Yuki Suzuki

29 papers and 371 indexed citations i.

About

Yuki Suzuki is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yuki Suzuki has authored 29 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Biomedical Engineering and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yuki Suzuki’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (7 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Yuki Suzuki is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), COVID-19 diagnosis using AI (7 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Yuki Suzuki collaborates with scholars based in Japan, United States and Germany. Yuki Suzuki's co-authors include Hitoshi Suzuki, S Shimoda, Naoki Ishihara, Kazuhiro Takekoshi, Noriyuki Tomiyama, Shoji Kido, Shin-Ichi Shimoda, Yoshinobu Sato, S.R. Bloom and Masahiro Yanagawa and has published in prestigious journals such as PLANT PHYSIOLOGY, Stroke and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Yuki Suzuki i

Fields of papers citing papers by Yuki Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuki Suzuki

Since Specialization
Citations

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