Hayley Ellis

10 papers and 374 indexed citations i.

About

Hayley Ellis is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Hayley Ellis has authored 10 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Hayley Ellis’s work include Glioma Diagnosis and Treatment (6 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Hayley Ellis is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), RNA modifications and cancer (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Hayley Ellis collaborates with scholars based in United Kingdom, Germany and United States. Hayley Ellis's co-authors include Kathreena M. Kurian, Andrea Sottoriva, Inmaculada Spiteri, Harry R. Haynes, Paul White, Christopher Wragg, Abigail Shaw, Claire Faulkner, G M Smith and Hannah Williams and has published in prestigious journals such as British Journal of Cancer, Journal of Neuropathology & Experimental Neurology and Neuro-Oncology.

In The Last Decade

Co-authorship network of co-authors of Hayley Ellis i

Fields of papers citing papers by Hayley Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hayley Ellis

Since Specialization
Citations

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

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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2025