Daishi Yui

18 total papers · 1.3k total citations
13 papers, 1.1k citations indexed

About

Daishi Yui is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Daishi Yui has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cell Biology. Recurrent topics in Daishi Yui's work include Cell death mechanisms and regulation (3 papers), Autism Spectrum Disorder Research (2 papers) and Alzheimer's disease research and treatments (2 papers). Daishi Yui is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Autism Spectrum Disorder Research (2 papers) and Alzheimer's disease research and treatments (2 papers). Daishi Yui collaborates with scholars based in Japan, United States and United Kingdom. Daishi Yui's co-authors include Kazunori Imaizumi, Taiichi Katayama, Takunari Yoneda, Masaya Tohyama, Fumi Gomi, John L.R. Rubenstein, Yun Li, Luis F. Parada, Takanori Yokota and Louis F. Reichardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Daishi Yui

12 papers receiving 1.0k citations

Hit Papers

Activation of Caspase-12,... 2001 2026 2009 2017 2001 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Daishi Yui 570 507 338 158 121 13 1.1k
Fernanda Lisbona 828 1.5× 596 1.2× 531 1.6× 128 0.8× 153 1.3× 9 1.2k
Yusuke Sekine 452 0.8× 808 1.6× 194 0.6× 123 0.8× 64 0.5× 21 1.2k
Emily M. Lynes 653 1.1× 860 1.7× 332 1.0× 150 0.9× 48 0.4× 10 1.2k
Pavel Tsaytler 530 0.9× 689 1.4× 236 0.7× 143 0.9× 61 0.5× 9 1.1k
Cheri R. Owen 396 0.7× 492 1.0× 227 0.7× 116 0.7× 61 0.5× 14 952
Felipe Paredes 394 0.7× 595 1.2× 275 0.8× 61 0.4× 104 0.9× 15 1.1k
E. Barrón 352 0.6× 405 0.8× 253 0.7× 78 0.5× 72 0.6× 11 959
Lihong Zhao 577 1.0× 684 1.3× 188 0.6× 92 0.6× 66 0.5× 15 1.0k
Yasutake Mori 406 0.7× 778 1.5× 171 0.5× 211 1.3× 56 0.5× 20 1.2k
Yukuto Yasuhiko 431 0.8× 803 1.6× 225 0.7× 75 0.5× 96 0.8× 21 1.2k

Countries citing papers authored by Daishi Yui

Since Specialization
Citations

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

Fields of papers citing papers by Daishi Yui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daishi Yui

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