Gianpaolo Scalia Tomba

42 papers and 2.7k indexed citations i.

About

Gianpaolo Scalia Tomba is a scholar working on Epidemiology, Modeling and Simulation and Agronomy and Crop Science. According to data from OpenAlex, Gianpaolo Scalia Tomba has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 17 papers in Modeling and Simulation and 9 papers in Agronomy and Crop Science. Recurrent topics in Gianpaolo Scalia Tomba’s work include COVID-19 epidemiological studies (17 papers), Influenza Virus Research Studies (11 papers) and Animal Disease Management and Epidemiology (9 papers). Gianpaolo Scalia Tomba is often cited by papers focused on COVID-19 epidemiological studies (17 papers), Influenza Virus Research Studies (11 papers) and Animal Disease Management and Epidemiology (9 papers). Gianpaolo Scalia Tomba collaborates with scholars based in Italy, Sweden and United Kingdom. Gianpaolo Scalia Tomba's co-authors include Jacco Wallinga, Marco Massari, Stefania Salmaso, Niel Hens, Małgorzata Sadkowska-Todys, Mark Jit, Philippe Beutels, W. John Edmunds, Kari Auranen and Rafael Mikolajczyk and has published in prestigious journals such as PLoS ONE, Journal of Hepatology and PLoS Medicine.

In The Last Decade

Co-authorship network of co-authors of Gianpaolo Scalia Tomba i

Fields of papers citing papers by Gianpaolo Scalia Tomba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gianpaolo Scalia Tomba. 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 Gianpaolo Scalia Tomba. The network helps show where Gianpaolo Scalia Tomba may publish in the future.

Countries citing papers authored by Gianpaolo Scalia Tomba

Since Specialization
Citations

This map shows the geographic impact of Gianpaolo Scalia Tomba'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 Gianpaolo Scalia Tomba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianpaolo Scalia Tomba more than expected).

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.

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