Korean Journal of Radiology

2.4k papers and 42.2k indexed citations i.

About

The 2.4k papers published in Korean Journal of Radiology in the last decades have received a total of 42.2k indexed citations. Papers published in Korean Journal of Radiology usually cover Radiology, Nuclear Medicine and Imaging (816 papers), Surgery (800 papers) and Pulmonary and Respiratory Medicine (714 papers) specifically the topics of Radiomics and Machine Learning in Medical Imaging (222 papers), MRI in cancer diagnosis (222 papers) and Advanced MRI Techniques and Applications (190 papers). The most active scholars publishing in Korean Journal of Radiology are Hyun Woo Goo, Jin Mo Goo, Seong Ho Park, Jeong Min Lee, Jung Hwan Baek, Kyung Won Kim, Jeong Hyun Lee, Joon Koo Han, Chan-Hee Jo and Jimi Huh.

In The Last Decade

Fields of papers published in Korean Journal of Radiology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Korean Journal of Radiology. 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 Korean Journal of Radiology.

Countries where authors publish in Korean Journal of Radiology

Since Specialization
Citations

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