Roberto Monarca
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
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- HIV/AIDS Research and Interventions
- HIV/AIDS drug development and treatment
Papers in
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- Hepatitis B Virus Studies 3
- HIV, Drug Use, Sexual Risk 3
- Liver Disease Diagnosis and Treatment 2
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- HIV/AIDS Research and Interventions 3
- Tuberculosis Research and Epidemiology 1
- Co-authors
- Sergio Babudieri (13 shared papers)Giulio Starnini (7 shared papers)Sergio Carbonara (6 shared papers)Giovanni Rezza (4 shared papers)Benedetta Longo (5 shared papers)Maria Fenicia Vescio (1 shared paper)Giordano Madeddu (6 shared papers)Lara Tavoschi (4 shared papers)
In The Last Decade
Roberto Monarca
15 papers receiving 367 citations
Peers
Comparison fields: 5 of 35
- Hepatology 185
- Infectious Diseases 98
- Epidemiology 168
- Health 14
- Modeling and Simulation 5
Countries citing papers authored by Roberto Monarca
This map shows the geographic impact of Roberto Monarca'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 Roberto Monarca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Monarca more than expected).
Fields of papers citing papers by Roberto Monarca
This network shows the impact of papers produced by Roberto Monarca. 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 Roberto Monarca. The network helps show where Roberto Monarca may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Monarca, 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 | 2008 | 129 | |
| 2 | Blood born viral infections, sexually transmitted diseases and latent tuberculosis in italian prisons: a preliminary report of a large multicenter study. | 2012 | 42 |
| 3 | 2018 | 33 | |
| 4 | 2007 | 28 | |
| 5 | 2012 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2005 | 25 | |
| 8 | 2019 | 21 | |
| 9 | 2015 | 12 | |
| 10 | 2016 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2011 | 6 | |
| 13 | 2006 | 6 | |
| 14 | 2008 | 4 | |
| 15 | May some HCV genotype 1 patients still benefit from dual therapy? The role of very early HCV kinetics. | 2015 | 1 |
About Roberto Monarca
Roberto Monarca is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Surgery and Neurology, having authored 15 papers that have together received 386 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Hepatitis B Virus Studies (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Tuberculosis Research and Epidemiology (1 paper), Criminal Justice and Corrections Analysis (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (185 citations), Infectious Diseases (98 citations), Epidemiology (168 citations), Health (14 citations) and Modeling and Simulation (5 citations). Roberto Monarca has collaborated with scholars based in Italy, Portugal and Sweden. Frequent co-authors include Sergio Babudieri, Giulio Starnini, Sergio Carbonara, Giovanni Rezza, Benedetta Longo, Maria Fenicia Vescio, Giordano Madeddu, Lara Tavoschi, Dagmar Hedrich and Hilde Vroling. Their work appears in journals such as Infection, Journal of Medical Virology, BMC Infectious Diseases, Epidemiologic Reviews and European Respiratory 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.