Túlio de Oliveira
- Virology top 0.2%
- HIV Research and Treatment 101
- Infectious Diseases top 0.1%
- HIV/AIDS Research and Interventions 83
- HIV/AIDS drug development and treatment 56
- SARS-CoV-2 and COVID-19 Research 23
- Microbiology top 2%
- Epidemiology top 2%
- HIV, Drug Use, Sexual Risk 24
- Modeling and Simulation top 2%
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- Bacteriophages and microbial interactions 16
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- Genomics and Phylogenetic Studies 16
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- T-cell and Retrovirus Studies 10
- Co-authors
- Eduan WilkinsonRichard LessellsAnne–Mieke VandammeRobert W. ShaferRavindra K. GuptaSergei L. Kosakovsky PondFrank TanserDaniela Fera
- Journals
- AIDS Research and Human Retroviruses (14 papers)PLoS ONE (14 papers)Journal of Virology (9 papers)
- Partner nations
- South AfricaUnited StatesUnited Kingdom
In The Last Decade
Túlio de Oliveira
186 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Virology 2.5k
- Infectious Diseases 4.5k
- Microbiology 34
- Epidemiology 1.4k
- Modeling and Simulation 184
Countries citing papers authored by Túlio de Oliveira
This map shows the geographic impact of Túlio de Oliveira'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 Túlio de Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Túlio de Oliveira more than expected).
Fields of papers citing papers by Túlio de Oliveira
This network shows the impact of papers produced by Túlio de Oliveira. 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 Túlio de Oliveira. The network helps show where Túlio de Oliveira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Túlio de Oliveira, 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 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 24 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 83 | |
| 15 | 2020 | 50 | |
| 16 | 2019 | 0 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 3 | |
| 19 | 2007 | 68 | |
| 20 | 2007 | 0 |
About Túlio de Oliveira
Túlio de Oliveira is a scholar working on Virology, Infectious Diseases and Modeling and Simulation, having authored 202 papers that have together received 6.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (101 papers), HIV/AIDS Research and Interventions (83 papers), HIV/AIDS drug development and treatment (56 papers), HIV, Drug Use, Sexual Risk (24 papers), SARS-CoV-2 and COVID-19 Research (23 papers), Bacteriophages and microbial interactions (16 papers), Genomics and Phylogenetic Studies (16 papers) and T-cell and Retrovirus Studies (10 papers). The work is most often cited by research in Virology (2.5k citations), Infectious Diseases (4.5k citations) and Microbiology (34 citations). Túlio de Oliveira has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Eduan Wilkinson, Richard Lessells, Anne–Mieke Vandamme, Robert W. Shafer, Ravindra K. Gupta, Sergei L. Kosakovsky Pond, Frank Tanser, Daniela Fera, Janin Nouhin and Kaiming Tao. Their work appears in journals such as AIDS Research and Human Retroviruses, PLoS ONE, Journal of Virology, AIDS and Virus Evolution.
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.