Kate Liddiard

1.4k total citations
17 papers, 994 citations indexed

About

Kate Liddiard is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Kate Liddiard has authored 17 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Physiology. Recurrent topics in Kate Liddiard's work include CRISPR and Genetic Engineering (5 papers), DNA Repair Mechanisms (5 papers) and Immune cells in cancer (5 papers). Kate Liddiard is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), DNA Repair Mechanisms (5 papers) and Immune cells in cancer (5 papers). Kate Liddiard collaborates with scholars based in United Kingdom, United States and France. Kate Liddiard's co-authors include David R. Greaves, Philip R. Taylor, John S. Welch, Christopher K. Glass, Laure Escoubet‐Lozach, David B. Sykes, Marcela Rosas, Marella de Bruijn, Duncan M. Baird and Eric A. Hendrickson and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Kate Liddiard

17 papers receiving 979 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kate Liddiard United Kingdom 14 456 443 172 166 100 17 994
Helena Païdassi France 16 681 1.5× 382 0.9× 125 0.7× 114 0.7× 103 1.0× 25 1.1k
Makoto Bonkobara Japan 19 471 1.0× 353 0.8× 126 0.7× 85 0.5× 90 0.9× 85 1.3k
Jonathan G. Lieber United States 11 469 1.0× 477 1.1× 144 0.8× 114 0.7× 155 1.6× 12 1.1k
Sukhwinder Singh United States 18 901 2.0× 380 0.9× 125 0.7× 228 1.4× 66 0.7× 33 1.4k
Loretta Pappan United States 11 295 0.6× 397 0.9× 176 1.0× 99 0.6× 50 0.5× 12 1.1k
Bruce Motyka Canada 16 646 1.4× 516 1.2× 153 0.9× 68 0.4× 67 0.7× 43 1.3k
Elisa Ravon France 13 520 1.1× 195 0.4× 168 1.0× 188 1.1× 69 0.7× 18 998
Huie Jing United States 18 1.2k 2.6× 255 0.6× 185 1.1× 118 0.7× 74 0.7× 21 1.7k
Diana Rodijk‐Olthuis Netherlands 12 529 1.2× 335 0.8× 94 0.5× 147 0.9× 98 1.0× 24 1.2k
Thomas Barthlott United Kingdom 16 1.2k 2.7× 245 0.6× 218 1.3× 91 0.5× 74 0.7× 30 1.6k

Countries citing papers authored by Kate Liddiard

Since Specialization
Citations

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

Fields of papers citing papers by Kate Liddiard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Liddiard

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

All Works

17 of 17 papers shown
1.
Liddiard, Kate, et al.. (2022). POLQ suppresses genome instability and alterations in DNA repeat tract lengths. NAR Cancer. 4(3). zcac020–zcac020. 7 indexed citations
2.
Liddiard, Kate, Julia W. Grimstead, Kez Cleal, Anna Evans, & Duncan M. Baird. (2021). Tracking telomere fusions through crisis reveals conflict between DNA transcription and the DNA damage response. NAR Cancer. 3(1). zcaa044–zcaa044. 5 indexed citations
3.
Liddiard, Kate, Brian L. Ruis, Yinan Kan, et al.. (2018). DNA Ligase 1 is an essential mediator of sister chromatid telomere fusions in G2 cell cycle phase. Nucleic Acids Research. 47(5). 2402–2424. 22 indexed citations
4.
Liddiard, Kate, Brian L. Ruis, Adam Harvey, et al.. (2016). Sister chromatid telomere fusions, but not NHEJ-mediated inter-chromosomal telomere fusions, occur independently of DNA ligases 3 and 4. Genome Research. 26(5). 588–600. 33 indexed citations
5.
Liddiard, Kate & Philip R. Taylor. (2015). Understanding Local Macrophage Phenotypes In Disease: Shape-shifting macrophages. Nature Medicine. 21(2). 119–120. 45 indexed citations
6.
Jones, Rhiannon E., Sehyun Oh, Julia W. Grimstead, et al.. (2014). Escape from Telomere-Driven Crisis Is DNA Ligase III Dependent. Cell Reports. 8(4). 1063–1076. 68 indexed citations
7.
Morgan, Gareth, Lorna Pearn, Kate Liddiard, et al.. (2012). γ-Catenin is overexpressed in acute myeloid leukemia and promotes the stabilization and nuclear localization of β-catenin. Leukemia. 27(2). 336–343. 45 indexed citations
8.
Liddiard, Kate, Marcela Rosas, Luke C. Davies, Simon A. Jones, & Philip R. Taylor. (2011). Macrophage heterogeneity and acute inflammation. European Journal of Immunology. 41(9). 2503–2508. 65 indexed citations
9.
McDonald, Jacqueline U., Andrea Cortini, Marcela Rosas, et al.. (2011). In vivo functional analysis and genetic modification of in vitro ‐derived mouse neutrophils. The FASEB Journal. 25(6). 1972–1982. 31 indexed citations
10.
Morgan, Gareth, Lorna Pearn, Kate Liddiard, et al.. (2010). Distinct Regulation of β- and γ-Catenin throughout Hematopoietic Development Contrasts with Their Cooperative Roles In Acute Myeloid Leukemia.. Blood. 116(21). 1573–1573. 1 indexed citations
11.
Liddiard, Kate, Robert K. Hills, Alan K. Burnett, Richard L. Darley, & Alex Tonks. (2009). OGG1 is a novel prognostic indicator in acute myeloid leukaemia. Oncogene. 29(13). 2005–2012. 33 indexed citations
12.
Bee, Thomas, Kate Liddiard, Gemma Swiers, et al.. (2009). Alternative Runx1 promoter usage in mouse developmental hematopoiesis. Blood Cells Molecules and Diseases. 43(1). 35–42. 52 indexed citations
13.
Rosas, Marcela, Kate Liddiard, Inês Faro‐Trindade, et al.. (2008). The Induction of Inflammation by Dectin-1 In Vivo Is Dependent on Myeloid Cell Programming and the Progression of Phagocytosis. The Journal of Immunology. 181(5). 3549–3557. 103 indexed citations
14.
Liddiard, Kate, John S. Welch, Jean Lozach, et al.. (2006). Interleukin-4 induction of the CC chemokine TARC (CCL17) in murine macrophages is mediated by multiple STAT6 sites in the TARC gene promoter. BMC Molecular Biology. 7(1). 45–45. 48 indexed citations
15.
Jaffredo, Thierry, Wade Nottingham, Kate Liddiard, et al.. (2005). From hemangioblast to hematopoietic stem cell: An endothelial connection?. Experimental Hematology. 33(9). 1029–1040. 94 indexed citations
16.
Welch, John S., Laure Escoubet‐Lozach, David B. Sykes, et al.. (2002). TH2 Cytokines and Allergic Challenge Induce Ym1 Expression in Macrophages by a STAT6-dependent Mechanism. Journal of Biological Chemistry. 277(45). 42821–42829. 190 indexed citations
17.
Greaves, David R., Tomi Häkkinen, Andrew Lucas, et al.. (2001). Linked Chromosome 16q13 Chemokines, Macrophage-Derived Chemokine, Fractalkine, and Thymus- and Activation-Regulated Chemokine, Are Expressed in Human Atherosclerotic Lesions. Arteriosclerosis Thrombosis and Vascular Biology. 21(6). 923–929. 152 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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