Katy A. Lloyd

537 total citations · 1 hit paper
11 papers, 266 citations indexed

About

Katy A. Lloyd is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Oncology. According to data from OpenAlex, Katy A. Lloyd has authored 11 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Immunology and 6 papers in Oncology. Recurrent topics in Katy A. Lloyd's work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (3 papers). Katy A. Lloyd is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (4 papers) and T-cell and B-cell Immunology (3 papers). Katy A. Lloyd collaborates with scholars based in United States, Netherlands and United Kingdom. Katy A. Lloyd's co-authors include Sjoerd H. van der Burg, Janine Schuurman, Caroline Grönwall, Thorbald van Hall, Marjolein Sluijter, Vitalijs Ovcinnikovs, Jim Middelburg, Karin Lundberg, Lars Klareskog and Noel F.C.C. de Miranda and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cancer Cell.

In The Last Decade

Katy A. Lloyd

11 papers receiving 262 citations

Hit Papers

Immunotherapy-activated T cells recruit and skew late-sta... 2024 2026 2025 2024 20 40 60

Peers

Katy A. Lloyd
Kevin Schifferli United States
Annie Borch Denmark
Rika Kato Japan
Alexander A. Girgis United States
Zoe McLaren United Kingdom
Thijs T. Wind Netherlands
Lucas Blanchard United States
Kevin Schifferli United States
Katy A. Lloyd
Citations per year, relative to Katy A. Lloyd Katy A. Lloyd (= 1×) peers Kevin Schifferli

Countries citing papers authored by Katy A. Lloyd

Since Specialization
Citations

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

Fields of papers citing papers by Katy A. Lloyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy A. Lloyd. 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 Katy A. Lloyd. The network helps show where Katy A. Lloyd may publish in the future.

Co-authorship network of co-authors of Katy A. Lloyd

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

All Works

11 of 11 papers shown
1.
Middelburg, Jim, Marjolein Sluijter, Katy A. Lloyd, et al.. (2025). Cancer vaccines compensate for the insufficient induction of protective tumor-specific immunity of CD3 bispecific antibody therapy. Journal for ImmunoTherapy of Cancer. 13(1). e010331–e010331. 2 indexed citations
2.
Lloyd, Katy A., Jim Middelburg, Vitalijs Ovcinnikovs, et al.. (2025). Improving CD3 bispecific antibody therapy in solid tumors using combination strategies. Frontiers in Oncology. 15. 1548446–1548446. 1 indexed citations
3.
Middelburg, Jim, Marjolein Sluijter, Katy A. Lloyd, et al.. (2024). T-cell stimulating vaccines empower CD3 bispecific antibody therapy in solid tumors. Nature Communications. 15(1). 48–48. 17 indexed citations
4.
Elsas, Marit J van, Jim Middelburg, Jessica Roelands, et al.. (2024). Immunotherapy-activated T cells recruit and skew late-stage activated M1-like macrophages that are critical for therapeutic efficacy. Cancer Cell. 42(6). 1032–1050.e10. 72 indexed citations breakdown →
5.
Wang, Yan, Katy A. Lloyd, Ioannis N. Melas, et al.. (2019). Rheumatoid arthritis patients display B-cell dysregulation already in the naïve repertoire consistent with defects in B-cell tolerance. Scientific Reports. 9(1). 19995–19995. 50 indexed citations
6.
Lloyd, Katy A., Johanna Stéen, Khaled Amara, et al.. (2018). Variable domain N‐linked glycosylation and negative surface charge are key features of monoclonal ACPA: Implications for B‐cell selection. European Journal of Immunology. 48(6). 1030–1045. 34 indexed citations
7.
Lloyd, Katy A., Jiabin Wang, Britta C. Urban, Daniel M. Czajkowsky, & Richard J. Pleass. (2017). Glycan-independent binding and internalization of human IgM to FCMR, its cognate cellular receptor. Scientific Reports. 7(1). 42989–42989. 16 indexed citations
8.
Lloyd, Katy A., Johanna Stéen, Daniel L. Mueller, et al.. (2017). 08.19 Variable domain n-linked glycosylation is a key feature of monoclonal acpa-igg. Annals of the Rheumatic Diseases. 76. A82–A83. 1 indexed citations
9.
Grönwall, Caroline, Robert M. Clancy, Katy A. Lloyd, et al.. (2016). Modulation of natural IgM autoantibodies to oxidative stress-related neo-epitopes on apoptotic cells in newborns of mothers with anti-Ro autoimmunity. Journal of Autoimmunity. 73. 30–41. 7 indexed citations
10.
Czajkowsky, Daniel M., Jan Terje Andersen, Anja Fuchs, et al.. (2015). Developing the IVIG biomimetic, Hexa-Fc, for drug and vaccine applications. Scientific Reports. 5(1). 9526–9526. 29 indexed citations
11.
Makinde, Julia, Mathew Clement, David K. Cole, et al.. (2012). T-cell Receptor-optimized Peptide Skewing of the T-cell Repertoire Can Enhance Antigen Targeting. Journal of Biological Chemistry. 287(44). 37269–37281. 37 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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