Francesca Ferrari
- Co-authors
- Paolo Giorgi RossiMassimo VicentiniStefania CaroliFederica AlboAlida SpalloniPatrizia LongoneLucìa MangoneGiorgio Bernardi
- Topics
- Identification and Quantification in Food (4 papers)Forensic and Genetic Research (4 papers)Chronic Disease Management Strategies (3 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Francesca Ferrari
43 papers receiving 865 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 223
- Oncology 147
- Neurology 135
- Endocrinology, Diabetes and Metabolism 123
- Surgery 119
Countries citing papers authored by Francesca Ferrari
This map shows the geographic impact of Francesca 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 Francesca Ferrari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Ferrari more than expected).
Fields of papers citing papers by Francesca Ferrari
This network shows the impact of papers produced by Francesca 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 Francesca Ferrari. The network helps show where Francesca Ferrari may publish in the future.
Co-authorship network of co-authors of Francesca Ferrari
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Ferrari. A scholar is included among the top collaborators of Francesca 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 Francesca Ferrari. Francesca 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | [Motivational interviewing to treat overweight children and their parents in paediatrician's medical office: good results, but one year is not sufficient]. | 2 |
| 12 | 11 | |
| 13 | 29 | |
| 14 | 110 | |
| 15 | 20 | |
| 16 | 19 | |
| 17 | 31 | |
| 18 | Scatter factor receptor (c-Met) as possible prognostic factor in patients with oral squamous cell carcinoma. | 34 |
| 19 | 67 | |
| 20 | Variability of sonographic changes in diffuse hepatic diseases | 1 |
About Francesca Ferrari
Francesca Ferrari is a scholar working on Pharmacy, Neurology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 890 indexed citations. Recurring topics across this work include Identification and Quantification in Food (4 papers), Forensic and Genetic Research (4 papers) and Chronic Disease Management Strategies (3 papers). The work is most often cited by research in Neurology (135 citations), Endocrinology, Diabetes and Metabolism (123 citations) and Neurology (88 citations). Francesca Ferrari has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Paolo Giorgi Rossi, Massimo Vicentini, Stefania Caroli, Federica Albo, Alida Spalloni, Patrizia Longone, Lucìa Mangone, Giorgio Bernardi, Cristina Zona and Nicola Biagio Mercuri. Their work appears in journals such as PLoS ONE, Radiology and American Journal of Obstetrics and Gynecology.
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.