Lauren Giuffrida

2.1k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Lauren Giuffrida is a scholar working on Immunology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lauren Giuffrida has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Oncology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lauren Giuffrida's work include CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Lauren Giuffrida is often cited by papers focused on CAR-T cell therapy research (6 papers), Immune Cell Function and Interaction (6 papers) and Immunotherapy and Immune Responses (4 papers). Lauren Giuffrida collaborates with scholars based in Australia and Canada. Lauren Giuffrida's co-authors include Phillip K. Darcy, Melissa A. Henderson, Sherly Mardiana, Paul A. Beavis, Kevin Sek, Imran G. House, Junyun Lai, Emma V. Petley, Sherene Loi and Kirsten L. Todd and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lauren Giuffrida

13 papers receiving 1.3k citations

Hit Papers

Macrophage-Derived CXCL9 and CXCL10 Are Required for Anti... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade
    2019 412 citations Imran G. House, Peter Savas et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren Giuffrida Australia 12 893 705 379 213 172 14 1.3k
Ryan Cross Australia 14 815 0.9× 436 0.6× 410 1.1× 291 1.4× 173 1.0× 31 1.2k
Lorinda Soma United States 14 947 1.1× 369 0.5× 374 1.0× 241 1.1× 275 1.6× 43 1.4k
Leah Alabanza United States 10 481 0.5× 211 0.3× 244 0.6× 178 0.8× 109 0.6× 16 730
Scott H. Olejniczak United States 16 439 0.5× 285 0.4× 517 1.4× 62 0.3× 64 0.4× 41 1.2k
Sima Patel United States 6 867 1.0× 1.3k 1.9× 1.0k 2.7× 144 0.7× 85 0.5× 8 2.4k
Katarzyna C. Pituch United States 13 414 0.5× 597 0.8× 328 0.9× 138 0.6× 63 0.4× 16 1.1k
Ekaterina Friebel Switzerland 8 358 0.4× 594 0.8× 272 0.7× 110 0.5× 69 0.4× 11 987
Susobhan Sarkar Canada 19 381 0.4× 564 0.8× 409 1.1× 109 0.5× 45 0.3× 29 1.3k
Melissa Vrohlings Switzerland 6 452 0.5× 800 1.1× 268 0.7× 82 0.4× 86 0.5× 11 1.2k
Pedro C. Silberman United States 5 195 0.2× 394 0.6× 429 1.1× 62 0.3× 70 0.4× 7 978

Countries citing papers authored by Lauren Giuffrida

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Giuffrida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Giuffrida

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Giuffrida. A scholar is included among the top collaborators of Lauren Giuffrida 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 Lauren Giuffrida. Lauren Giuffrida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Mills, Jane K., Melissa A. Henderson, Lauren Giuffrida, et al.. (2021). Generating CAR T cells from tumor-infiltrating lymphocytes. SHILAP Revista de lepidopterología. 9. 955837343–955837343. 11 indexed citations
2.
Giuffrida, Lauren, Kevin Sek, Melissa A. Henderson, et al.. (2021). CRISPR/Cas9 mediated deletion of the adenosine A2A receptor enhances CAR T cell efficacy. Nature Communications. 12(1). 3236–3236. 150 indexed citations
3.
Giuffrida, Lauren, Kevin Sek, Melissa A. Henderson, et al.. (2020). IL-15 Preconditioning Augments CAR T Cell Responses to Checkpoint Blockade for Improved Treatment of Solid Tumors. Molecular Therapy. 28(11). 2379–2393. 74 indexed citations
4.
Lai, Junyun, Sherly Mardiana, Imran G. House, et al.. (2020). Adoptive cellular therapy with T cells expressing the dendritic cell growth factor Flt3L drives epitope spreading and antitumor immunity. Nature Immunology. 21(8). 914–926. 159 indexed citations
5.
House, Imran G., Peter Savas, Junyun Lai, et al.. (2019). Macrophage-Derived CXCL9 and CXCL10 Are Required for Antitumor Immune Responses Following Immune Checkpoint Blockade. Clinical Cancer Research. 26(2). 487–504. 412 indexed citations breakdown →
6.
Beavis, Paul A., Melissa A. Henderson, Lauren Giuffrida, et al.. (2018). Dual PD-1 and CTLA-4 Checkpoint Blockade Promotes Antitumor Immune Responses through CD4+Foxp3− Cell–Mediated Modulation of CD103+ Dendritic Cells. Cancer Immunology Research. 6(9). 1069–1081. 51 indexed citations
7.
Mardiana, Sherly, Liza B. John, Melissa A. Henderson, et al.. (2017). A Multifunctional Role for Adjuvant Anti-4-1BB Therapy in Augmenting Antitumor Response by Chimeric Antigen Receptor T Cells. Cancer Research. 77(6). 1296–1309. 63 indexed citations
8.
Beavis, Paul A., Melissa A. Henderson, Lauren Giuffrida, et al.. (2017). Targeting the adenosine 2A receptor enhances chimeric antigen receptor T cell efficacy. Journal of Clinical Investigation. 127(3). 929–941. 259 indexed citations
9.
Gonsalvez, David G., Rhiannon J. Wood, Lauren Giuffrida, et al.. (2017). A Functional and Neuropathological Testing Paradigm Reveals New Disability-Based Parameters and Histological Features for P0180–190-Induced Experimental Autoimmune Neuritis in C57BL/6 Mice. Journal of Neuropathology & Experimental Neurology. 76(2). nlw110–nlw110. 5 indexed citations
10.
Binder, Michele D., Andrew Fox, Daniel Merlo, et al.. (2016). Common and Low Frequency Variants in MERTK Are Independently Associated with Multiple Sclerosis Susceptibility with Discordant Association Dependent upon HLA-DRB1*15:01 Status. PLoS Genetics. 12(3). e1005853–e1005853. 49 indexed citations
11.
12.
Peckham, Haley, Lauren Giuffrida, Rhiannon J. Wood, et al.. (2015). Fyn is an intermediate kinase that BDNF utilizes to promote oligodendrocyte myelination. Glia. 64(2). 255–269. 43 indexed citations
13.
Giuffrida, Lauren, Melissa Gresle, Jodi Haartsen, et al.. (2015). Association of plasma levels of Protein S with disease severity in multiple sclerosis. Multiple Sclerosis Journal - Experimental Translational and Clinical. 1. 2450016500–2450016500. 11 indexed citations
14.
Wong, Agnes W., Lauren Giuffrida, Rhiannon J. Wood, et al.. (2014). TDP6, a brain-derived neurotrophic factor-based trkB peptide mimetic, promotes oligodendrocyte myelination. Molecular and Cellular Neuroscience. 63. 132–140. 29 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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