Francesca Grosso
- Infectious Diseases
- Modeling and Simulation top 5%
- Epidemiology
- Health
- Public Health, Environmental and Occupational Health
- Co-authors
- Danilo CeredaMaria GramegnaMarcello TiraniGabriele Del CastilloAida AndreassiStefano MerlerValentina MarzianoPiero Poletti
- Topics
- Influenza Virus Research Studies (3 papers)Vaccine Coverage and Hesitancy (3 papers)COVID-19 and healthcare impacts (3 papers)
- Partner nations
- ItalyUnited KingdomIndia
In The Last Decade
Francesca Grosso
17 papers receiving 190 citations
Peers
Comparison fields: 5 of 56
- Infectious Diseases 85
- Modeling and Simulation 74
- Epidemiology 48
- Health 42
- Public Health, Environmental and Occupational Health 26
Countries citing papers authored by Francesca Grosso
This map shows the geographic impact of Francesca Grosso'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 Grosso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Grosso more than expected).
Fields of papers citing papers by Francesca Grosso
This network shows the impact of papers produced by Francesca Grosso. 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 Grosso. The network helps show where Francesca Grosso may publish in the future.
Co-authorship network of co-authors of Francesca Grosso
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Grosso. A scholar is included among the top collaborators of Francesca Grosso 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 Grosso. Francesca Grosso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 89 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Disease management of type 2 diabetes: a follow-up analysis in a sanitary district of Sicily. | 3 |
| 17 | [A pilot study on adolescents of both sexes. Correlation between phenotype, athletic performances and family history to type 2 diabetes]. | 2 |
About Francesca Grosso
Francesca Grosso is a scholar working on Modeling and Simulation, Health and Geriatrics and Gerontology, having authored 17 papers that have together received 194 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Vaccine Coverage and Hesitancy (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Modeling and Simulation (74 citations), Health (42 citations) and Infectious Diseases (85 citations). Francesca Grosso has collaborated with scholars based in Italy, United Kingdom and India. Frequent co-authors include Danilo Cereda, Maria Gramegna, Marcello Tirani, Gabriele Del Castillo, Aida Andreassi, Stefano Merler, Valentina Marziano, Piero Poletti, Alessia Melegaro and Filippo Trentini. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Public Health and BMJ Open.
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.