Anna Vilella
Impact in
- Virology top 2%
- Poxvirus research and outbreaks
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
Papers in
- Epidemiology 16
- Hepatitis B Virus Studies 6
- Pneumonia and Respiratory Infections 5
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- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 4
- Co-authors
- María Ángeles Marcos (7 shared papers)Miguel J. Martínez (4 shared papers)Antoni Trilla (11 shared papers)Aida Peiró-Mestres (1 shared paper)Irene Fuertes (1 shared paper)Mireia Navarro (1 shared paper)Daniel Camprubí (1 shared paper)J. RIERA (1 shared paper)
In The Last Decade
Anna Vilella
38 papers receiving 785 citations
Anna Vilella's Hit Papers
Peers
Comparison fields: 5 of 91
- Virology 242
- Hepatology 69
- Epidemiology 287
- Infectious Diseases 146
- Modeling and Simulation 37
Countries citing papers authored by Anna Vilella
This map shows the geographic impact of Anna Vilella'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 Anna Vilella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Vilella more than expected).
Fields of papers citing papers by Anna Vilella
This network shows the impact of papers produced by Anna Vilella. 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 Anna Vilella. The network helps show where Anna Vilella may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Vilella, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Frequent detection of monkeypox virus DNA in saliva, semen, and other clinical samples from 12 patients, Barcelona, Spain, May to June 2022 Hit paper breakdown → | 2022 | 255 |
| 2 | 2004 | 126 | |
| 3 | 2011 | 45 | |
| 4 | 2016 | 39 | |
| 5 | 2017 | 36 | |
| 6 | 2021 | 31 | |
| 7 | 2011 | 26 | |
| 8 | 2008 | 20 | |
| 9 | 1995 | 20 | |
| 10 | 2008 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2001 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2011 | 11 | |
| 16 | 2008 | 11 | |
| 17 | 2021 | 10 | |
| 18 | [Assessment of patients' expectations before admission to a tertiary-care center]. | 1998 | 10 |
| 19 | 2007 | 10 | |
| 20 | 2021 | 9 |
About Anna Vilella
Anna Vilella is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Hepatology and Health, having authored 43 papers that have together received 809 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (10 papers), Hepatitis B Virus Studies (6 papers), Travel-related health issues (6 papers), Pneumonia and Respiratory Infections (5 papers), COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Vectors (4 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Virology (242 citations), Hepatology (69 citations), Epidemiology (287 citations), Infectious Diseases (146 citations) and Modeling and Simulation (37 citations). Anna Vilella has collaborated with scholars based in Spain and Mexico. Frequent co-authors include María Ángeles Marcos, Miguel J. Martínez, Antoni Trilla, Aida Peiró-Mestres, Irene Fuertes, Mireia Navarro, Daniel Camprubí, J. RIERA, José Luís Blanco and Alba Català. Their work appears in journals such as Journal of Travel Medicine, Vaccine, Eurosurveillance, PLoS ONE and HIV Medicine.
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.