Roslin Russell

12.5k total citations · 2 hit papers
30 papers, 2.7k citations indexed

About

Roslin Russell is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Roslin Russell has authored 30 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Roslin Russell's work include Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (6 papers) and Epigenetics and DNA Methylation (3 papers). Roslin Russell is often cited by papers focused on Gene expression and cancer classification (6 papers), Genomics and Chromatin Dynamics (6 papers) and Epigenetics and DNA Methylation (3 papers). Roslin Russell collaborates with scholars based in United Kingdom, Australia and Portugal. Roslin Russell's co-authors include Douglas J. Winton, Richard Kemp, Heather Zecchini, Anna M. Nicholson, Louis Vermeulen, Simon J. A. Buczacki, Marco Lee, Koichi Yoshikawa, Jane Bayani and Austin Smith and has published in prestigious journals such as Nature, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Roslin Russell

30 papers receiving 2.7k citations

Hit Papers

Glioma Stem Cell Lines Expanded in Adherent Culture Have ... 2009 2026 2014 2020 2009 2013 250 500 750

Peers

Roslin Russell
Andrew Wilber United States
Chul Geun Kim South Korea
Hesed Padilla‐Nash United States
Julie J. Miller United States
Stephen M. Sykes United States
Keith Brennan United Kingdom
Andrew Wilber United States
Roslin Russell
Citations per year, relative to Roslin Russell Roslin Russell (= 1×) peers Andrew Wilber

Countries citing papers authored by Roslin Russell

Since Specialization
Citations

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

Fields of papers citing papers by Roslin Russell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roslin Russell

This figure shows the co-authorship network connecting the top 25 collaborators of Roslin Russell. A scholar is included among the top collaborators of Roslin Russell 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 Roslin Russell. Roslin Russell 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.
Joseph, Chitra, Madeleine L. Craze, Roslin Russell, et al.. (2018). Mediator complex (MED) 7: a biomarker associated with good prognosis in invasive breast cancer, especially ER+ luminal subtypes. British Journal of Cancer. 118(8). 1142–1151. 10 indexed citations
2.
Donati, Giacomo, Emanuel Rognoni, Toru Hiratsuka, et al.. (2017). Wounding induces dedifferentiation of epidermal Gata6+ cells and acquisition of stem cell properties. Nature Cell Biology. 19(6). 603–613. 125 indexed citations
3.
Hu, Dong, Luke A. Selth, Gerard A. Tarulli, et al.. (2016). Androgen and Estrogen Receptors in Breast Cancer Coregulate Human UDP-Glucuronosyltransferases 2B15 and 2B17. Cancer Research. 76(19). 5881–5893. 48 indexed citations
4.
Abdel-Fatah, Tarek M.A., Devika Agarwal, Dongxu Liu, et al.. (2016). SPAG5 as a prognostic biomarker and chemotherapy sensitivity predictor in breast cancer: a retrospective, integrated genomic, transcriptomic, and protein analysis. The Lancet Oncology. 17(7). 1004–1018. 76 indexed citations
5.
Periyasamy, Manikandan, Hetal Patel, Chun‐Fui Lai, et al.. (2015). APOBEC3B-Mediated Cytidine Deamination Is Required for Estrogen Receptor Action in Breast Cancer. Cell Reports. 13(1). 108–121. 87 indexed citations
6.
Nguyen, Akira, Daniel Roden, Benjamin Elsworth, et al.. (2015). MicroRNA profiling of the pubertal mouse mammary gland identifies miR-184 as a candidate breast tumour suppressor gene. Breast Cancer Research. 17(1). 83–83. 40 indexed citations
7.
Zecchini, Vincent, Basetti Madhu, Roslin Russell, et al.. (2014). Nuclear ARRB 1 induces pseudohypoxia and cellular metabolism reprogramming in prostate cancer. The EMBO Journal. 33(12). 1365–1382. 51 indexed citations
8.
Abdel-Fatah, Tarek M.A., Roslin Russell, Devika Agarwal, et al.. (2014). DNA polymerase β deficiency is linked to aggressive breast cancer: A comprehensive analysis of gene copy number, mRNA and protein expression in multiple cohorts. Molecular Oncology. 8(3). 520–532. 30 indexed citations
9.
Albarakati, Nada, Tarek M.A. Abdel-Fatah, Rachel Doherty, et al.. (2014). Targeting BRCA1‐BER deficient breast cancer by ATM or DNA‐PKcs blockade either alone or in combination with cisplatin for personalized therapy. Molecular Oncology. 9(1). 204–217. 65 indexed citations
10.
Lamb, Alastair, Antonio Ramos‐Montoya, Roslin Russell, et al.. (2014). Role of Hes6 in castration-resistant prostate cancer. The Lancet. 383. S67–S67. 1 indexed citations
11.
Buczacki, Simon J. A., Heather Zecchini, Anna M. Nicholson, et al.. (2013). Intestinal label-retaining cells are secretory precursors expressing Lgr5. Nature. 495(7439). 65–69. 568 indexed citations breakdown →
12.
Earl, Helena, Suet‐Feung Chin, Mark Dunning, et al.. (2013). Neo-tAnGo science: A translational study of PAM 50 sub-typing in sequential fresh tissue samples during neoadjuvant chemotherapy.. Journal of Clinical Oncology. 31(15_suppl). 1015–1015. 1 indexed citations
13.
Nilsen, Gro, Knut Liestøl, Peter Van Loo, et al.. (2012). Copynumber: Efficient algorithms for single- and multi-track copy number segmentation. BMC Genomics. 13(1). 591–591. 156 indexed citations
14.
Liu, Ruijie, Ana-Teresa Maia, Roslin Russell, et al.. (2012). Allele-specific expression analysis methods for high-density SNP microarray data. Bioinformatics. 28(8). 1102–1108. 8 indexed citations
15.
Abraham, Jean, Mel Maranian, Inmaculada Spiteri, et al.. (2012). Saliva samples are a viable alternative to blood samples as a source of DNA for high throughput genotyping. BMC Medical Genomics. 5(1). 19–19. 120 indexed citations
16.
Rassl, Doris M., et al.. (2011). Two Novel Determinants of Etoposide Resistance in Small Cell Lung Cancer. Cancer Research. 71(14). 4877–4887. 38 indexed citations
17.
Ross-Innes, Caryn S., Rory Stark, Kelly A. Holmes, et al.. (2010). Cooperative interaction between retinoic acid receptor-α and estrogen receptor in breast cancer. Genes & Development. 24(2). 171–182. 216 indexed citations
18.
Kreil, David P., Roslin Russell, & Steven Russell. (2006). [4] Microarray Oligonucleotide Probes. Methods in enzymology on CD-ROM/Methods in enzymology. 410. 73–98. 45 indexed citations
19.
Auburn, Richard P., et al.. (2006). SimArray: a user-friendly and user-configurable microarray design tool. BMC Bioinformatics. 7(1). 102–102. 3 indexed citations
20.
Sambrook, Jennifer, Roslin Russell, Yagnesh Umrania, et al.. (2002). Fugu orthologues of human major histocompatibility complex genes: a genome survey. Immunogenetics. 54(6). 367–380. 41 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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