Yoshiko Sato

4.6k total citations · 2 hit papers
75 papers, 3.2k citations indexed

About

Yoshiko Sato is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Yoshiko Sato has authored 75 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Organic Chemistry and 10 papers in Epidemiology. Recurrent topics in Yoshiko Sato's work include Carbohydrate Chemistry and Synthesis (8 papers), CRISPR and Genetic Engineering (7 papers) and Pluripotent Stem Cells Research (7 papers). Yoshiko Sato is often cited by papers focused on Carbohydrate Chemistry and Synthesis (8 papers), CRISPR and Genetic Engineering (7 papers) and Pluripotent Stem Cells Research (7 papers). Yoshiko Sato collaborates with scholars based in Japan, United States and China. Yoshiko Sato's co-authors include Shinya Yamanaka, Keisuke Okita, Yasuko Matsumura, Jun Takahashi, Asuka Morizane, Kenichi Tezuka, Takahiro Kunisada, Masato Nakagawa, Koji Tanabe and A. Okada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yoshiko Sato

72 papers receiving 3.2k citations

Hit Papers

A more efficient method to generate integration-free huma... 2011 2026 2016 2021 2011 2012 400 800 1.2k

Peers

Yoshiko Sato
Comparison fields: 5 of 141
  • Molecular Biology 2.4k
  • Surgery 427
  • Physiology 380
  • Genetics 354
  • Cellular and Molecular Neuroscience 342
Replace Katsuya Miyake with:
Katsuya Miyake United States
April D. Pyle United States
Herbert Schulz Germany
Jan Hegermann Germany
Mei Zhong China
Mary Anne Conti United States
Daniel E. Michele United States
Mario Gimona Austria
Ning Liu China
Concepción Rodrı́guez Esteban United States
Katsuya Miyake United States View profile →
Citations per field, relative to Yoshiko Sato
Yoshiko Sato · 1×
Citations per year, relative to Yoshiko Sato
Yoshiko Sato · 1×

Countries citing papers authored by Yoshiko Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yoshiko Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiko Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiko Sato. A scholar is included among the top collaborators of Yoshiko 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 Yoshiko Sato. Yoshiko Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 4
5 10
6 15
7 22
8 3
9 4
10 1
11 9
12 21
13
Mammalian Type III Phosphatidylinositol Phosphate Kinase is Dispensable for Cell Growth and Survival
1
14 25
15 35
16 5
17 113
18 7
19 19
20 20

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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