Mikako Sato

64 total papers · 773 total citations
43 papers, 646 citations indexed

About

Mikako Sato is a scholar working on Physiology, Organic Chemistry and Behavioral Neuroscience. According to data from OpenAlex, Mikako Sato has authored 43 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 11 papers in Organic Chemistry and 8 papers in Behavioral Neuroscience. Recurrent topics in Mikako Sato's work include Biochemical effects in animals (21 papers), Free Radicals and Antioxidants (11 papers) and Stress Responses and Cortisol (8 papers). Mikako Sato is often cited by papers focused on Biochemical effects in animals (21 papers), Free Radicals and Antioxidants (11 papers) and Stress Responses and Cortisol (8 papers). Mikako Sato collaborates with scholars based in Japan, United Kingdom and United States. Mikako Sato's co-authors include Fumiki Morimatsu, Yoshihisa Takahata, Kaoru Takamatsu, Kazuo Shimizu, Mitsuhiro Furuse, Shozo Tomonaga, Makoto Shibata, Hang Guo, Youzuo Zhang and Ai Saiga and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Agricultural and Food Chemistry.

In The Last Decade

Mikako Sato

39 papers receiving 606 citations

Author Peers

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

Author Last Decade Papers Cites
Mikako Sato 357 157 134 105 98 43 646
S. L. Stvolinsky 544 1.5× 157 1.0× 375 2.8× 11 0.1× 143 1.5× 41 726
Allan White 49 0.1× 208 1.3× 24 0.2× 67 0.6× 49 0.5× 36 715
B. Bałasińska 132 0.4× 128 0.8× 31 0.2× 21 0.2× 17 0.2× 33 580
Çetin Pekçetin 179 0.5× 157 1.0× 46 0.3× 9 0.1× 71 0.7× 40 792
Laura Blancquaert 383 1.1× 94 0.6× 173 1.3× 9 0.1× 52 0.5× 22 554
Ivan Cruz‐Chamorro 142 0.4× 342 2.2× 18 0.1× 50 0.5× 14 0.1× 43 744
Yongxin Gao 80 0.2× 162 1.0× 54 0.4× 76 0.7× 16 0.2× 32 623
Maziar Mohammad Akhavan 84 0.2× 215 1.4× 24 0.2× 58 0.6× 86 0.9× 26 739
M. V. V. Subramanyam 197 0.6× 274 1.7× 15 0.1× 64 0.6× 31 0.3× 35 704
Xiaojie Shi 120 0.3× 226 1.4× 129 1.0× 11 0.1× 37 0.4× 31 673

Countries citing papers authored by Mikako Sato

Since Specialization
Citations

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

Fields of papers citing papers by Mikako Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikako Sato

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