Clare Verrill

99 papers and 2.4k indexed citations i.

About

Clare Verrill is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Clare Verrill has authored 99 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 29 papers in Artificial Intelligence and 26 papers in Molecular Biology. Recurrent topics in Clare Verrill’s work include AI in cancer detection (28 papers), Prostate Cancer Treatment and Research (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Clare Verrill is often cited by papers focused on AI in cancer detection (28 papers), Prostate Cancer Treatment and Research (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Clare Verrill collaborates with scholars based in United Kingdom, United States and Sweden. Clare Verrill's co-authors include Richard Colling, Mikael Lundin, Johan Lundin, Nina Linder, Panu E. Kovanen, Stig Nordling, Riku Turkki, Nick Sheron, David Snead and Dmitrii Bychkov and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Clare Verrill i

Fields of papers citing papers by Clare Verrill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Clare Verrill

Since Specialization
Citations

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