Massimo Fabiani
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS Research and Interventions
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 25
- HIV/AIDS Research and Interventions 15
- COVID-19 Clinical Research Studies 6
-
- COVID-19 epidemiological studies 11
- Co-authors
- Silvia Declich (40 shared papers)Patrizio Pezzotti (43 shared papers)Flavia Riccardo (40 shared papers)Antonino Bella (35 shared papers)Adelina Spallanzani (3 shared papers)Silvia Moretti (3 shared papers)Alberto Mateo‐Urdiales (34 shared papers)Martina Del Manso (29 shared papers)
In The Last Decade
Massimo Fabiani
114 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 95
- Infectious Diseases 1.1k
- Modeling and Simulation 221
- Health 352
- Virology 139
- Cell Biology 233
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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 262 | |
| 2 | 2018 | 218 | |
| 3 | 2020 | 189 | |
| 4 | 2003 | 157 | |
| 5 | 2020 | 149 | |
| 6 | 2020 | 141 | |
| 7 | 2018 | 115 | |
| 8 | 2000 | 110 | |
| 9 | 2022 | 92 | |
| 10 | 1999 | 91 | |
| 11 | 2022 | 80 | |
| 12 | 1996 | 78 | |
| 13 | 2021 | 76 | |
| 14 | 1998 | 69 | |
| 15 | 2020 | 65 | |
| 16 | 2001 | 64 | |
| 17 | 2021 | 64 | |
| 18 | 2014 | 63 | |
| 19 | 2022 | 61 | |
| 20 | 2021 | 52 |
About Massimo Fabiani
Massimo Fabiani is a scholar working on Infectious Diseases, Modeling and Simulation, Health, Pathology and Forensic Medicine and Virology, having authored 117 papers that have together received 3.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (25 papers), HIV/AIDS Research and Interventions (15 papers), COVID-19 epidemiological studies (11 papers), Vaccine Coverage and Hesitancy (9 papers), COVID-19 Clinical Research Studies (6 papers), Influenza Virus Research Studies (6 papers), Parasitic infections in humans and animals (6 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Modeling and Simulation (221 citations), Health (352 citations), Virology (139 citations) and Cell Biology (233 citations). Massimo Fabiani has collaborated with scholars based in Italy, Sweden and Uganda. Frequent co-authors include Silvia Declich, Patrizio Pezzotti, Flavia Riccardo, Antonino Bella, Adelina Spallanzani, Silvia Moretti, Alberto Mateo‐Urdiales, Martina Del Manso, Matthew Lukwiya and Maria Cristina Rota. Their work appears in journals such as Eurosurveillance, Vaccine, AIDS, Expert Review of Vaccines and Influenza and Other Respiratory Viruses.
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.