Kathleen Cheung

756 total citations
18 papers, 390 citations indexed

About

Kathleen Cheung is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Kathleen Cheung has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Rheumatology and 10 papers in Cancer Research. Recurrent topics in Kathleen Cheung's work include Osteoarthritis Treatment and Mechanisms (11 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer-related gene regulation (4 papers). Kathleen Cheung is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (11 papers), Cancer-related molecular mechanisms research (9 papers) and Cancer-related gene regulation (4 papers). Kathleen Cheung collaborates with scholars based in United Kingdom, United States and Germany. Kathleen Cheung's co-authors include David A. Young, Louise N. Reynard, Matt J. Barter, Sarah J. Rice, John Loughlin, Andrew Skelton, Yaobo Xu, Ian M. Clark, Yongxiang Fang and Mandy J. Peffers and has published in prestigious journals such as Development, Scientific Reports and The FASEB Journal.

In The Last Decade

Kathleen Cheung

18 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kathleen Cheung United Kingdom 11 202 184 180 47 46 18 390
Kelvin Sin Chi Cheung United Kingdom 6 215 1.1× 277 1.5× 200 1.1× 45 1.0× 59 1.3× 9 445
Michael D. Rushton United Kingdom 10 238 1.2× 200 1.1× 159 0.9× 63 1.3× 32 0.7× 14 391
Shauni Loopmans Belgium 6 207 1.0× 131 0.7× 158 0.9× 36 0.8× 31 0.7× 9 387
Zelda Plener Belgium 5 181 0.9× 282 1.5× 115 0.6× 40 0.9× 48 1.0× 7 410
Xingzhao Wen China 8 172 0.9× 174 0.9× 124 0.7× 27 0.6× 76 1.7× 19 331
Matthew J. Barter United Kingdom 7 257 1.3× 307 1.7× 340 1.9× 32 0.7× 34 0.7× 10 488
S.H. Madsen Denmark 8 105 0.5× 237 1.3× 87 0.5× 60 1.3× 60 1.3× 11 388
Nathalie Amiable Canada 9 206 1.0× 168 0.9× 65 0.4× 94 2.0× 37 0.8× 14 417
Kendal McCulloch United Kingdom 4 131 0.6× 186 1.0× 82 0.5× 37 0.8× 26 0.6× 8 305
Margo Tuerlings Netherlands 10 117 0.6× 167 0.9× 90 0.5× 52 1.1× 34 0.7× 22 273

Countries citing papers authored by Kathleen Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathleen Cheung

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

All Works

18 of 18 papers shown
1.
Hysenaj, Gerald, Caroline Dalgliesh, Kathleen Cheung, et al.. (2023). An anciently diverged family of RNA binding proteins maintain correct splicing of a class of ultra-long exons through cryptic splice site repression. eLife. 12. 1 indexed citations
2.
Scott, Emma, et al.. (2022). Pro-Survival Factor EDEM3 Confers Therapy Resistance in Prostate Cancer. International Journal of Molecular Sciences. 23(15). 8184–8184. 7 indexed citations
3.
Wilkinson, D., Helen L. Wright, Hua Lin, et al.. (2021). Matrix metalloproteinase‐13 is fully activated by neutrophil elastase and inactivates its serpin inhibitor, alpha‐1 antitrypsin: Implications for osteoarthritis. FEBS Journal. 289(1). 121–139. 36 indexed citations
4.
Cheung, Kathleen, Jamie Soul, Hua Lin, et al.. (2021). Increased hippocampal excitability in miR-324-null mice. Scientific Reports. 11(1). 10452–10452. 6 indexed citations
5.
Barter, Matt J., et al.. (2020). Dynamic chromatin accessibility landscape changes following interleukin-1 stimulation. Epigenetics. 16(1). 106–119. 9 indexed citations
6.
Barter, Matt J., Catherine Bui, Kathleen Cheung, et al.. (2020). DNA hypomethylation during MSC chondrogenesis occurs predominantly at enhancer regions. Scientific Reports. 10(1). 1169–1169. 20 indexed citations
7.
Boer, Cindy G., Michelle S. Yau, Sarah J. Rice, et al.. (2020). Genome-wide association of phenotypes based on clustering patterns of hand osteoarthritis identify WNT9A as novel osteoarthritis gene. Annals of the Rheumatic Diseases. 80(3). 367–375. 33 indexed citations
8.
Woods, Steven Paul, Kathleen Cheung, Jamie Soul, et al.. (2020). microRNA-seq of cartilage reveals an overabundance of miR-140-3p which contains functional isomiRs. RNA. 26(11). 1575–1588. 17 indexed citations
9.
Cheung, Kathleen, et al.. (2020). Multi-tissue epigenetic analysis of the osteoarthritis susceptibility locus mapping to the plectin gene PLEC. Osteoarthritis and Cartilage. 28(11). 1448–1458. 26 indexed citations
10.
Cheung, Kathleen, et al.. (2020). Histone ChIP‐Seq identifies differential enhancer usage during chondrogenesis as critical for defining cell‐type specificity. The FASEB Journal. 34(4). 5317–5331. 15 indexed citations
11.
Rice, Sarah J., Kathleen Cheung, Louise N. Reynard, & John Loughlin. (2019). Identification and analysis of novel methylation quantitative trait loci (mQTLs) in osteoarthritis. Osteoarthritis and Cartilage. 27. S60–S60. 1 indexed citations
12.
Rice, Sarah J., Kathleen Cheung, Louise N. Reynard, & John Loughlin. (2019). Discovery and analysis of methylation quantitative trait loci (mQTLs) mapping to novel osteoarthritis genetic risk signals. Osteoarthritis and Cartilage. 27(10). 1545–1556. 44 indexed citations
13.
Cheung, Kathleen, Yaobo Xu, Andrew Skelton, et al.. (2019). Identification of long non-coding RNAs expressed in knee and hip osteoarthritic cartilage. Osteoarthritis and Cartilage. 27(4). 694–702. 35 indexed citations
14.
Cheung, Kathleen, et al.. (2019). Correlation of Infinium HumanMethylation450K and MethylationEPIC BeadChip arrays in cartilage. Epigenetics. 15(6-7). 594–603. 14 indexed citations
15.
Barter, Matt J., Kathleen Cheung, Andrew Skelton, et al.. (2018). Identification and characterisation of long non-coding RNAS expressed and dysregulated in knee and hip osteoarthritic cartilage. Osteoarthritis and Cartilage. 26. S28–S28. 2 indexed citations
16.
Barter, Matt J., Rodolfo Gómez, Kathleen Cheung, et al.. (2017). The long non-coding RNA ROCR contributes to SOX9 expression and chondrogenic differentiation of human mesenchymal stem cells. Development. 144(24). 4510–4521. 64 indexed citations
17.
Peffers, Mandy J., Yongxiang Fang, Kathleen Cheung, et al.. (2015). Transcriptome analysis of ageing in uninjured human Achilles tendon. Arthritis Research & Therapy. 17(1). 33–33. 57 indexed citations
18.
Yamada, Norikazu, Kathleen Cheung, Nicole Clarke, et al.. (2006). Does epigenetics play a role in the pathology of osteoarthritis?. ePrints Soton (University of Southampton). 3 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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