Masao Yui

80 total papers · 1.4k total citations
42 papers, 985 citations indexed

About

Masao Yui is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Masao Yui has authored 42 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Pulmonary and Respiratory Medicine and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Masao Yui's work include Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (15 papers) and Atomic and Subatomic Physics Research (13 papers). Masao Yui is often cited by papers focused on Advanced MRI Techniques and Applications (20 papers), MRI in cancer diagnosis (15 papers) and Atomic and Subatomic Physics Research (13 papers). Masao Yui collaborates with scholars based in Japan, United States and South Korea. Masao Yui's co-authors include Yoshiharu Ohno, Takeshi Yoshikawa, Hisanobu Koyama, Mitsue Miyazaki, Shinichiro Seki, Kazuro Sugimura, Daisuke Takenaka, Hiroshi Toyama, Kazuhiro Murayama and Kaori Yamamoto and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Masao Yui

40 papers receiving 972 citations

Hit Papers

Deep Learning Reconstruct... 2022 2026 2023 2024 2022 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Masao Yui 715 315 263 131 87 42 985
Ning Jin 612 0.9× 148 0.5× 100 0.4× 118 0.9× 87 1.0× 90 975
Jill B. De Vis 761 1.1× 291 0.9× 106 0.4× 61 0.5× 317 3.6× 42 1.2k
S. Lalith Talagala 694 1.0× 98 0.3× 105 0.4× 79 0.6× 89 1.0× 37 1.2k
Qun Chen 702 1.0× 272 0.9× 173 0.7× 23 0.2× 45 0.5× 54 1.1k
Toni L. Ceckler 581 0.8× 149 0.5× 45 0.2× 68 0.5× 109 1.3× 26 1.2k
B. Hoop 260 0.4× 140 0.4× 165 0.6× 91 0.7× 55 0.6× 46 878
Lucie Hofmann 901 1.3× 217 0.7× 57 0.2× 56 0.4× 46 0.5× 16 1.2k
Karin Markenroth Bloch 609 0.9× 120 0.4× 83 0.3× 98 0.7× 168 1.9× 56 997
Kazuhiro Takahashi 900 1.3× 191 0.6× 71 0.3× 52 0.4× 156 1.8× 25 1.2k
Mark A. Brown 577 0.8× 90 0.3× 141 0.5× 38 0.3× 32 0.4× 24 1.0k

Countries citing papers authored by Masao Yui

Since Specialization
Citations

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

Fields of papers citing papers by Masao Yui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Yui

This figure shows the co-authorship network connecting the top 25 collaborators of Masao Yui. A scholar is included among the top collaborators of Masao Yui 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 Masao Yui. Masao Yui 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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