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).
Fields of papers published in Radiology Imaging Cancer
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.
About Radiology Imaging Cancer
The 273 papers published in Radiology Imaging Cancer in the last decades have received a total of 1.8k indexed citations . Papers published in Radiology Imaging Cancer usually cover Radiology, Nuclear Medicine and Imaging (148 papers), Health Informatics (6 papers) and Hepatology (30 papers) specifically the topics of Radiomics and Machine Learning in Medical Imaging (84 papers), MRI in cancer diagnosis (53 papers), Medical Imaging Techniques and Applications (33 papers), Hepatocellular Carcinoma Treatment and Prognosis (30 papers), Advanced MRI Techniques and Applications (23 papers), Prostate Cancer Diagnosis and Treatment (19 papers), Prostate Cancer Treatment and Research (18 papers) and Sarcoma Diagnosis and Treatment (16 papers). The most active scholars publishing in Radiology Imaging Cancer are Reza Forghani, Christina Liu, Piotr Grodzinski, Christine M. Glastonbury, Peter J. Littrup, Matthew F. Covington, Lacey R. McNally, Randy C. Miles, Jinde Zhang and Caroline Chiles.
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.