Ken Dutton‐Regester

24.1k total citations
17 papers, 894 citations indexed

About

Ken Dutton‐Regester is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ken Dutton‐Regester has authored 17 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Ken Dutton‐Regester's work include Melanoma and MAPK Pathways (8 papers), Cancer Genomics and Diagnostics (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Ken Dutton‐Regester is often cited by papers focused on Melanoma and MAPK Pathways (8 papers), Cancer Genomics and Diagnostics (6 papers) and Cutaneous Melanoma Detection and Management (6 papers). Ken Dutton‐Regester collaborates with scholars based in Australia, United States and United Kingdom. Ken Dutton‐Regester's co-authors include Nicholas K. Hayward, Kevin M. Brown, Tongwu Zhang, Elke Hacker, Lauren G. Aoude, Mitchell Stark, Carleen Cullinane, Richard A. Sturm, Vanessa Bonazzi and Glen M. Boyle and has published in prestigious journals such as Molecular Cell, Cancer Research and International Journal of Cancer.

In The Last Decade

Ken Dutton‐Regester

17 papers receiving 884 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Dutton‐Regester Australia 13 648 396 221 126 122 17 894
Míriam Potrony Spain 11 389 0.6× 444 1.1× 113 0.5× 135 1.1× 136 1.1× 38 707
Stéphanie Courtois-Cox France 5 655 1.0× 336 0.8× 167 0.8× 117 0.9× 79 0.6× 5 930
Betsy Nelson United States 3 818 1.3× 442 1.1× 143 0.6× 248 2.0× 170 1.4× 3 1.1k
Clare M. Adams United States 16 641 1.0× 244 0.6× 225 1.0× 102 0.8× 51 0.4× 26 858
Rolando Pérez‐Lorenzo United States 15 460 0.7× 196 0.5× 165 0.7× 135 1.1× 52 0.4× 24 667
Cari Graff‐Cherry United States 5 384 0.6× 252 0.6× 148 0.7× 196 1.6× 91 0.7× 6 652
Aurélie Candi Belgium 7 443 0.7× 322 0.8× 175 0.8× 80 0.6× 133 1.1× 7 731
Viviana Vallacchi Italy 12 465 0.7× 277 0.7× 169 0.8× 158 1.3× 68 0.6× 25 679
Flavie Luciani France 10 693 1.1× 282 0.7× 113 0.5× 179 1.4× 395 3.2× 15 1.0k
Maider Ibarrola‐Villava Spain 16 310 0.5× 214 0.5× 136 0.6× 55 0.4× 185 1.5× 31 658

Countries citing papers authored by Ken Dutton‐Regester

Since Specialization
Citations

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

Fields of papers citing papers by Ken Dutton‐Regester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Dutton‐Regester. 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 Ken Dutton‐Regester. The network helps show where Ken Dutton‐Regester may publish in the future.

