Frances Daley

52 papers and 2.2k indexed citations i.

About

Frances Daley is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Frances Daley has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 20 papers in Cancer Research and 17 papers in Molecular Biology. Recurrent topics in Frances Daley’s work include Cancer, Hypoxia, and Metabolism (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Cells and Metastasis (7 papers). Frances Daley is often cited by papers focused on Cancer, Hypoxia, and Metabolism (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Cancer Cells and Metastasis (7 papers). Frances Daley collaborates with scholars based in United Kingdom, United States and Canada. Frances Daley's co-authors include George D. Wilson, Michele I. Saunders, Søren M. Bentzen, Peter Hoskin, Stanley Dische, Paul Richman, Amen Sibtain, P I Richman, Dawn Carnell and Adrian L. Harris and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Co-authorship network of co-authors of Frances Daley i

Fields of papers citing papers by Frances Daley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frances Daley

Since Specialization
Citations

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