinot, Michele Longo, Gregory Alexander Raciti, Claudia Miele, Jamal Naderi, Luca Parrillo, Pietro Formisano, Antonella Desiderio, Rosa Spinelli and Cecilia Nigro. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Diabetologia.
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.