Shoji Kido

139 papers and 1.8k indexed citations i.

About

Shoji Kido is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Shoji Kido has authored 139 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Radiology, Nuclear Medicine and Imaging, 79 papers in Pulmonary and Respiratory Medicine and 27 papers in Biomedical Engineering. Recurrent topics in Shoji Kido’s work include Radiomics and Machine Learning in Medical Imaging (55 papers), Lung Cancer Diagnosis and Treatment (54 papers) and COVID-19 diagnosis using AI (31 papers). Shoji Kido is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (55 papers), Lung Cancer Diagnosis and Treatment (54 papers) and COVID-19 diagnosis using AI (31 papers). Shoji Kido collaborates with scholars based in Japan, China and United States. Shoji Kido's co-authors include Keiko Kuriyama, C Kuroda, Masahiko Higashiyama, Tsutomu Kasugai, Noriyuki Tomiyama, Yasushi Hirano, Ken Kodama, J Ikezoe, J Arisawa and Kenji Kitahara and has published in prestigious journals such as Scientific Reports, Radiology and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Shoji Kido i

Fields of papers citing papers by Shoji Kido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shoji Kido

Since Specialization
Citations

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