Shohei Inui

114 total papers · 1.6k total citations
62 papers, 1.1k citations indexed

About

Shohei Inui is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Physiology. According to data from OpenAlex, Shohei Inui has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Neurology and 13 papers in Physiology. Recurrent topics in Shohei Inui's work include Parkinson's Disease Mechanisms and Treatments (11 papers), COVID-19 diagnosis using AI (8 papers) and Alzheimer's disease research and treatments (8 papers). Shohei Inui is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (11 papers), COVID-19 diagnosis using AI (8 papers) and Alzheimer's disease research and treatments (8 papers). Shohei Inui collaborates with scholars based in Japan, United States and South Korea. Shohei Inui's co-authors include Akira Fujikawa, Yasuhide Uwabe, Satoshi Umeda, Nobuo Sakaguchi, Naoaki Kunishima, Sadahiro Watanabe, Keita Sakurai, Kazuhiko Maeda, K. Kuwahara and Yuto Uchida and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Shohei Inui

52 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Shohei Inui 362 234 204 201 162 62 1.1k
Jieying Zhang 282 0.8× 267 1.1× 176 0.9× 255 1.3× 205 1.3× 81 1.2k
Calliope Maris 196 0.5× 263 1.1× 167 0.8× 174 0.9× 187 1.2× 41 1.0k
Minjae Kim 344 1.0× 127 0.5× 137 0.7× 170 0.8× 92 0.6× 78 1.1k
Tianzhu Liu 279 0.8× 292 1.2× 67 0.3× 252 1.3× 111 0.7× 43 939
Xuemei Hu 503 1.4× 147 0.6× 62 0.3× 90 0.4× 147 0.9× 90 1.3k
Frederic Carsten Schmeel 453 1.3× 146 0.6× 76 0.4× 73 0.4× 260 1.6× 62 1.5k
Yu Li 184 0.5× 276 1.2× 52 0.3× 230 1.1× 60 0.4× 66 1.1k
Philipp Eisele 262 0.7× 166 0.7× 241 1.2× 40 0.2× 106 0.7× 63 957
Yaowu Zhu 82 0.2× 291 1.2× 212 1.0× 467 2.3× 145 0.9× 44 1.1k
César Magro‐Checa 153 0.4× 168 0.7× 299 1.5× 188 0.9× 109 0.7× 53 1.2k

Countries citing papers authored by Shohei Inui

Since Specialization
Citations

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

Fields of papers citing papers by Shohei Inui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohei Inui

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