Massimo Fabiani
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS Research and Interventions
Papers in
-
- SARS-CoV-2 and COVID-19 Research 22
- COVID-19 Clinical Research Studies 9
- HIV/AIDS Research and Interventions 9
-
- COVID-19 epidemiological studies 16
- Co-authors
- Silvia Declich (40 shared papers)Patrizio Pezzotti (36 shared papers)Flavia Riccardo (34 shared papers)Silvia Moretti (4 shared papers)Adelina Spallanzani (4 shared papers)Antonino Bella (28 shared papers)Matthew Lukwiya (9 shared papers)Alberto Mateo‐Urdiales (27 shared papers)
In The Last Decade
Massimo Fabiani
118 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 309
- Infectious Diseases 1.2k
- Health 457
- Virology 210
- Emergency Medical Services 138
Countries citing papers authored by Massimo Fabiani
This map shows the geographic impact of Massimo Fabiani'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 Massimo Fabiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Fabiani more than expected).
Fields of papers citing papers by Massimo Fabiani
This network shows the impact of papers produced by Massimo Fabiani. 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 Massimo Fabiani. The network helps show where Massimo Fabiani may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Fabiani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 262 | |
| 2 | 2018 | 215 | |
| 3 | 2003 | 154 | |
| 4 | 2020 | 148 | |
| 5 | 2020 | 147 | |
| 6 | 2020 | 138 | |
| 7 | 2018 | 114 | |
| 8 | 2000 | 112 | |
| 9 | 1999 | 93 | |
| 10 | 1996 | 80 | |
| 11 | 2022 | 78 | |
| 12 | 2021 | 72 | |
| 13 | 1998 | 72 | |
| 14 | 2001 | 64 | |
| 15 | 2021 | 63 | |
| 16 | 2014 | 62 | |
| 17 | 2020 | 60 | |
| 18 | 2022 | 60 | |
| 19 | 2021 | 52 | |
| 20 | 2004 | 50 |
About Massimo Fabiani
Massimo Fabiani is a scholar working on Infectious Diseases, Modeling and Simulation, Health, Epidemiology and Virology, having authored 124 papers that have together received 3.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), Vaccine Coverage and Hesitancy (17 papers), COVID-19 epidemiological studies (16 papers), Influenza Virus Research Studies (12 papers), COVID-19 Clinical Research Studies (9 papers), HIV/AIDS Research and Interventions (9 papers), COVID-19 and healthcare impacts (7 papers) and Parasitic infections in humans and animals (6 papers). The work is most often cited by research in Modeling and Simulation (309 citations), Infectious Diseases (1.2k citations), Health (457 citations), Virology (210 citations) and Emergency Medical Services (138 citations). Massimo Fabiani has collaborated with scholars based in Italy, Sweden and Spain. Frequent co-authors include Silvia Declich, Patrizio Pezzotti, Flavia Riccardo, Silvia Moretti, Adelina Spallanzani, Antonino Bella, Matthew Lukwiya, Alberto Mateo‐Urdiales, Martina Del Manso and Lauretta Amato. Their work appears in journals such as Vaccine, Eurosurveillance, AIDS, Expert Review of Vaccines 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.