Co-authorship network of co-authors of Ken Dutton‐Regester

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Dutton‐Regester. A scholar is included among the top collaborators of Ken Dutton‐Regester 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 Ken Dutton‐Regester. Ken Dutton‐Regester 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.
Horsham, Caitlin, et al.. (2021). A Virtual Reality Game to Change Sun Protection Behavior and Prevent Cancer: User-Centered Design Approach. JMIR Serious Games. 9(1). e24652–e24652. 11 indexed citations
2.
Tiffen, Jessamy, Stuart Gallagher, Fabian V. Filipp, et al.. (2020). EZH2 Cooperates with DNA Methylation to Downregulate Key Tumor Suppressors and IFN Gene Signatures in Melanoma. Journal of Investigative Dermatology. 140(12). 2442–2454.e5. 49 indexed citations
3.
Tseng, Hsin‐Yi, Abdullah Al Emran, Dilini Gunatilake, et al.. (2020). Co‐targeting bromodomain and extra‐terminal proteins and MCL1 induces synergistic cell death in melanoma. International Journal of Cancer. 147(8). 2176–2189. 20 indexed citations
4.
Zhang, Tongwu, Ken Dutton‐Regester, Kevin M. Brown, & Nicholas K. Hayward. (2016). The genomic landscape of cutaneous melanoma. Pigment Cell & Melanoma Research. 29(3). 266–283. 116 indexed citations
5.
Izar, Benjamin, Sanjay M. Prakadan, Marc H. Wadsworth, et al.. (2016). Abstract 4380: Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-sequencing. Cancer Research. 76(14_Supplement). 4380–4380. 1 indexed citations
6.
Tiffen, Jessamy, Dilini Gunatilake, Stuart Gallagher, et al.. (2015). Targeting activating mutations of EZH2 leads to potent cell growth inhibition in human melanoma by derepression of tumor suppressor genes. Oncotarget. 6(29). 27023–27036. 62 indexed citations
7.
Barbour, Andrew P., Yue Tang, Ken Dutton‐Regester, et al.. (2014). BRAF mutation status is an independent prognostic factor for resected stage IIIB and IIIC melanoma: Implications for melanoma staging and adjuvant therapy. European Journal of Cancer. 50(15). 2668–2676. 57 indexed citations
8.
Young, Richard J., Kelly Waldeck, Claire Martin, et al.. (2014). Loss of CDKN2A expression is a frequent event in primary invasive melanoma and correlates with sensitivity to the CDK4/6 inhibitor PD0332991 in melanoma cell lines. Pigment Cell & Melanoma Research. 27(4). 590–600. 154 indexed citations
9.
Dutton‐Regester, Ken, Jared J. Gartner, Rafi Emmanuel, et al.. (2014). A highly recurrent RPS27 5'UTR mutation in melanoma. Oncotarget. 5(10). 2912–2917. 37 indexed citations
10.
Cao, Juxiang, Lixin Wan, Elke Hacker, et al.. (2013). MC1R Is a Potent Regulator of PTEN after UV Exposure in Melanocytes. Molecular Cell. 51(4). 409–422. 117 indexed citations
11.
Dutton‐Regester, Ken, Hojabr Kakavand, Lauren G. Aoude, et al.. (2013). Melanomas of unknown primary have a mutation profile consistent with cutaneous sun‐exposed melanoma. Pigment Cell & Melanoma Research. 26(6). 852–860. 41 indexed citations
12.
Prickett, Todd D., Brad J. Zerlanko, Jared J. Gartner, et al.. (2013). Somatic Mutations in MAP3K5 Attenuate Its Proapoptotic Function in Melanoma through Increased Binding to Thioredoxin. Journal of Investigative Dermatology. 134(2). 452–460. 18 indexed citations
13.
Dutton‐Regester, Ken, Darryl Irwin, Lauren G. Aoude, et al.. (2012). A High-Throughput Panel for Identifying Clinically Relevant Mutation Profiles in Melanoma. Molecular Cancer Therapeutics. 11(4). 888–897. 1 indexed citations
14.
Dutton‐Regester, Ken & Nicholas K. Hayward. (2012). Whole Genome and Exome Sequencing of Melanoma. Advances in pharmacology. 65. 399–435. 11 indexed citations
15.
Dutton‐Regester, Ken, Lauren G. Aoude, Derek J. Nancarrow, et al.. (2012). Identification of TFG (TRK‐fused gene) as a putative metastatic melanoma tumor suppressor gene. Genes Chromosomes and Cancer. 51(5). 452–461. 24 indexed citations
16.
Dutton‐Regester, Ken & Nicholas K. Hayward. (2012). Reviewing the somatic genetics of melanoma: from current to future analytical approaches. Pigment Cell & Melanoma Research. 25(2). 144–154. 33 indexed citations
17.
Boyle, Glen M., Susan L. Woods, Vanessa Bonazzi, et al.. (2011). Melanoma cell invasiveness is regulated by miR‐211 suppression of the BRN2 transcription factor. Pigment Cell & Melanoma Research. 24(3). 525–537. 142 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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