Stefania Paduano
- Infectious Diseases top 10%
- Health top 10%
- Modeling and Simulation top 5%
- Public Health, Environmental and Occupational Health
- Clinical Psychology
- Co-authors
- Paola BorellaAnnalisa BargelliniIsabella MarchesiSherri Sheinfeld GorinSimon BaconKeven Joyal‐DesmaraisKim LavoieFederica Valeriani
- Topics
- SARS-CoV-2 and COVID-19 Research (11 papers)COVID-19 Clinical Research Studies (8 papers)COVID-19 epidemiological studies (6 papers)
- Journals
- Emerging infectious diseasesBritish Journal Of NutritionInternational Journal of Environmental Research and Public Health
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Stefania Paduano
33 papers receiving 335 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 119
- Health 83
- Modeling and Simulation 64
- Public Health, Environmental and Occupational Health 55
- Clinical Psychology 47
Countries citing papers authored by Stefania Paduano
This map shows the geographic impact of Stefania Paduano'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 Stefania Paduano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefania Paduano more than expected).
Fields of papers citing papers by Stefania Paduano
This network shows the impact of papers produced by Stefania Paduano. 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 Stefania Paduano. The network helps show where Stefania Paduano may publish in the future.
Co-authorship network of co-authors of Stefania Paduano
This figure shows the co-authorship network connecting the top 25 collaborators of Stefania Paduano. A scholar is included among the top collaborators of Stefania Paduano 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 Stefania Paduano. Stefania Paduano 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 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 14 | |
| 18 | 18 | |
| 19 | 3 | |
| 20 | 2 |
About Stefania Paduano
Stefania Paduano is a scholar working on Complementary and Manual Therapy, Modeling and Simulation and Infectious Diseases, having authored 36 papers that have together received 340 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Modeling and Simulation (64 citations), Health (83 citations) and Complementary and Manual Therapy (15 citations). Stefania Paduano has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Paola Borella, Annalisa Bargellini, Isabella Marchesi, Sherri Sheinfeld Gorin, Simon Bacon, Keven Joyal‐Desmarais, Kim Lavoie, Federica Valeriani, Fabriziomaria Gobba and Alberto Modenese. Their work appears in journals such as Emerging infectious diseases, British Journal Of Nutrition and International Journal of Environmental Research and Public Health.
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.