Hisayuki Yao

52 total papers · 1.1k total citations
34 papers, 890 citations indexed

About

Hisayuki Yao is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Hisayuki Yao has authored 34 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 13 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Hisayuki Yao's work include Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Hisayuki Yao is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Hisayuki Yao collaborates with scholars based in Japan, United States and Germany. Hisayuki Yao's co-authors include Taira Maekawa, Eishi Ashihara, Hideyo Hirai, Shinya Kimura, Yasuo Miura, Yoshihiro Hayashi, Miki Takeuchi, Satoshi Yoshioka, Asumi Yokota and Hitoshi Miyachi and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Hisayuki Yao

34 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
Hisayuki Yao 377 246 209 207 174 34 890
Lei Bi 627 1.7× 210 0.9× 200 1.0× 169 0.8× 177 1.0× 45 1.1k
Francisco Caiado 497 1.3× 293 1.2× 202 1.0× 270 1.3× 146 0.8× 26 1.0k
Timothy J. Hoy 505 1.3× 198 0.8× 240 1.1× 190 0.9× 375 2.2× 34 897
Antonio Fantoni 443 1.2× 112 0.5× 117 0.6× 178 0.9× 350 2.0× 35 986
Kiyotaka Kawauchi 279 0.7× 120 0.5× 157 0.8× 206 1.0× 219 1.3× 36 803
Gang Xu 389 1.0× 113 0.5× 142 0.7× 410 2.0× 264 1.5× 24 891
Joseph L. Lasky 426 1.1× 102 0.4× 193 0.9× 101 0.5× 223 1.3× 36 846
J.‐P. Magaud 252 0.7× 181 0.7× 213 1.0× 142 0.7× 167 1.0× 24 845
Ricardo López‐Pérez 618 1.6× 132 0.5× 220 1.1× 448 2.2× 118 0.7× 38 1.0k
Veronica Martini 274 0.7× 311 1.3× 150 0.7× 102 0.5× 306 1.8× 40 732

Countries citing papers authored by Hisayuki Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hisayuki Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisayuki Yao

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