Yoji Urata

90 total papers · 805 total citations
44 papers, 628 citations indexed

About

Yoji Urata is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yoji Urata has authored 44 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yoji Urata's work include Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (4 papers) and AI in cancer detection (3 papers). Yoji Urata is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (4 papers) and AI in cancer detection (3 papers). Yoji Urata collaborates with scholars based in Japan and United States. Yoji Urata's co-authors include Tsukasa Ashihara, Yoshihiro Kitamura, Atsuko Kobayashi, Hideki ONODERA, Kunihiko Kooguchi, Satoru Hashimoto, Yoshiaki Sonoda, Takafumi Kimura, Katsumi Hayakawa and Hisakazu Yamagishi and has published in prestigious journals such as The Journal of Cell Biology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Yoji Urata

40 papers receiving 609 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yoji Urata 194 164 101 99 96 44 628
Maria Melachrinou 230 1.2× 130 0.8× 166 1.6× 121 1.2× 52 0.5× 54 720
L Zimnoch 165 0.9× 115 0.7× 115 1.1× 112 1.1× 181 1.9× 64 649
Gaëlle Clavel 153 0.8× 104 0.6× 112 1.1× 110 1.1× 65 0.7× 50 750
D L Scott 151 0.8× 83 0.5× 138 1.4× 60 0.6× 103 1.1× 42 748
Ziad Salem 138 0.7× 106 0.6× 234 2.3× 70 0.7× 93 1.0× 39 706
Fadi Farhat 187 1.0× 233 1.4× 196 1.9× 135 1.4× 35 0.4× 55 683
Takakazu Sasaguri 217 1.1× 100 0.6× 183 1.8× 126 1.3× 42 0.4× 40 776
Nilüfer Onak Kandemir 186 1.0× 113 0.7× 150 1.5× 122 1.2× 28 0.3× 50 653
Nan Chen 222 1.1× 76 0.5× 110 1.1× 66 0.7× 53 0.6× 57 599
Nils Söderström 93 0.5× 104 0.6× 87 0.9× 186 1.9× 145 1.5× 41 740

Countries citing papers authored by Yoji Urata

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Urata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoji Urata

This figure shows the co-authorship network connecting the top 25 collaborators of Yoji Urata. A scholar is included among the top collaborators of Yoji Urata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yoji Urata. Yoji Urata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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