Giulia Pullano
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 11
-
- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 detection and testing 1
- Co-authors
- Vittoria Colizza (11 shared papers)Pierre‐Yves Boëlle (6 shared papers)Eugenio Valdano (6 shared papers)Laura Di Domenico (6 shared papers)Francesco Pinotti (3 shared papers)Chiara Poletto (3 shared papers)C Sabbatini (5 shared papers)Bernardo Gutiérrez (2 shared papers)
- Journals
- Eurosurveillance (2 papers)Nature Communications (1 paper)BMC Medicine (1 paper)JMIR Public Health and Surveillance (1 paper)The Lancet (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Giulia Pullano
12 papers receiving 1.6k citations
Giulia Pullano's Hit Papers
Peers
Comparison fields: 5 of 113
- Modeling and Simulation 956
- Infectious Diseases 430
- Transportation 136
- Health 117
- Economics and Econometrics 433
Countries citing papers authored by Giulia Pullano
This map shows the geographic impact of Giulia Pullano'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 Giulia Pullano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Pullano more than expected).
Fields of papers citing papers by Giulia Pullano
This network shows the impact of papers produced by Giulia Pullano. 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 Giulia Pullano. The network helps show where Giulia Pullano may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Pullano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study Hit paper breakdown → | 2020 | 817 |
| 2 | 2020 | 269 | |
| 3 | 2020 | 233 | |
| 4 | 2020 | 155 | |
| 5 | 2020 | 85 | |
| 6 | 2021 | 48 | |
| 7 | 2020 | 27 | |
| 8 | 2021 | 21 | |
| 9 | 2019 | 12 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2024 | 0 |
About Giulia Pullano
Giulia Pullano is a scholar working on Modeling and Simulation, Infectious Diseases, Economics and Econometrics, Sociology and Political Science and Global and Planetary Change, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), COVID-19 Pandemic Impacts (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Climate Change and Health Impacts (1 paper), Fire effects on ecosystems (1 paper), COVID-19 Clinical Research Studies (1 paper), SARS-CoV-2 detection and testing (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (956 citations), Infectious Diseases (430 citations), Transportation (136 citations), Health (117 citations) and Economics and Econometrics (433 citations). Giulia Pullano has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Vittoria Colizza, Pierre‐Yves Boëlle, Eugenio Valdano, Laura Di Domenico, Francesco Pinotti, Chiara Poletto, C Sabbatini, Bernardo Gutiérrez, Yazdan Yazdanpanah and Mathias Altmann. Their work appears in journals such as Eurosurveillance, Nature Communications, BMC Medicine, JMIR Public Health and Surveillance and The Lancet.
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.