Kazuta Yasui

73 total papers · 740 total citations
42 papers, 467 citations indexed

About

Kazuta Yasui is a scholar working on Immunology, Hematology and Genetics. According to data from OpenAlex, Kazuta Yasui has authored 42 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 19 papers in Hematology and 13 papers in Genetics. Recurrent topics in Kazuta Yasui's work include Blood disorders and treatments (11 papers), Platelet Disorders and Treatments (10 papers) and Blood transfusion and management (9 papers). Kazuta Yasui is often cited by papers focused on Blood disorders and treatments (11 papers), Platelet Disorders and Treatments (10 papers) and Blood transfusion and management (9 papers). Kazuta Yasui collaborates with scholars based in Japan, United States and Australia. Kazuta Yasui's co-authors include Fumiya Hirayama, Yoshihiko Tani, Kayoko Matsumoto, Rika A. Furuta, Nobuki Matsuyama, Toru Nakano, Hirotoshi Shibata, Yoshinori Horie, Naoko Yamashita and Junichi Tsukada and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Kazuta Yasui

40 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Kazuta Yasui 198 156 120 98 66 42 467
Fumiaki Nakajima 112 0.6× 191 1.2× 175 1.5× 72 0.7× 37 0.6× 38 534
K Hirashima 152 0.8× 177 1.1× 129 1.1× 28 0.3× 51 0.8× 34 418
Alexandra Dorn‐Beineke 137 0.7× 82 0.5× 117 1.0× 54 0.6× 98 1.5× 25 441
Peisong Ma 181 0.9× 62 0.4× 203 1.7× 45 0.5× 24 0.4× 32 544
Hoàng Anh Vũ 118 0.6× 56 0.4× 142 1.2× 34 0.3× 54 0.8× 55 436
G. Füst 94 0.5× 267 1.7× 118 1.0× 35 0.4× 73 1.1× 52 492
Petra Pavel 134 0.7× 71 0.5× 88 0.7× 51 0.5× 42 0.6× 29 404
Antonio Azzarà 122 0.6× 120 0.8× 110 0.9× 84 0.9× 72 1.1× 50 492
Denis Bernot 46 0.2× 67 0.4× 199 1.7× 24 0.2× 22 0.3× 26 468
Zhangbiao Long 245 1.2× 69 0.4× 104 0.9× 36 0.4× 68 1.0× 34 524

Countries citing papers authored by Kazuta Yasui

Since Specialization
Citations

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

Fields of papers citing papers by Kazuta Yasui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuta Yasui

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