Marco Massari
Impact in
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies
- Microbiology top 1%
- Bacterial Infections and Vaccines
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 4
- Pneumonia and Respiratory Infections 3
- Virology and Viral Diseases 2
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- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Stefania Salmaso (7 shared papers)Gianpaolo Scalia Tomba (4 shared papers)Niel Hens (2 shared papers)Joël Mossong (2 shared papers)Philippe Beutels (2 shared papers)Janneke C. M. Heijne (1 shared paper)Magdalena Rosińska (1 shared paper)Jacco Wallinga (1 shared paper)
- Journals
- Vaccine (5 papers)PLoS ONE (5 papers)Eurosurveillance (3 papers)BMJ Open (3 papers)Epidemiology and Infection (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Marco Massari
41 papers receiving 3.2k citations
Marco Massari's Hit Papers
Peers
Comparison fields: 5 of 140
- Modeling and Simulation 1.3k
- Microbiology 343
- Epidemiology 1.3k
- Infectious Diseases 686
- Health 235
Countries citing papers authored by Marco Massari
This map shows the geographic impact of Marco Massari'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 Marco Massari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Massari more than expected).
Fields of papers citing papers by Marco Massari
This network shows the impact of papers produced by Marco Massari. 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 Marco Massari. The network helps show where Marco Massari may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Massari, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases Hit paper breakdown → | 2008 | 2045 |
| 2 | 2005 | 224 | |
| 3 | 2008 | 154 | |
| 4 | 2007 | 104 | |
| 5 | 2011 | 65 | |
| 6 | 2016 | 56 | |
| 7 | 2007 | 49 | |
| 8 | 2007 | 46 | |
| 9 | 2006 | 44 | |
| 10 | 2004 | 44 | |
| 11 | 2007 | 42 | |
| 12 | 2009 | 38 | |
| 13 | 2006 | 36 | |
| 14 | 2009 | 36 | |
| 15 | 2008 | 36 | |
| 16 | 2013 | 36 | |
| 17 | 2007 | 35 | |
| 18 | 2021 | 28 | |
| 19 | 2007 | 26 | |
| 20 | 2015 | 24 |
About Marco Massari
Marco Massari is a scholar working on Epidemiology, Infectious Diseases, Neurology, Microbiology and Applied Microbiology and Biotechnology, having authored 44 papers that have together received 3.3k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Bacterial Infections and Vaccines (4 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Antibiotic Use and Resistance (4 papers), Peripheral Neuropathies and Disorders (4 papers), Pneumonia and Respiratory Infections (3 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Modeling and Simulation (1.3k citations), Microbiology (343 citations), Epidemiology (1.3k citations), Infectious Diseases (686 citations) and Health (235 citations). Marco Massari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefania Salmaso, Gianpaolo Scalia Tomba, Niel Hens, Joël Mossong, Philippe Beutels, Janneke C. M. Heijne, Magdalena Rosińska, Jacco Wallinga, Rafael Mikolajczyk and Małgorzata Sadkowska-Todys. Their work appears in journals such as Vaccine, PLoS ONE, Eurosurveillance, BMJ Open and Epidemiology and Infection.
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.