Yukiko Sato‐Miyata

9 total papers · 406 total citations
5 papers, 79 citations indexed

About

Yukiko Sato‐Miyata is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yukiko Sato‐Miyata has authored 5 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in Yukiko Sato‐Miyata's work include Mitochondrial Function and Pathology (2 papers), Diet and metabolism studies (1 paper) and Biochemical and Molecular Research (1 paper). Yukiko Sato‐Miyata is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Diet and metabolism studies (1 paper) and Biochemical and Molecular Research (1 paper). Yukiko Sato‐Miyata collaborates with scholars based in Japan and Brazil. Yukiko Sato‐Miyata's co-authors include Toshiro Aigaki, Masabumi Funakoshi, Yasumasa Nishito, Takahiko Hara, Manabu Tsuda, Kosuke Tanegashima, Tsunaki Asano, Euler Esteves Ribeiro, Ivana Beatrice Mânica da Cruz and Francine Carla Cadoná and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Environmental Science and Pollution Research.

In The Last Decade

Yukiko Sato‐Miyata

5 papers receiving 79 citations

Author Peers

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

Author Last Decade Papers Cites
Yukiko Sato‐Miyata 39 23 9 9 9 5 79
Alejandro Chevaile 137 3.5× 25 1.1× 16 1.8× 6 0.7× 17 1.9× 7 233
Alexandre C. Pereira 54 1.4× 26 1.1× 3 0.3× 1 0.1× 13 1.4× 6 93
Carla Valongo 59 1.5× 39 1.7× 19 2.1× 2 0.2× 6 0.7× 8 219
Mingji Feng 45 1.2× 5 0.2× 8 0.9× 6 0.7× 9 1.0× 4 89
Alice Valenza 104 2.7× 24 1.0× 33 3.7× 26 2.9× 18 2.0× 7 234
Dorothy M. Needham 59 1.5× 10 0.4× 3 0.3× 4 0.4× 3 0.3× 5 121
Laura Knuppertz 80 2.1× 21 0.9× 3 0.3× 2 0.2× 6 0.7× 5 123
Xingcai Cai 51 1.3× 43 1.9× 7 0.8× 2 0.2× 10 1.1× 5 101
Lizbeth Núñez 87 2.2× 29 1.3× 10 1.1× 4 0.4× 4 0.4× 9 256
Ryan C. Bohannan 43 1.1× 20 0.9× 3 0.3× 12 1.3× 5 71

Countries citing papers authored by Yukiko Sato‐Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Sato‐Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukiko Sato‐Miyata

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