Evangelia‐Ourania Fourkala

701 total citations
11 papers, 410 citations indexed

About

Evangelia‐Ourania Fourkala is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Evangelia‐Ourania Fourkala has authored 11 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Evangelia‐Ourania Fourkala's work include Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and BRCA gene mutations in cancer (2 papers). Evangelia‐Ourania Fourkala is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and BRCA gene mutations in cancer (2 papers). Evangelia‐Ourania Fourkala collaborates with scholars based in United Kingdom, Australia and Austria. Evangelia‐Ourania Fourkala's co-authors include Usha Menon, Ian Jacobs, Aleksandra Gentry‐Maharaj, Anne Dawnay, Alexey Zaikin, John F. Timms, Stéphane Camuzeaux, Oleg Blyuss, Sophia Apostolidou and Richard Gunu and has published in prestigious journals such as Clinical Cancer Research, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Evangelia‐Ourania Fourkala

11 papers receiving 403 citations

Peers

Evangelia‐Ourania Fourkala
Richard Gunu United Kingdom
Samuel H. Lai United States
Daniel Boehm Germany
Byung Kyun Ko South Korea
Noam Asna Israel
Limei Yin China
Richard Gunu United Kingdom
Evangelia‐Ourania Fourkala
Citations per year, relative to Evangelia‐Ourania Fourkala Evangelia‐Ourania Fourkala (= 1×) peers Richard Gunu

Countries citing papers authored by Evangelia‐Ourania Fourkala

Since Specialization
Citations

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

Fields of papers citing papers by Evangelia‐Ourania Fourkala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evangelia‐Ourania Fourkala. 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 Evangelia‐Ourania Fourkala. The network helps show where Evangelia‐Ourania Fourkala may publish in the future.

Co-authorship network of co-authors of Evangelia‐Ourania Fourkala

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

All Works

11 of 11 papers shown
2.
Russell, Matthew R., Michael J. Walker, Andrew J.K. Williamson, et al.. (2016). Protein Z: A putative novel biomarker for early detection of ovarian cancer. International Journal of Cancer. 138(12). 2984–2992. 38 indexed citations
4.
O’Brien, Darragh P., Neomal S. Sandanayake, Claire Jenkinson, et al.. (2014). Serum CA19-9 Is Significantly Upregulated up to 2 Years before Diagnosis with Pancreatic Cancer: Implications for Early Disease Detection. Clinical Cancer Research. 21(3). 622–631. 147 indexed citations
5.
Fraser, Lindsay, Matthew Burnell, Laura Currin, et al.. (2014). Identifying hopelessness in population research: a validation study of two brief measures of hopelessness. BMJ Open. 4(5). e005093–e005093. 38 indexed citations
6.
Fourkala, Evangelia‐Ourania, Michal Zikán, Andrew Wong, et al.. (2014). A BRCA1-mutation associated DNA methylation signature in blood cells predicts sporadic breast cancer incidence and survival. Genome Medicine. 6(6). 47–47. 46 indexed citations
7.
Timms, John F., Jenny Worthington, Stéphane Camuzeaux, et al.. (2014). Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies. PROTEOMICS - CLINICAL APPLICATIONS. 8(11-12). 982–993. 37 indexed citations
8.
Pedersen, Johannes W., Aleksandra Gentry‐Maharaj, Evangelia‐Ourania Fourkala, et al.. (2013). Cancer‐associated autoantibodies to MUC1 and MUC4—A blinded case–control study of colorectal cancer in UK collaborative trial of ovarian cancer screening. International Journal of Cancer. 134(9). 2180–2188. 47 indexed citations
9.
Fourkala, Evangelia‐Ourania, Aleksandra Gentry‐Maharaj, Matthew Burnell, et al.. (2012). Histological confirmation of breast cancer registration and self-reporting in England and Wales: a cohort study within the UK Collaborative Trial of Ovarian Cancer Screening. British Journal of Cancer. 106(12). 1910–1916. 4 indexed citations
10.
Jones, Allison, Matthias Lechner, Evangelia‐Ourania Fourkala, Rebecca Kristeleit, & Martin Widschwendter. (2010). Emerging Promise Of Epigenetics And Dna Methylation For The Diagnosis And Management Of Women‘S Cancers. Epigenomics. 2(1). 9–38. 20 indexed citations
11.
Fourkala, Evangelia‐Ourania, Cornelia Hauser‐Kronberger, Sophia Apostolidou, et al.. (2009). DNA methylation of polycomb group target genes in cores taken from breast cancer centre and periphery. Breast Cancer Research and Treatment. 120(2). 345–355. 7 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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