Hideyuki Nakaoka

47 total papers · 458 total citations
23 papers, 263 citations indexed

About

Hideyuki Nakaoka is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Hideyuki Nakaoka has authored 23 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Hideyuki Nakaoka's work include Cardiomyopathy and Myosin Studies (11 papers), Kawasaki Disease and Coronary Complications (6 papers) and Congenital heart defects research (6 papers). Hideyuki Nakaoka is often cited by papers focused on Cardiomyopathy and Myosin Studies (11 papers), Kawasaki Disease and Coronary Complications (6 papers) and Congenital heart defects research (6 papers). Hideyuki Nakaoka collaborates with scholars based in Japan, United States and China. Hideyuki Nakaoka's co-authors include Fukiko Ichida, Keijiro Ibuki, Keiichi Hirono, Sayaka Ozawa, Mako Okabe, Kazuyoshi Saito, Yukiko Hata, Naoki Nishida, Neil E. Bowles and Naoki Yoshimura and has published in prestigious journals such as PLoS ONE, Scientific Reports and The American Journal of Cardiology.

In The Last Decade

Hideyuki Nakaoka

20 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Hideyuki Nakaoka	153	129	89	67	37	23	263
Mako Okabe	136 0.9×	127 1.0×	98 1.1×	59 0.9×	38 1.0×	22	270
Yumiko Ikemoto	139 0.9×	115 0.9×	72 0.8×	54 0.8×	39 1.1×	16	282
Hugo R. Martinez	151 1.0×	135 1.0×	45 0.5×	20 0.3×	31 0.8×	37	298
Núria Solanes	100 0.7×	65 0.5×	128 1.4×	58 0.9×	16 0.4×	21	302
Masayasu Ikutomi	133 0.9×	112 0.9×	115 1.3×	42 0.6×	42 1.1×	16	306
Anca Chiriac	104 0.7×	187 1.4×	86 1.0×	31 0.5×	55 1.5×	26	326
Hairui Sun	63 0.4×	121 0.9×	37 0.4×	57 0.9×	68 1.8×	24	267
A Böör	46 0.3×	47 0.4×	49 0.6×	60 0.9×	30 0.8×	28	262
Svend Hvidsten	75 0.5×	126 1.0×	85 1.0×	30 0.4×	108 2.9×	27	317
Alfredo Pinto	35 0.2×	92 0.7×	25 0.3×	124 1.9×	24 0.6×	20	291

Countries citing papers authored by Hideyuki Nakaoka

Since Specialization

Citations

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

Fields of papers citing papers by Hideyuki Nakaoka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Nakaoka

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