Stephen C. De Rosa

15.3k total citations · 3 hit papers
101 papers, 7.1k citations indexed

About

Stephen C. De Rosa is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Stephen C. De Rosa has authored 101 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Immunology, 37 papers in Virology and 32 papers in Molecular Biology. Recurrent topics in Stephen C. De Rosa's work include Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (42 papers) and HIV Research and Treatment (37 papers). Stephen C. De Rosa is often cited by papers focused on Immune Cell Function and Interaction (45 papers), T-cell and B-cell Immunology (42 papers) and HIV Research and Treatment (37 papers). Stephen C. De Rosa collaborates with scholars based in United States, South Africa and Netherlands. Stephen C. De Rosa's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.

In The Last Decade

Stephen C. De Rosa

98 papers receiving 7.0k citations

Hit Papers

Sensitive and viable identification of antigen-specific C... 1997 2026 2006 2016 2003 1997 2008 400 800 1.2k

Peers

Stephen C. De Rosa
Ming Li China
Li Wu United States
Arnold B. Rabson United States
Darius Moradpour Switzerland
Leo C. James United Kingdom
Robin E. Offord Switzerland
Ming Li China
Stephen C. De Rosa
Citations per year, relative to Stephen C. De Rosa Stephen C. De Rosa (= 1×) peers Ming Li

Countries citing papers authored by Stephen C. De Rosa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stephen C. De Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. De Rosa. A scholar is included among the top collaborators of Stephen C. De Rosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen C. De Rosa. Stephen C. De Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Anderson, Joel, et al.. (2025). A Qualitative Exploration of the Experiences of Disclosing Non-Monogamy. Archives of Sexual Behavior. 54(4). 1481–1495. 2 indexed citations
3.
Dintwe, One, Lamar Ballweber-Fleming, Valentin Voillet, et al.. (2024). Adolescent BCG revaccination induces a phenotypic shift in CD4+ T cell responses to Mycobacterium tuberculosis. Nature Communications. 15(1). 5191–5191. 4 indexed citations
4.
Mosmann, Tim R., Jonathan A. Rebhahn, Stephen C. De Rosa, et al.. (2024). SWIFT clustering analysis of intracellular cytokine staining flow cytometry data of the HVTN 105 vaccine trial reveals high frequencies of HIV-specific CD4+ T cell responses and associations with humoral responses. Frontiers in Immunology. 15. 1347926–1347926. 1 indexed citations
5.
Talla, Aarthi, Suhas Vasaikar, Gregory L. Szeto, et al.. (2023). Persistent serum protein signatures define an inflammatory subcategory of long COVID. Nature Communications. 14(1). 3417–3417. 70 indexed citations
6.
Ryu, Heeju, K. Rachael Parks, Kristen W. Cohen, et al.. (2023). mRNA vaccination boosts S-specific T cell memory and promotes expansion of CD45RAint TEMRA-like CD8+ T cells in COVID-19 recovered individuals. Cell Reports Medicine. 4(8). 101149–101149. 7 indexed citations
7.
Curlin, Marcel E., Jason Shao, Gabriela Diaz, et al.. (2020). Long-term mucosal T cell activation and homing phenotypes in recipients of an Ad5-vectored HIV vaccine. Vaccine. 38(36). 5814–5821. 2 indexed citations
8.
Rakshit, Srabanti, Vasista Adiga, Greg Finak, et al.. (2020). HIV Skews a Balanced Mtb-Specific Th17 Response in Latent Tuberculosis Subjects to a Pro-inflammatory Profile Independent of Viral Load. Cell Reports. 33(9). 108451–108451. 6 indexed citations
9.
Hensel, Michael, Tao Peng, Anqi Cheng, et al.. (2017). Selective Expression of CCR10 and CXCR3 by Circulating Human Herpes Simplex Virus-Specific CD8 T Cells. Journal of Virology. 91(19). 11 indexed citations
10.
Mpina, Maxmillian, Nicholas J. Maurice, Masanao Yajima, et al.. (2017). Controlled Human Malaria Infection Leads to Long-Lasting Changes in Innate and Innate-like Lymphocyte Populations. The Journal of Immunology. 199(1). 107–118. 35 indexed citations
11.
Moncunill, Gemma, Stephen C. De Rosa, Aintzane Ayestaran, et al.. (2017). RTS,S/AS01E Malaria Vaccine Induces Memory and Polyfunctional T Cell Responses in a Pediatric African Phase III Trial. Frontiers in Immunology. 8. 1008–1008. 28 indexed citations
12.
Frahm, Nicole, Stephen C. De Rosa, Christina Ochsenbauer, et al.. (2014). CD8 + T-cell Mediated HIV Inhibition after Vaccination with a DNA/Recombinant Ad5 (rAd5) HIV Vaccine Is Similar to that Seen in Treated HIV Infection. AIDS Research and Human Retroviruses. 30(S1). A84–A84. 1 indexed citations
13.
Finak, Greg, Jacob Frelinger, Wenxin Jiang, et al.. (2014). OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis. PLoS Computational Biology. 10(8). e1003806–e1003806. 135 indexed citations
14.
Frahm, Nicole, Allan C. deCamp, Donald K. Carter, et al.. (2011). Human adenovirus-specific T cells modulate HIV-specific T cell responses to an Ad5-vectored HIV-1 vaccine. Journal of Clinical Investigation. 122(1). 359–367. 110 indexed citations
15.
Rosa, Stephen C. De, Evan P. Thomas, John Bui, et al.. (2011). HIV-DNA Priming Alters T Cell Responses to HIV-Adenovirus Vaccine Even When Responses to DNA Are Undetectable. The Journal of Immunology. 187(6). 3391–3401. 40 indexed citations
16.
Horton, Helen, Evan P. Thomas, Ian Frank, et al.. (2007). Optimization and validation of an 8-color intracellular cytokine staining (ICS) assay to quantify antigen-specific T cells induced by vaccination. Journal of Immunological Methods. 323(1). 39–54. 174 indexed citations
17.
Horton, Helen, Ian Frank, Ruth Baydo, et al.. (2006). Preservation of T Cell Proliferation Restricted by Protective HLA Alleles Is Critical for Immune Control of HIV-1 Infection. The Journal of Immunology. 177(10). 7406–7415. 91 indexed citations
18.
Lueders, Kira K., Stephen C. De Rosa, Antonio Valentin, et al.. (2004). A Potent Anti-HIV Immunotoxin Blocks Spreading Infection by Primary HIV Type 1 Isolates in Multiple Cell Types. AIDS Research and Human Retroviruses. 20(2). 145–150. 8 indexed citations
19.
Rosa, Stephen C. De, et al.. (2004). Ontogeny of γδ T Cells in Humans. The Journal of Immunology. 172(3). 1637–1645. 141 indexed citations
20.
Mueller, Yvonne M., Stephen C. De Rosa, James Witek, et al.. (2001). Increased CD95/Fas-Induced Apoptosis of HIV-Specific CD8+ T Cells. Immunity. 15(6). 871–882. 137 indexed citations

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.

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