Giorgio Dirani
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
-
- Plasma Applications and Diagnostics
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- SARS-CoV-2 detection and testing 6
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 3
- Viral Infections and Vectors 2
- Co-authors
- Vittorio Sambri (32 shared papers)Silvia Zannoli (20 shared papers)Romolo Laurita (2 shared papers)Filippo Capelli (2 shared papers)Matteo Gherardi (2 shared papers)Alessandro Paglianti (2 shared papers)Vittorio Colombo (2 shared papers)Patrizia Farabegoli (5 shared papers)
- Journals
- Viruses (4 papers)PLoS ONE (2 papers)Plasma Processes and Polymers (2 papers)Communications Materials (1 paper)Pharmaceutics (1 paper)
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
Giorgio Dirani
30 papers receiving 290 citations
Peers
Comparison fields: 5 of 81
- Infectious Diseases 109
- Radiology, Nuclear Medicine and Imaging 70
- Molecular Medicine 14
- Modeling and Simulation 8
- Pulmonary and Respiratory Medicine 46
Countries citing papers authored by Giorgio Dirani
This map shows the geographic impact of Giorgio Dirani'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 Giorgio Dirani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Dirani more than expected).
Fields of papers citing papers by Giorgio Dirani
This network shows the impact of papers produced by Giorgio Dirani. 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 Giorgio Dirani. The network helps show where Giorgio Dirani may publish in the future.
Co-authors
The 25 scholars most cited alongside Giorgio Dirani, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2021 | 30 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 18 | |
| 5 | 2011 | 18 | |
| 6 | 2019 | 13 | |
| 7 | 2023 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2017 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2019 | 4 |
About Giorgio Dirani
Giorgio Dirani is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 298 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), SARS-CoV-2 detection and testing (6 papers), Inhalation and Respiratory Drug Delivery (3 papers), Viral gastroenteritis research and epidemiology (3 papers), COVID-19 Clinical Research Studies (3 papers), Infection Control and Ventilation (2 papers), Biosensors and Analytical Detection (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (109 citations), Radiology, Nuclear Medicine and Imaging (70 citations), Molecular Medicine (14 citations), Modeling and Simulation (8 citations) and Pulmonary and Respiratory Medicine (46 citations). Giorgio Dirani has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Vittorio Sambri, Silvia Zannoli, Romolo Laurita, Filippo Capelli, Matteo Gherardi, Alessandro Paglianti, Vittorio Colombo, Patrizia Farabegoli, Andrea Mancini and Fabio Gentilini. Their work appears in journals such as Viruses, PLoS ONE, Plasma Processes and Polymers, Communications Materials and Pharmaceutics.
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.