Domenico Pascucci
- Infectious Diseases top 10%
- Health top 10%
- Epidemiology
- General Health Professions
- Modeling and Simulation top 5%
- Co-authors
- Gianfranco DamianiMario Cesare NurchisPatrizia LaurentiFloriana D’AmbrosioMartina SapienzaLeonardo VillaniMaria Lucia SpecchiaMichele Sassano
- Topics
- Vaccine Coverage and Hesitancy (14 papers)SARS-CoV-2 and COVID-19 Research (13 papers)Influenza Virus Research Studies (5 papers)
- Journals
- Journal of HepatologyInternational Journal of Environmental Research and Public HealthThyroid
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Domenico Pascucci
28 papers receiving 331 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 130
- Health 102
- Epidemiology 85
- General Health Professions 75
- Modeling and Simulation 61
Countries citing papers authored by Domenico Pascucci
This map shows the geographic impact of Domenico Pascucci'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 Domenico Pascucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domenico Pascucci more than expected).
Fields of papers citing papers by Domenico Pascucci
This network shows the impact of papers produced by Domenico Pascucci. 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 Domenico Pascucci. The network helps show where Domenico Pascucci may publish in the future.
Co-authorship network of co-authors of Domenico Pascucci
This figure shows the co-authorship network connecting the top 25 collaborators of Domenico Pascucci. A scholar is included among the top collaborators of Domenico Pascucci 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 Domenico Pascucci. Domenico Pascucci 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 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 12 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 110 | |
| 19 | 44 | |
| 20 | 6 |
About Domenico Pascucci
Domenico Pascucci is a scholar working on Health, Modeling and Simulation and Infectious Diseases, having authored 35 papers that have together received 337 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (14 papers), SARS-CoV-2 and COVID-19 Research (13 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Health (102 citations) and Infectious Diseases (130 citations). Domenico Pascucci has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Gianfranco Damiani, Mario Cesare Nurchis, Patrizia Laurenti, Floriana D’Ambrosio, Martina Sapienza, Leonardo Villani, Maria Lucia Specchia, Michele Sassano, Giuseppe Vetrugno and Silvia Martinelli. Their work appears in journals such as Journal of Hepatology, International Journal of Environmental Research and Public Health and Thyroid.
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.