Yoko Sato
- Molecular Biology top 0.1%
- Plant Science top 0.2%
- Ecology top 0.2%
- Cancer Research top 0.2%
- Genetics top 0.5%
- Co-authors
- Minoru KanehisaMiho FurumichiMao TanabeSusumu GotoMikio TanabeYoshiharu MatsuuraNobuyuki UozumiGunnar von Heijne
- Topics
- Reproductive Biology and Fertility (29 papers)Sperm and Testicular Function (28 papers)Animal Genetics and Reproduction (15 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanThailandUnited States
In The Last Decade
Yoko Sato
131 papers receiving 30.6k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 19.1k
- Plant Science 4.0k
- Ecology 3.6k
- Cancer Research 3.4k
- Genetics 2.8k
Countries citing papers authored by Yoko Sato
This map shows the geographic impact of Yoko 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 Yoko Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Sato more than expected).
Fields of papers citing papers by Yoko Sato
This network shows the impact of papers produced by Yoko 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 Yoko Sato. The network helps show where Yoko Sato may publish in the future.
Co-authorship network of co-authors of Yoko Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Sato. A scholar is included among the top collaborators of Yoko 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 Yoko Sato. Yoko Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | KEGG: biological systems database as a model of the real worldbreakdown → | 609 |
| 3 | 32 | |
| 4 | 4 | |
| 5 | KEGG for taxonomy-based analysis of pathways and genomesbreakdown → | 2941 |
| 6 | 452 | |
| 7 | 15 | |
| 8 | KEGG: integrating viruses and cellular organismsbreakdown → | 2376 |
| 9 | KEGG Mapper for inferring cellular functions from protein sequencesbreakdown → | 803 |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | KEGG for integration and interpretation of large-scale molecular data setsbreakdown → | 3753 |
| 14 | 1 | |
| 15 | 60 | |
| 16 | On Modeling Conceptual and Narrative Structure of Fairytales. | 1 |
| 17 | 25 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 1 |
About Yoko Sato
Yoko Sato is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics, having authored 137 papers that have together received 30.8k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (29 papers), Sperm and Testicular Function (28 papers) and Animal Genetics and Reproduction (15 papers). The work is most often cited by research in Molecular Biology (19.1k citations), Cancer Research (3.4k citations) and Ecology (3.6k citations). Yoko Sato has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Minoru Kanehisa, Miho Furumichi, Mao Tanabe, Susumu Goto, Mikio Tanabe, Yoshiharu Matsuura, Nobuyuki Uozumi, Gunnar von Heijne, Tara Hessa and IngMarie Nilsson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.