Satoko Sakata

93 total papers · 3.6k total citations
66 papers, 819 citations indexed

About

Satoko Sakata is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Satoko Sakata has authored 66 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 16 papers in Physiology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Satoko Sakata's work include Blood Pressure and Hypertension Studies (15 papers), Nutritional Studies and Diet (10 papers) and Cardiovascular Health and Disease Prevention (9 papers). Satoko Sakata is often cited by papers focused on Blood Pressure and Hypertension Studies (15 papers), Nutritional Studies and Diet (10 papers) and Cardiovascular Health and Disease Prevention (9 papers). Satoko Sakata collaborates with scholars based in Japan, Australia and United States. Satoko Sakata's co-authors include Takanari Kitazono, Toshiharu Ninomiya, Jun Hata, Mao Shibata, Takanori Honda, Daigo Yoshida, Emi Oishi, Yoichiro Hirakawa, Tomoyuki Ohara and Yoshihiko Furuta and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Satoko Sakata

61 papers receiving 809 citations

Author Peers

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

Author						Papers	Cites
Satoko Sakata	260	171	139	132	119	66	819
Doosup Shin	241 0.9×	153 0.9×	281 2.0×	127 1.0×	124 1.0×	74	1.0k
P. Andreozzi	146 0.6×	201 1.2×	143 1.0×	113 0.9×	98 0.8×	47	766
Mira Kang	263 1.0×	217 1.3×	137 1.0×	144 1.1×	86 0.7×	68	1.0k
George S. Chrysant	337 1.3×	112 0.7×	160 1.2×	194 1.5×	98 0.8×	55	981
Kazuya Setoh	225 0.9×	220 1.3×	98 0.7×	91 0.7×	96 0.8×	61	849
Youbao Li	171 0.7×	206 1.2×	138 1.0×	92 0.7×	98 0.8×	55	1.1k
Dragan Lović	374 1.4×	112 0.7×	116 0.8×	217 1.6×	74 0.6×	68	901
D. J. Sumner	264 1.0×	146 0.9×	137 1.0×	83 0.6×	58 0.5×	53	1.1k
Young Su Joo	155 0.6×	129 0.8×	115 0.8×	123 0.9×	83 0.7×	71	931
Sergio Castellani	290 1.1×	128 0.7×	129 0.9×	74 0.6×	59 0.5×	56	896

Countries citing papers authored by Satoko Sakata

Since Specialization

Citations

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

Fields of papers citing papers by Satoko Sakata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoko Sakata

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