Giulia Berno
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
Papers in
-
- HIV/AIDS drug development and treatment 10
- SARS-CoV-2 and COVID-19 Research 6
- HIV/AIDS Research and Interventions 4
- SARS-CoV-2 detection and testing 3
- COVID-19 Clinical Research Studies 1
- Virology 10
- HIV Research and Treatment 10
- Co-authors
- Lavinia Fabeni (15 shared papers)Carlo Federico Perno (6 shared papers)Andrea Antinori (11 shared papers)Emanuela Giombini (9 shared papers)Cesare Ernesto Maria Gruber (8 shared papers)Anna Rosa Garbuglia (2 shared papers)Caterina Gori (4 shared papers)Francesca Ceccherini‐Silberstein (5 shared papers)
In The Last Decade
Giulia Berno
29 papers receiving 345 citations
Peers
Comparison fields: 5 of 34
- Virology 72
- Infectious Diseases 259
- Pharmacology 12
- Hepatology 7
- Immunology 13
Countries citing papers authored by Giulia Berno
This map shows the geographic impact of Giulia Berno'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 Giulia Berno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Berno more than expected).
Fields of papers citing papers by Giulia Berno
This network shows the impact of papers produced by Giulia Berno. 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 Giulia Berno. The network helps show where Giulia Berno may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Berno, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 76 | |
| 2 | 2022 | 27 | |
| 3 | 2015 | 24 | |
| 4 | 2017 | 23 | |
| 5 | 2014 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2012 | 18 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2012 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2014 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 4 |
About Giulia Berno
Giulia Berno is a scholar working on Infectious Diseases, Virology, Pharmacology, Epidemiology and Hepatology, having authored 34 papers that have together received 349 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV/AIDS Research and Interventions (4 papers), SARS-CoV-2 detection and testing (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Virology and Viral Diseases (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Virology (72 citations), Infectious Diseases (259 citations), Pharmacology (12 citations), Hepatology (7 citations) and Immunology (13 citations). Giulia Berno has collaborated with scholars based in Italy, Cameroon and France. Frequent co-authors include Lavinia Fabeni, Carlo Federico Perno, Andrea Antinori, Emanuela Giombini, Cesare Ernesto Maria Gruber, Anna Rosa Garbuglia, Caterina Gori, Francesca Ceccherini‐Silberstein, Martina Rueca and Giulia Matusali. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Viruses, Sexually Transmitted Infections, Journal of Clinical Microbiology and Virology Journal.
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.