Yayoi Toyooka
- Molecular Biology top 2%
- Genetics top 2%
- Public Health, Environmental and Occupational Health top 2%
- Reproductive Medicine top 2%
- Surgery top 10%
- Co-authors
- Hitoshi NiwaDaisuke ShimosatoToshiaki NoceKadue TakahashiNaoki TsunekawaDan StrumpfJanet RossantKazuhiro Murakami
- Topics
- Pluripotent Stem Cells Research (16 papers)Renal and related cancers (10 papers)CRISPR and Genetic Engineering (8 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yayoi Toyooka
22 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 3.5k
- Genetics 973
- Public Health, Environmental and Occupational Health 838
- Reproductive Medicine 437
- Surgery 334
Countries citing papers authored by Yayoi Toyooka
This map shows the geographic impact of Yayoi Toyooka'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 Yayoi Toyooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yayoi Toyooka more than expected).
Fields of papers citing papers by Yayoi Toyooka
This network shows the impact of papers produced by Yayoi Toyooka. 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 Yayoi Toyooka. The network helps show where Yayoi Toyooka may publish in the future.
Co-authorship network of co-authors of Yayoi Toyooka
This figure shows the co-authorship network connecting the top 25 collaborators of Yayoi Toyooka. A scholar is included among the top collaborators of Yayoi Toyooka 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 Yayoi Toyooka. Yayoi Toyooka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 27 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 33 | |
| 10 | 18 | |
| 11 | 82 | |
| 12 | 429 | |
| 13 | Pluripotency governed by Sox2 via regulation of Oct3/4 expression in mouse embryonic stem cellsbreakdown → | 900 |
| 14 | 1 | |
| 15 | Interaction between Oct3/4 and Cdx2 Determines Trophectoderm Differentiationbreakdown → | 904 |
| 16 | Embryonic stem cells can form germ cells in vitrobreakdown → | 534 |
| 17 | 467 | |
| 18 | The mouse homolog of Drosophila Vasa is required for the development of male germ cellsbreakdown → | 544 |
| 19 | 17 | |
| 20 | 5 |
About Yayoi Toyooka
Yayoi Toyooka is a scholar working on Molecular Biology, Reproductive Medicine and Genetics, having authored 23 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (16 papers), Renal and related cancers (10 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Reproductive Medicine (437 citations), Molecular Biology (3.5k citations) and Aging (65 citations). Yayoi Toyooka has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hitoshi Niwa, Daisuke Shimosato, Toshiaki Noce, Kadue Takahashi, Naoki Tsunekawa, Dan Strumpf, Janet Rossant, Kazuhiro Murakami, Yoshihiko Takahashi and Yasuhisa Matsui. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.
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.