Stephen C. De Rosa
- Virology top 0.2%
- HIV Research and Treatment 37
- Immunology top 0.5%
- Immune Cell Function and Interaction 45
- T-cell and B-cell Immunology 42
- Immunotherapy and Immune Responses 24
- Infectious Diseases top 1%
- Biochemistry top 1%
- Biophysics top 1%
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- vaccines and immunoinformatics approaches 15
- Single-cell and spatial transcriptomics 12
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- Cytomegalovirus and herpesvirus research 11
- Herpesvirus Infections and Treatments 9
- Co-authors
- Mario RoedererLeonore A. HerzenbergMichael R. BettsJason M. BrenchleyLeonard A. HerzenbergDavid A. PriceRichard A. KoupDaniel C. Douek
- Journals
- Proceedings of the National Academy of Sciences (5 papers)The Lancet (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSouth AfricaNetherlands
In The Last Decade
Stephen C. De Rosa
98 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Virology 1.8k
- Immunology 3.9k
- Infectious Diseases 1.0k
- Biochemistry 373
- Biophysics 255
Countries citing papers authored by Stephen C. De Rosa
This map shows the geographic impact of Stephen C. De Rosa'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 Stephen C. De Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen C. De Rosa more than expected).
Fields of papers citing papers by Stephen C. De Rosa
This network shows the impact of papers produced by Stephen C. De Rosa. 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 Stephen C. De Rosa. The network helps show where Stephen C. De Rosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen C. De Rosa, 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 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 70 | |
| 6 | 2023 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 6 | |
| 9 | 2017 | 11 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 28 | |
| 12 | 2014 | 1 | |
| 13 | 2014 | 135 | |
| 14 | 2011 | 110 | |
| 15 | 2011 | 40 | |
| 16 | 2007 | 174 | |
| 17 | 2006 | 91 | |
| 18 | 2004 | 8 | |
| 19 | 2004 | 141 | |
| 20 | 2001 | 137 |
About Stephen C. De Rosa
Stephen C. De Rosa is a scholar working on Virology, Immunology and Infectious Diseases, having authored 101 papers that have together received 7.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (42 papers), HIV Research and Treatment (37 papers), Immunotherapy and Immune Responses (24 papers), vaccines and immunoinformatics approaches (15 papers), Single-cell and spatial transcriptomics (12 papers), Cytomegalovirus and herpesvirus research (11 papers) and Herpesvirus Infections and Treatments (9 papers). The work is most often cited by research in Virology (1.8k citations), Immunology (3.9k citations) and Infectious Diseases (1.0k citations). Stephen C. De Rosa has collaborated with scholars based in United States, South Africa and Netherlands. Frequent co-authors include Mario Roederer, Leonore A. Herzenberg, Michael R. Betts, Jason M. Brenchley, Leonard A. Herzenberg, David A. Price, Richard A. Koup, Daniel C. Douek, M. Juliana McElrath and Stephen W. Ela. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.