Massimo Pizzato
- Virology top 0.2%
- HIV Research and Treatment 31
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 11
- SARS-CoV-2 and COVID-19 Research 6
- Immunology top 2%
- Epidemiology top 5%
- Herpesvirus Infections and Treatments 9
- Cytomegalovirus and herpesvirus research 8
- Genetics top 5%
- Virus-based gene therapy research 14
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- Mosquito-borne diseases and control 6
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- RNA Interference and Gene Delivery 5
- Co-authors
- Yasuhiro TakeuchiMyra O. McClureJeremy LubanAjit ChandeFederico SantoniSerena ZiglioAnnachiara RosaEdward D. Blair
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Massimo Pizzato
53 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Virology 1.7k
- Infectious Diseases 953
- Immunology 1.0k
- Epidemiology 733
- Genetics 555
Countries citing papers authored by Massimo Pizzato
This map shows the geographic impact of Massimo Pizzato'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 Pizzato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Pizzato more than expected).
Fields of papers citing papers by Massimo Pizzato
This network shows the impact of papers produced by Massimo Pizzato. 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 Pizzato. The network helps show where Massimo Pizzato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Pizzato, 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 | 2023 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 37 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 47 | |
| 7 | 2017 | 39 | |
| 8 | 2016 | 74 | |
| 9 | 2016 | 74 | |
| 10 | 2014 | 2 | |
| 11 | 2012 | 141 | |
| 12 | 2012 | 6 | |
| 13 | 2011 | 34 | |
| 14 | TRIM5 is an innate immune sensor for the retrovirus capsid latticebreakdown → | 2011 | 513 |
| 15 | 2008 | 135 | |
| 16 | 2007 | 102 | |
| 17 | 2001 | 47 | |
| 18 | 1999 | 104 | |
| 19 | 1998 | 10 | |
| 20 | 1998 | 41 |
About Massimo Pizzato
Massimo Pizzato is a scholar working on Virology, Infectious Diseases, Immunology, Genetics and Modeling and Simulation, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (31 papers), Virus-based gene therapy research (14 papers), HIV/AIDS drug development and treatment (11 papers), Herpesvirus Infections and Treatments (9 papers), Cytomegalovirus and herpesvirus research (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Mosquito-borne diseases and control (6 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Virology (1.7k citations), Infectious Diseases (953 citations), Immunology (1.0k citations), Epidemiology (733 citations) and Genetics (555 citations). Massimo Pizzato has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Yasuhiro Takeuchi, Myra O. McClure, Jeremy Luban, Ajit Chande, Federico Santoni, Serena Ziglio, Annachiara Rosa, Edward D. Blair, Giorgio Palù and Heinrich G. Göttlinger. Their work appears in journals such as Journal of Virology, Gene Therapy, Viruses, Proceedings of the National Academy of Sciences and PLoS ONE.
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.