Clare Verrill
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Prostate Cancer Diagnosis and Treatment 12
- Prostate Cancer Treatment and Research 9
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- AI in cancer detection 27
- Co-authors
- Richard Colling (25 shared papers)Nina Linder (3 shared papers)Mikael Lundin (3 shared papers)Johan Lundin (3 shared papers)Panu E. Kovanen (2 shared papers)Stig Nordling (2 shared papers)Riku Turkki (2 shared papers)Nick Sheron (7 shared papers)
- Journals
- Journal of Clinical Pathology (11 papers)The Journal of Pathology Clinical Research (5 papers)Scientific Reports (4 papers)British Journal of Urology (4 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Clare Verrill
97 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 139
- Health Informatics 161
- Radiology, Nuclear Medicine and Imaging 602
- Oncology 605
- Biophysics 136
- Artificial Intelligence 766
Countries citing papers authored by Clare Verrill
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).
Fields of papers citing papers by Clare Verrill
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.
Co-authors
The 25 scholars most cited alongside Clare Verrill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 438 | |
| 2 | 2015 | 224 | |
| 3 | 2019 | 156 | |
| 4 | 2018 | 139 | |
| 5 | 2009 | 91 | |
| 6 | 2013 | 91 | |
| 7 | 2019 | 83 | |
| 8 | 2019 | 75 | |
| 9 | 2019 | 64 | |
| 10 | 2018 | 53 | |
| 11 | 2020 | 51 | |
| 12 | 2018 | 50 | |
| 13 | 2017 | 50 | |
| 14 | 2018 | 49 | |
| 15 | 2010 | 45 | |
| 16 | 2022 | 45 | |
| 17 | 2017 | 45 | |
| 18 | 2024 | 40 | |
| 19 | 2017 | 38 | |
| 20 | 2020 | 38 |
About Clare Verrill
Clare Verrill is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Molecular Biology, Oncology and Surgery, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (27 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Testicular diseases and treatments (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Prostate Cancer Treatment and Research (9 papers), Cancer Genomics and Diagnostics (7 papers), Immunotherapy and Immune Responses (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). The work is most often cited by research in Health Informatics (161 citations), Radiology, Nuclear Medicine and Imaging (602 citations), Oncology (605 citations), Biophysics (136 citations) and Artificial Intelligence (766 citations). Clare Verrill has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Richard Colling, Nina Linder, Mikael Lundin, Johan Lundin, Panu E. Kovanen, Stig Nordling, Riku Turkki, Nick Sheron, Caj Haglund and David Snead. Their work appears in journals such as Journal of Clinical Pathology, The Journal of Pathology Clinical Research, Scientific Reports, British Journal of Urology and Journal of Clinical Oncology.
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.