Ilaria Ferrari
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Giuseppe DerosaArrigo F.G. CiceroAngela D’AngeloSibilla SalvadeoPamela MaffioliAlessia GravinaElena FogariLeonardina Ciccarelli
- Topics
- Diabetes Treatment and Management (22 papers)Metabolism, Diabetes, and Cancer (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cell ScienceInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Ilaria Ferrari
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 932
- Molecular Biology 752
- Cardiology and Cardiovascular Medicine 323
- Epidemiology 302
- Surgery 298
Countries citing papers authored by Ilaria Ferrari
This map shows the geographic impact of Ilaria Ferrari'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 Ilaria Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilaria Ferrari more than expected).
Fields of papers citing papers by Ilaria Ferrari
This network shows the impact of papers produced by Ilaria Ferrari. 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 Ilaria Ferrari. The network helps show where Ilaria Ferrari may publish in the future.
Co-authorship network of co-authors of Ilaria Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Ilaria Ferrari. A scholar is included among the top collaborators of Ilaria Ferrari 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 Ilaria Ferrari. Ilaria Ferrari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 34 | |
| 9 | 20 | |
| 10 | 35 | |
| 11 | 3 | |
| 12 | 33 | |
| 13 | 14 | |
| 14 | 56 | |
| 15 | 51 | |
| 16 | 6 | |
| 17 | 61 | |
| 18 | 72 | |
| 19 | 10 | |
| 20 | 21 |
About Ilaria Ferrari
Ilaria Ferrari is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Molecular Biology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (22 papers), Metabolism, Diabetes, and Cancer (21 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (932 citations), Pharmacology (273 citations) and Cardiology and Cardiovascular Medicine (323 citations). Ilaria Ferrari has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Giuseppe Derosa, Arrigo F.G. Cicero, Angela D’Angelo, Sibilla Salvadeo, Pamela Maffioli, Alessia Gravina, Elena Fogari, Leonardina Ciccarelli, Mario N. Piccinni and Ilaria Palumbo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cell Science and International Journal of Molecular Sciences.
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.