JCO Clinical Cancer Informatics

734 papers and 8.5k indexed citations

About

The 734 papers published in JCO Clinical Cancer Informatics in the last decades have received a total of 8.5k indexed citations. Papers published in JCO Clinical Cancer Informatics usually cover Oncology (286 papers), Pulmonary and Respiratory Medicine (154 papers) and Radiology, Nuclear Medicine and Imaging (150 papers) specifically the topics of Radiomics and Machine Learning in Medical Imaging (127 papers), Cancer Genomics and Diagnostics (98 papers) and Global Cancer Incidence and Screening (81 papers). The most active scholars publishing in JCO Clinical Cancer Informatics are Matvey B. Palchuk, Ümit Topaloĝlu, Paul Macklin, Debra A. Patt, John Metzcar, Randy Heiland, Yafei Wang, Jack London, Anant Madabhushi and Andrew Janowczyk.

In The Last Decade

JCO Clinical Cancer Informatics

661 papers receiving 8.4k citations

Fields of papers published in JCO Clinical Cancer Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in JCO Clinical Cancer Informatics. 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 JCO Clinical Cancer Informatics.

Countries where authors publish in JCO Clinical Cancer Informatics

Since Specialization
Citations

This map shows the geographic impact of research published in JCO Clinical Cancer Informatics. 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 JCO Clinical Cancer Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JCO Clinical Cancer Informatics 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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2026