Taina T. Immonen
- Virology top 5%
- HIV Research and Treatment 15
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- Breast Cancer Treatment Studies 2
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions 7
- HIV/AIDS drug development and treatment 7
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- Viral-associated cancers and disorders 2
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- Herpesvirus Infections and Treatments 5
- Cytomegalovirus and herpesvirus research 5
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- Mathematical and Theoretical Epidemiology and Ecology Models 2
- Co-authors
- Maggie C.U. CheangSamuel LeungTorsten O. NielsenChris BajdikSimon J. CrabbDavid HuntsmanStephen ChiaBrandon F. Keele
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of Virology (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Taina T. Immonen
19 papers receiving 373 citations
Peers
Comparison fields: 5 of 38
- Virology 182
- Cancer Research 121
- Infectious Diseases 129
- Oncology 108
- Pathology and Forensic Medicine 57
Countries citing papers authored by Taina T. Immonen
This map shows the geographic impact of Taina T. Immonen'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 Taina T. Immonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taina T. Immonen more than expected).
Fields of papers citing papers by Taina T. Immonen
This network shows the impact of papers produced by Taina T. Immonen. 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 Taina T. Immonen. The network helps show where Taina T. Immonen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Taina T. Immonen, 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 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 28 | |
| 7 | 2019 | 3 | |
| 8 | 2019 | 26 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 9 | |
| 11 | 2017 | 66 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 3 | |
| 14 | 2014 | 15 | |
| 15 | Computational Models of Ex Vivo HIV-1 Dynamics and Fitness Across Scales | 2013 | 1 |
| 16 | 2012 | 10 | |
| 17 | 2010 | 23 | |
| 18 | 2008 | 120 | |
| 19 | 2008 | 13 |
About Taina T. Immonen
Taina T. Immonen is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 376 indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS Research and Interventions (7 papers), HIV/AIDS drug development and treatment (7 papers), Herpesvirus Infections and Treatments (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Viral-associated cancers and disorders (2 papers), Breast Cancer Treatment Studies (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Virology (182 citations), Cancer Research (121 citations) and Infectious Diseases (129 citations). Taina T. Immonen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Maggie C.U. Cheang, Samuel Leung, Torsten O. Nielsen, Chris Bajdik, Simon J. Crabb, David Huntsman, Stephen Chia, Brandon F. Keele, Thomas Leitner and Christine M. Fennessey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.
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.