Davide Mangioni
- Modeling and Simulation top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 8
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 4
- Virology top 10%
- HIV Research and Treatment 3
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- Antibiotic Use and Resistance 3
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 6
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- Sepsis Diagnosis and Treatment 4
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- Antibiotics Pharmacokinetics and Efficacy 4
- Co-authors
- Alessandra BanderaAndrea GoriSimone VillaAndrea LombardiMario RaviǵlioneGiorgio BozziAntonio MuscatelloValeria Castelli
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Molecular Sciences (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Davide Mangioni
31 papers receiving 602 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 68
- Infectious Diseases 273
- Virology 57
- Applied Microbiology and Biotechnology 21
- Molecular Medicine 38
Countries citing papers authored by Davide Mangioni
This map shows the geographic impact of Davide Mangioni'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 Davide Mangioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Mangioni more than expected).
Fields of papers citing papers by Davide Mangioni
This network shows the impact of papers produced by Davide Mangioni. 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 Davide Mangioni. The network helps show where Davide Mangioni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Davide Mangioni, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 78 | |
| 13 | 2020 | 53 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 38 | |
| 16 | 2020 | 94 | |
| 17 | 2019 | 6 | |
| 18 | 2016 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2014 | 6 |
About Davide Mangioni
Davide Mangioni is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 32 papers that have together received 614 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), Antibiotic Resistance in Bacteria (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (4 papers), Sepsis Diagnosis and Treatment (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), HIV Research and Treatment (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Infectious Diseases (273 citations) and Virology (57 citations). Davide Mangioni has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alessandra Bandera, Andrea Gori, Simone Villa, Andrea Lombardi, Mario Raviǵlione, Giorgio Bozzi, Antonio Muscatello, Valeria Castelli, Ernesto Jaramillo and Emanuele Palomba. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and The Journal of Infectious Diseases.
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.