Kathryn Gilroy

2.2k total citations
21 papers, 456 citations indexed

About

Kathryn Gilroy is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Kathryn Gilroy has authored 21 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Immunology. Recurrent topics in Kathryn Gilroy's work include Cancer therapeutics and mechanisms (5 papers), Virus-based gene therapy research (4 papers) and Acute Myeloid Leukemia Research (3 papers). Kathryn Gilroy is often cited by papers focused on Cancer therapeutics and mechanisms (5 papers), Virus-based gene therapy research (4 papers) and Acute Myeloid Leukemia Research (3 papers). Kathryn Gilroy collaborates with scholars based in United Kingdom, United States and Netherlands. Kathryn Gilroy's co-authors include Caroline A. Austin, Colin Nixon, William Clark, Peter D. Adams, Anthony B. Lagnado, Nirmalya Dasgupta, Thomas G. Bird, Diana Jurk, Karl N. Miller and Xue Lei and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

Kathryn Gilroy

20 papers receiving 449 citations

Peers

Kathryn Gilroy
Romina Armando Argentina
Isabelle Otter Switzerland
G. Gobe Australia
Sudharshan Ravi United States
John G. Logan United Kingdom
Mehmet Yabas Australia
Romina Armando Argentina
Kathryn Gilroy
Citations per year, relative to Kathryn Gilroy Kathryn Gilroy (= 1×) peers Romina Armando

Countries citing papers authored by Kathryn Gilroy

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn Gilroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn Gilroy

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Gilroy. A scholar is included among the top collaborators of Kathryn Gilroy 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 Kathryn Gilroy. Kathryn Gilroy 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
1.
Lee, Colin Y.C., Isaac Dean, Nathan Richoz, et al.. (2025). In Vivo Labeling Resolves Distinct Temporal, Spatial, and Functional Properties of Tumor Macrophages and Identifies Subset-Specific Effects of PD-L1 Blockade. Cancer Immunology Research. 13(9). 1453–1470.
2.
Najumudeen, Arafath K., Sigrid K. Fey, Catriona A. Ford, et al.. (2024). KRAS allelic imbalance drives tumour initiation yet suppresses metastasis in colorectal cancer in vivo. Nature Communications. 15(1). 100–100. 8 indexed citations
3.
Malviya, Gaurav, Tamsin R.M. Lannagan, Emma Johnson, et al.. (2024). Noninvasive Stratification of Colon Cancer by Multiplex PET Imaging. Clinical Cancer Research. 30(8). 1518–1529. 2 indexed citations
4.
Bullock, Nicholas, Kathryn Gilroy, Radhika A. Patel, et al.. (2024). Development and Characterisation of a New Patient-Derived Xenograft Model of AR-Negative Metastatic Castration-Resistant Prostate Cancer. Cells. 13(8). 673–673. 1 indexed citations
5.
Fey, Sigrid K., Arafath K. Najumudeen, Catriona A. Ford, et al.. (2024). KRAS Loss of Heterozygosity Promotes MAPK-Dependent Pancreatic Ductal Adenocarcinoma Initiation and Induces Therapeutic Sensitivity to MEK Inhibition. Cancer Research. 85(2). 251–262. 4 indexed citations
6.
Amirkhah, Raheleh, James G. Jackson, Tamsin R.M. Lannagan, et al.. (2022). Molecular Subtyping Resource: a user-friendly tool for rapid biological discovery from transcriptional data. Disease Models & Mechanisms. 15(3). 3 indexed citations
7.
Vizioli, Maria Grazia, Tianhui Liu, Karl N. Miller, et al.. (2020). Mitochondria-to-nucleus retrograde signaling drives formation of cytoplasmic chromatin and inflammation in senescence. Genes & Development. 34(5-6). 428–445. 233 indexed citations
8.
Hay, Jodie, Kathryn Gilroy, Camille Huser, et al.. (2019). Collaboration of MYC and RUNX2 in lymphoma simulates T‐cell receptor signaling and attenuates p53 pathway activity. Journal of Cellular Biochemistry. 120(10). 18332–18345. 6 indexed citations
9.
Achuthan, Vasudevan, Kathryn Gilroy, Gillian Borland, et al.. (2019). Disrupting MLV integrase:BET protein interaction biases integration into quiescent chromatin and delays but does not eliminate tumor activation in a MYC/Runx2 mouse model. PLoS Pathogens. 15(12). e1008154–e1008154. 8 indexed citations
10.
Neil, James C., Kathryn Gilroy, Gillian Borland, et al.. (2017). The RUNX Genes as Conditional Oncogenes: Insights from Retroviral Targeting and Mouse Models. Advances in experimental medicine and biology. 962. 247–264. 13 indexed citations
11.
Anderson, Gail S., Nancy MacKay, Kathryn Gilroy, et al.. (2017). RUNX‐mediated growth arrest and senescence are attenuated by diverse mechanisms in cells expressing RUNX1 fusion oncoproteins. Journal of Cellular Biochemistry. 119(3). 2750–2762. 7 indexed citations
12.
Gilroy, Kathryn, Anne Terry, Jeroen de Ridder, et al.. (2016). Gamma-Retrovirus Integration Marks Cell Type-Specific Cancer Genes: A Novel Profiling Tool in Cancer Genomics. PLoS ONE. 11(4). e0154070–e0154070. 6 indexed citations
13.
Borland, Gillian, Anna Kilbey, Jodie Hay, et al.. (2016). Addiction toRunx1is partially attenuated by loss of p53 in the Eμ-Myc lymphoma model. Oncotarget. 7(17). 22973–22987. 6 indexed citations
14.
Huser, Camille, Kathryn Gilroy, Jeroen de Ridder, et al.. (2014). Insertional Mutagenesis and Deep Profiling Reveals Gene Hierarchies and a Myc/p53-Dependent Bottleneck in Lymphomagenesis. PLoS Genetics. 10(2). e1004167–e1004167. 15 indexed citations
15.
Gilroy, Kathryn & Caroline A. Austin. (2011). The Impact of the C-Terminal Domain on the Interaction of Human DNA Topoisomerase II α and β with DNA. PLoS ONE. 6(2). e14693–e14693. 25 indexed citations
16.
Gilroy, Kathryn, Sarah A. Cumming, & Andrew R. Pitt. (2010). A simple, sensitive and selective quantum-dot-based western blot method for the simultaneous detection of multiple targets from cell lysates. Analytical and Bioanalytical Chemistry. 398(1). 547–554. 12 indexed citations
17.
Gilroy, Kathryn, et al.. (2008). The Impact of the Human DNA Topoisomerase II C-Terminal Domain on Activity. PLoS ONE. 3(3). e1754–e1754. 24 indexed citations
18.
Gilroy, Kathryn, Pauline Heslop, Ian G. Cowell, et al.. (2007). Differential Selection of Acridine Resistance Mutations in Human DNA Topoisomerase IIβ Is Dependent on the Acridine Structure. Molecular Pharmacology. 71(4). 1006–1014. 7 indexed citations
19.
López‐Lázaro, Miguel, Elaine Willmore, Andrew G. Jobson, et al.. (2007). Curcumin Induces High Levels of Topoisomerase I− and II−DNA Complexes in K562 Leukemia Cells. Journal of Natural Products. 70(12). 1884–1888. 52 indexed citations
20.
Gilroy, Kathryn. (2006). mAMSA resistant human topoisomerase II  mutation G465D has reduced ATP hydrolysis activity. Nucleic Acids Research. 34(5). 1597–1607. 15 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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