Sara Brett

3.9k total citations · 1 hit paper
65 papers, 2.9k citations indexed

About

Sara Brett is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Sara Brett has authored 65 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 22 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Infectious Diseases. Recurrent topics in Sara Brett's work include Monoclonal and Polyclonal Antibodies Research (22 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (15 papers). Sara Brett is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (22 papers), T-cell and B-cell Immunology (19 papers) and Immunotherapy and Immune Responses (15 papers). Sara Brett collaborates with scholars based in United Kingdom, United States and France. Sara Brett's co-authors include Lindy L. Thomsen, Alfonso Martin‐Fontecha, Martin Lipp, Craig Gérard, Antonio Lanzavecchia, Federica Sallusto, J P Tite, Jay A. Berzofsky, Kemp B. Cease and Juraj Iványi and has published in prestigious journals such as Science, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Sara Brett

64 papers receiving 2.8k citations

Hit Papers

Induced recruitment of NK cells to lymph nodes provides I... 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sara Brett United Kingdom 27 1.9k 699 529 501 476 65 2.9k
Masahiko Sugita Japan 37 3.7k 1.9× 664 0.9× 387 0.7× 612 1.2× 472 1.0× 101 4.7k
Mandvi Bharadwaj Australia 28 2.0k 1.0× 1.1k 1.5× 359 0.7× 466 0.9× 716 1.5× 52 3.6k
Vineeta Bal India 32 1.8k 0.9× 422 0.6× 402 0.8× 792 1.6× 230 0.5× 96 3.0k
Miroslav Malkovský United States 34 2.8k 1.5× 575 0.8× 460 0.9× 695 1.4× 666 1.4× 115 3.9k
Fabrizio Poccia Italy 37 3.1k 1.6× 830 1.2× 541 1.0× 532 1.1× 677 1.4× 92 4.3k
Alfredo Salerno Italy 35 2.8k 1.5× 768 1.1× 798 1.5× 480 1.0× 1.2k 2.5× 90 4.2k
J Y Djeu United States 33 2.1k 1.1× 626 0.9× 484 0.9× 831 1.7× 674 1.4× 63 3.6k
Gersende Caron France 28 2.2k 1.1× 708 1.0× 592 1.1× 1.1k 2.1× 542 1.1× 70 4.3k
Vernon C. Maino United States 34 3.4k 1.8× 1.3k 1.9× 768 1.5× 962 1.9× 656 1.4× 64 5.0k
Hans Reiser United States 37 2.7k 1.4× 803 1.1× 278 0.5× 719 1.4× 513 1.1× 62 4.1k

Countries citing papers authored by Sara Brett

Since Specialization
Citations

This map shows the geographic impact of Sara Brett'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 Sara Brett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Brett more than expected).

Fields of papers citing papers by Sara Brett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Brett. 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 Sara Brett. The network helps show where Sara Brett may publish in the future.

Co-authorship network of co-authors of Sara Brett

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Brett. A scholar is included among the top collaborators of Sara Brett 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 Sara Brett. Sara Brett 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.
Massarelli, Erminia, Vincent K. Lam, Edwin R. Parra, et al.. (2019). High OX-40 expression in the tumor immune infiltrate is a favorable prognostic factor of overall survival in non-small cell lung cancer. Journal for ImmunoTherapy of Cancer. 7(1). 351–351. 41 indexed citations
3.
Brett, Sara, Sapna Yadavilli, Laura Seestaller‐Wehr, et al.. (2018). Preclinical evaluation of a non-depleting, first-in-class humanized IgG4 agonist anti-ICOS antibody. Annals of Oncology. 29. viii652–viii653. 1 indexed citations
5.
Dai, Ming–Shen, Tsu-Yi Chao, Patrick Baril, et al.. (2009). Development of an Escherichia coli Expressing Listeriolysin-O Vaccine Against Wilms Tumor Gene 1-expressing Tumors. Journal of Immunotherapy. 32(8). 845–855. 10 indexed citations
6.
Martin‐Fontecha, Alfonso, Lindy L. Thomsen, Sara Brett, et al.. (2004). Induced recruitment of NK cells to lymph nodes provides IFN-γ for TH1 priming. Nature Immunology. 5(12). 1260–1265. 1069 indexed citations breakdown →
7.
Björkdahl, Olle, Sara Brett, Maria Daly, et al.. (2003). Characterization of CC‐chemokine receptor 7 expression on murine T cells in lymphoid tissues. Immunology. 110(2). 170–179. 49 indexed citations
9.
Neyrolles, Olivier, Keith G. Gould, Sara Brett, et al.. (2001). Lipoprotein Access to MHC Class I Presentation During Infection of Murine Macrophages with Live Mycobacteria. The Journal of Immunology. 166(1). 447–457. 82 indexed citations
10.
Beverley, Peter C. L., et al.. (1999). Expression of L-Selectin on Th1 Cells Is Regulated by IL-12. The Journal of Immunology. 163(3). 1214–1221. 35 indexed citations
11.
Murphy, Geraldine A., et al.. (1997). Quantitative but Not Qualitative Variation in MHC Class II Alters CD4 Interaction and Influences T Cell Repertoire Formation. Cellular Immunology. 177(1). 49–61. 3 indexed citations
12.
Brett, Sara, Wendy C. Rowan, Matthew Smith, Mary J. Bartholomew, & J P Tite. (1997). Differential functional effects of a humanized anti‐CD4 antibody on resting and activated human T cells. Immunology. 91(3). 346–353. 12 indexed citations
13.
Brett, Sara, G. Andrew Baxter, Helen J. Cooper, et al.. (1996). Emergence of CD52 , glycosyiphosphatidylinositol-anchor deficient lymphocytes in rheumatoid arthritis patients following Campath-1H treatment. International Immunology. 8(3). 325–334. 27 indexed citations
14.
Rowan, Wendy C., G Hale, J P Tite, & Sara Brett. (1995). Cross-linking of the CAMPATH-1 antigen (CD52) triggers activation of normal human T lymphocytes. International Immunology. 7(1). 69–77. 74 indexed citations
15.
Brett, Sara, А. В. Мазуров, Ian G. Charles, & J P Tite. (1993). The invasin protein of Yersinia spp. provides co‐stimulatory activity to human T cells through interaction with β integrins. European Journal of Immunology. 23(7). 1608–1614. 24 indexed citations
16.
Severn, Alison, Damo Xu, Jacqueline Doyle, et al.. (1993). Pre‐exposure of murine macrophages to lipopolysaccharide inhibits the induction of nitric oxide synthase and reduces leishmanicidal activity. European Journal of Immunology. 23(7). 1711–1714. 59 indexed citations
18.
Harris, David P., H. M. Vordermeier, Eva Román, et al.. (1991). Murine T cell-stimulatory peptides from the 19-kDa antigen of Mycobacterium tuberculosis. Epitope-restricted homology with the 28-kDa protein of Mycobacterium leprae. The Journal of Immunology. 147(8). 2706–2712. 40 indexed citations
19.
Brett, Sara, Jonathan R. Lamb, Josephine H. Cox, et al.. (1989). Differential pattern of T cell recognition of the 65‐kDa mycobacterial antigen following immunization with the whole protein or peptides. European Journal of Immunology. 19(7). 1303–1310. 40 indexed citations
20.
Berzofsky, Jay A., et al.. (1988). Antigen Processing for Presentation to T Lymphocytes: Function, Mechanisms, and Implications for the T‐Cell Repertoire. Immunological Reviews. 106(1). 5–31. 95 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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