Kate Patterson

1.9k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Kate Patterson is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kate Patterson has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kate Patterson's work include Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers) and Biomedical and Engineering Education (2 papers). Kate Patterson is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers) and Biomedical and Engineering Education (2 papers). Kate Patterson collaborates with scholars based in Australia, United States and United Kingdom. Kate Patterson's co-authors include Philippa M. O’Brien, Roger J. Daly, Tilman Brummer, Susan J. Clark, Wenjia Qu, Clare Stirzaker, Jenny Z. Song, Shalima S. Nair, Aaron L. Statham and David J. Tremethick and has published in prestigious journals such as Science, Oncogene and Biochemical Journal.

In The Last Decade

Kate Patterson

21 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Dual-specificity phosphatases: critical regulators with diverse cellular targets

2009 580 citations Kate Patterson, Tilman Brummer et al. Biochemical Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate Patterson Australia	16	929	234	229	130	100	23	1.4k
Randall P. French United States	18	788 0.8×	129 0.6×	118 0.5×	249 1.9×	117 1.2×	25	1.4k
Seigo Suzuki Japan	22	879 0.9×	124 0.5×	102 0.4×	142 1.1×	72 0.7×	72	1.5k
Nadia Arang United States	15	772 0.8×	93 0.4×	164 0.7×	174 1.3×	216 2.2×	27	1.2k
Kyun Heo South Korea	23	1.1k 1.1×	174 0.7×	186 0.8×	121 0.9×	269 2.7×	49	1.5k
Antonio Campos‐Caro Spain	23	853 0.9×	63 0.3×	428 1.9×	81 0.6×	70 0.7×	54	1.5k
Deborah J. Good United States	16	1.0k 1.1×	380 1.6×	90 0.4×	186 1.4×	192 1.9×	52	1.8k
M. Papathanasiou Greece	7	719 0.8×	176 0.8×	66 0.3×	290 2.2×	143 1.4×	17	1.2k
Isabel Barragán Spain	21	990 1.1×	198 0.8×	74 0.3×	166 1.3×	115 1.1×	49	1.3k
Yong Feng China	22	1.1k 1.2×	196 0.8×	60 0.3×	122 0.9×	307 3.1×	130	1.9k

Countries citing papers authored by Kate Patterson

Since Specialization

Citations

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

Fields of papers citing papers by Kate Patterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Patterson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Levin, Ezra J. T., Ethan Emerson, N. Good, et al.. (2025). Measurement report: An investigation of the spatiotemporal variability in aerosols in the mountainous terrain of the upper Colorado River basin using SAIL-Net. Atmospheric chemistry and physics. 25(4). 2745–2762.

Patterson, Kate, et al.. (2022). Molecular animations in genomics education: designing for whom?. Trends in Genetics. 38(6). 517–520. 1 indexed citations

Terrill, Bronwyn, et al.. (2019). Teachers personalize videos and animations of biochemical processes: results from a professional development workshop. Chemistry Education Research and Practice. 20(4). 772–786. 19 indexed citations

Patterson, Kate, et al.. (2019). Molecular Genomics Education Through Gamified Cell Exploration in Virtual Reality. UNSWorks (University of New South Wales, Sydney, Australia). 1–2. 3 indexed citations

Burnett, Deborah L., David B. Langley, Peter Schofield, et al.. (2018). Germinal center antibody mutation trajectories are determined by rapid self/foreign discrimination. Science. 360(6385). 223–226. 91 indexed citations

Patterson, Kate. (2017). Genome gazing: A 360° stereoscopic animation for Google cardboard. 439–439. 3 indexed citations

Sneyd, James, Kate Patterson, Trevor J. Shuttleworth, et al.. (2012). Modelling the effects of calcium waves and oscillations on saliva secretion. Journal of Theoretical Biology. 305. 45–53. 13 indexed citations

Hulf, Toby, Tennille Sibbritt, Erik D. Wiklund, et al.. (2012). Epigenetic-induced repression of microRNA-205 is associated with MED1 activation and a poorer prognosis in localized prostate cancer. Oncogene. 32(23). 2891–2899. 74 indexed citations

Devaney, James, Clare Stirzaker, Wenjia Qu, et al.. (2011). Epigenetic Deregulation Across Chromosome 2q14.2 Differentiates Normal from Prostate Cancer and Provides a Regional Panel of Novel DNA Methylation Cancer Biomarkers. Cancer Epidemiology Biomarkers & Prevention. 20(1). 148–159. 47 indexed citations

10.

Valdés‐Mora, Fátima, Jenny Z. Song, Aaron L. Statham, et al.. (2011). Acetylation of H2A.Z is a key epigenetic modification associated with gene deregulation and epigenetic remodeling in cancer. Genome Research. 22(2). 307–321. 141 indexed citations

11.

Gloss, Brian, Kate Patterson, Caroline Barton, et al.. (2011). Integrative genome-wide expression and promoter DNA methylation profiling identifies a potential novel panel of ovarian cancer epigenetic biomarkers. Cancer Letters. 318(1). 76–85. 43 indexed citations

12.

Patterson, Kate, et al.. (2011). DNA Methylation: Bisulphite Modification and Analysis. Journal of Visualized Experiments. 54 indexed citations

13.

Patterson, Kate, et al.. (2011). DNA Methylation: Bisulphite Modification and Analysis. Journal of Visualized Experiments. 24 indexed citations

14.

Wang, Li, Hongmin Chen, Fenghua Liu, et al.. (2010). Monoclonal antibody targeting MUC1 and increasing sensitivity to docetaxel as a novel strategy in treating human epithelial ovarian cancer. Cancer Letters. 300(2). 122–133. 24 indexed citations

15.

Patterson, Kate, Tilman Brummer, Roger J. Daly, & Philippa M. O’Brien. (2010). DUSP26 negatively affects the proliferation of epithelial cells, an effect not mediated by dephosphorylation of MAPKs. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(9). 1003–1012. 26 indexed citations

16.

Patterson, Kate, Tilman Brummer, Philippa M. O’Brien, & Roger J. Daly. (2009). Dual-specificity phosphatases: critical regulators with diverse cellular targets. Biochemical Journal. 418(3). 475–489. 580 indexed citations breakdown →

17.

Wang, Li, Michele C. Madigan, Hongmin Chen, et al.. (2009). Expression of urokinase plasminogen activator and its receptor in advanced epithelial ovarian cancer patients. Gynecologic Oncology. 114(2). 265–272. 41 indexed citations

18.

Gedeon, Tomáš, et al.. (2008). When Activators Repress and Repressors Activate: A Qualitative Analysis of the Shea–Ackers Model. Bulletin of Mathematical Biology. 70(6). 1660–1683. 11 indexed citations

19.

Patterson, Kate. (2007). Storage capacity comparison of neural network models for memory recall. XRDS Crossroads The ACM Magazine for Students. 14(1). 1–12.

20.

Allingham, R. Rand, Janey L. Wiggs, Douglas Vollrath, et al.. (1998). Gln368STOP myocilin mutation in families with late-onset primary open-angle glaucoma.. PubMed. 39(12). 2288–95. 92 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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