Dolorès Vaira
- Virology top 2%
- HIV Research and Treatment 28
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 21
- HIV/AIDS drug development and treatment 19
- Hepatology top 10%
- Hepatitis C virus research 9
- Epidemiology top 10%
- Hepatitis B Virus Studies 5
- HIV, Drug Use, Sexual Risk 5
- Liver Disease Diagnosis and Treatment 3
- Emergency Medicine top 5%
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- Immune Cell Function and Interaction 4
- Co-authors
- Michel MoutschenFrançois DabisPhilippe LepageC. Van GoethemArlette SimononPhilippe Van de PerrePhilippe MsellatiEtienne Karita
- Journals
- New England Journal of Medicine (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (2 papers)
- Partner nations
- BelgiumDemocratic Republic of the CongoSwitzerland
In The Last Decade
Dolorès Vaira
42 papers receiving 733 citations
Peers
Comparison fields: 5 of 82
- Virology 343
- Infectious Diseases 504
- Hepatology 86
- Epidemiology 367
- Emergency Medicine 100
Countries citing papers authored by Dolorès Vaira
This map shows the geographic impact of Dolorès Vaira'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 Dolorès Vaira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dolorès Vaira more than expected).
Fields of papers citing papers by Dolorès Vaira
This network shows the impact of papers produced by Dolorès Vaira. 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 Dolorès Vaira. The network helps show where Dolorès Vaira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dolorès Vaira, 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 | 2023 | 0 | |
| 2 | 2021 | 22 | |
| 3 | 2020 | 1 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 21 | |
| 6 | 2017 | 10 | |
| 7 | 2017 | 14 | |
| 8 | Implementation of a Classic Nested PCR DNA for HIVDiagnosis in Kinshasa | 2014 | 2 |
| 9 | 2014 | 5 | |
| 10 | 2014 | 13 | |
| 11 | 2012 | 30 | |
| 12 | 2012 | 11 | |
| 13 | Evolution over a 15 year period of the epidemiological profile of 2884 newly diagnosed HCV patients in Belgium. | 2011 | 0 |
| 14 | 2007 | 14 | |
| 15 | 2005 | 23 | |
| 16 | 2003 | 9 | |
| 17 | Treatment of acute hepatitis C with interferon alpha 2b prevents chronicity. | 1999 | 2 |
| 18 | 1991 | 254 | |
| 19 | 1990 | 6 | |
| 20 | 1990 | 1 |
About Dolorès Vaira
Dolorès Vaira is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 44 papers that have together received 757 indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), HIV/AIDS Research and Interventions (21 papers), HIV/AIDS drug development and treatment (19 papers), Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Immune Cell Function and Interaction (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Virology (343 citations), Infectious Diseases (504 citations) and Hepatology (86 citations). Dolorès Vaira has collaborated with scholars based in Belgium, Democratic Republic of the Congo and Switzerland. Frequent co-authors include Michel Moutschen, François Dabis, Philippe Lepage, C. Van Goethem, Arlette Simonon, Philippe Van de Perre, Philippe Msellati, Etienne Karita, Déo-Gratias Hitimana and Marie‐Pierre Hayette. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PLoS ONE.
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.