Hideyuki Yasuno

23 total papers · 598 total citations
15 papers, 496 citations indexed

About

Hideyuki Yasuno is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Hideyuki Yasuno has authored 15 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Hideyuki Yasuno's work include Iron Metabolism and Disorders (5 papers), Erythropoietin and Anemia Treatment (5 papers) and Colorectal Cancer Treatments and Studies (3 papers). Hideyuki Yasuno is often cited by papers focused on Iron Metabolism and Disorders (5 papers), Erythropoietin and Anemia Treatment (5 papers) and Colorectal Cancer Treatments and Studies (3 papers). Hideyuki Yasuno collaborates with scholars based in United States and Japan. Hideyuki Yasuno's co-authors include Kaori Fujimoto-Ouchi, Kazushige Mori, Yasushi Shimonaka, Yoichiro Moriya, Yutaka Tanaka, Fumiko Sekiguchi, Naoaki Murao, Yoshinori Aso, Masaki Ishigai and Keigo Yorozu and has published in prestigious journals such as Journal of Clinical Oncology, Toxicological Sciences and Journal of Thrombosis and Haemostasis.

In The Last Decade

Hideyuki Yasuno

15 papers receiving 474 citations

Author Peers

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

Author						Papers	Cites
Hideyuki Yasuno	167	164	133	112	111	15	496
R. M. Vigneulle	187 1.1×	114 0.7×	95 0.7×	76 0.7×	90 0.8×	18	459
Michalis Michael	171 1.0×	229 1.4×	225 1.7×	72 0.6×	66 0.6×	22	490
Séverine Cunat	83 0.5×	137 0.8×	170 1.3×	33 0.3×	90 0.8×	24	525
Ramapriya Ganti	86 0.5×	179 1.1×	269 2.0×	141 1.3×	29 0.3×	15	599
B Jacobsson	72 0.4×	117 0.7×	211 1.6×	59 0.5×	83 0.7×	20	570
Tokiko Nakamura	165 1.0×	49 0.3×	115 0.9×	45 0.4×	89 0.8×	20	516
F. M. van Bockxmeer	122 0.7×	42 0.3×	156 1.2×	48 0.4×	70 0.6×	20	574
Bhupinder Bharaj	174 1.0×	74 0.5×	198 1.5×	73 0.7×	83 0.7×	20	589
Takanori Moriki	184 1.1×	137 0.8×	232 1.7×	39 0.3×	88 0.8×	17	573
Daniel Hormaechea‐Agulla	178 1.1×	68 0.4×	219 1.6×	69 0.6×	99 0.9×	12	572

Countries citing papers authored by Hideyuki Yasuno

Since Specialization

Citations

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

Fields of papers citing papers by Hideyuki Yasuno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Yasuno

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