Danielle Power

10 papers and 138 indexed citations i.

About

Danielle Power is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle Power has authored 10 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle Power’s work include Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Danielle Power is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Danielle Power collaborates with scholars based in United Kingdom, Italy and Japan. Danielle Power's co-authors include Eric O. Aboagye, Haonan Lu, Gary Cook, Sue Chua, Susan J. Copley, Alessio Cortellini, Henry Tam, Andrew Scarsbrook, Richard A. O’Connor and Tara Barwick and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Nuclear Medicine and Molecular Imaging and Journal of Thoracic Oncology.

In The Last Decade

Co-authorship network of co-authors of Danielle Power i

Fields of papers citing papers by Danielle Power

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Danielle Power

Since Specialization
Citations

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