Radiology Imaging Cancer

208 papers and 1.4k indexed citations i.

About

The 208 papers published in Radiology Imaging Cancer in the last decades have received a total of 1.4k indexed citations. Papers published in Radiology Imaging Cancer usually cover Radiology, Nuclear Medicine and Imaging (119 papers), Pulmonary and Respiratory Medicine (68 papers) and Oncology (48 papers) specifically the topics of Radiomics and Machine Learning in Medical Imaging (66 papers), MRI in cancer diagnosis (42 papers) and Medical Imaging Techniques and Applications (29 papers). The most active scholars publishing in Radiology Imaging Cancer are Reza Forghani, Christine M. Glastonbury, Christina Liu, Piotr Grodzinski, Matthew F. Covington, Peter J. Littrup, William M. MacCuaig, Meredith Jones, Lacey R. McNally and Oshaani Abeyakoon.

In The Last Decade

Fields of papers published in Radiology Imaging Cancer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Radiology Imaging Cancer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Radiology Imaging Cancer.

Countries where authors publish in Radiology Imaging Cancer

Since Specialization
Citations

This map shows the geographic impact of research published in Radiology Imaging Cancer. 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 papers published in Radiology Imaging Cancer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radiology Imaging Cancer 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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