Marina Caskey
Impact in
- Virology top 0.2%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 35
- HIV Research and Treatment 35
-
- HIV/AIDS drug development and treatment 21
- HIV/AIDS Research and Interventions 11
- SARS-CoV-2 and COVID-19 Research 10
- Co-authors
- Michel C. NussenzweigChristine TrumpfhellerRalph M. SteinmanFlorian KleinM. Paula LonghiSarah J. SchlesingerMarco ColonnaThiago Y. Oliveira
- Journals
- The Journal of Experimental Medicine (8 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Medicine (3 papers)Nature Communications (3 papers)Nature (3 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Marina Caskey
54 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Virology 1.8k
- Infectious Diseases 2.0k
- Immunology 2.2k
- Epidemiology 662
- Radiology, Nuclear Medicine and Imaging 409
Countries citing papers authored by Marina Caskey
This map shows the geographic impact of Marina Caskey'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 Marina Caskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Caskey more than expected).
Fields of papers citing papers by Marina Caskey
This network shows the impact of papers produced by Marina Caskey. 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 Marina Caskey. The network helps show where Marina Caskey may publish in the future.
Co-authors
The 25 scholars most cited alongside Marina Caskey, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 25 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 49 | |
| 8 | 2022 | 100 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 81 | |
| 11 | 2021 | 112 | |
| 12 | 2020 | 73 | |
| 13 | 2020 | 99 | |
| 14 | 2020 | 40 | |
| 15 | 2016 | 227 | |
| 16 | 2016 | 264 | |
| 17 | 2016 | 128 | |
| 18 | 2016 | 20 | |
| 19 | 2007 | 37 | |
| 20 | 2007 | 63 |
About Marina Caskey
Marina Caskey is a scholar working on Virology, Infectious Diseases, Immunology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 55 papers that have together received 4.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (35 papers), HIV/AIDS drug development and treatment (21 papers), Immune Cell Function and Interaction (17 papers), HIV/AIDS Research and Interventions (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Immunotherapy and Immune Responses (10 papers), T-cell and B-cell Immunology (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Virology (1.8k citations), Infectious Diseases (2.0k citations), Immunology (2.2k citations), Epidemiology (662 citations) and Radiology, Nuclear Medicine and Imaging (409 citations). Marina Caskey has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Michel C. Nussenzweig, Christine Trumpfheller, Ralph M. Steinman, Florian Klein, M. Paula Longhi, Sarah J. Schlesinger, Marco Colonna, Thiago Y. Oliveira, Juliana Idoyaga and Andres Μ. Salazar. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Nature Medicine, Nature Communications and Nature.
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.