Keiko Tamai
- Molecular Biology top 0.5%
- Genetics top 1%
- Oncology top 2%
- Cell Biology top 1%
- Cancer Research top 2%
- Co-authors
- Xi HeBryan T. MacDonaldMikhail A. SemenovXin ZengChunming LiuFred HessYoichi KatoYu Katsuyama
- Topics
- Wnt/β-catenin signaling in development and cancer (11 papers)Cancer-related gene regulation (9 papers)Connective tissue disorders research (3 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Keiko Tamai
15 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 7.7k
- Genetics 1.4k
- Oncology 1.2k
- Cell Biology 1.0k
- Cancer Research 728
Countries citing papers authored by Keiko Tamai
This map shows the geographic impact of Keiko Tamai'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 Keiko Tamai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Tamai more than expected).
Fields of papers citing papers by Keiko Tamai
This network shows the impact of papers produced by Keiko Tamai. 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 Keiko Tamai. The network helps show where Keiko Tamai may publish in the future.
Co-authorship network of co-authors of Keiko Tamai
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Tamai. A scholar is included among the top collaborators of Keiko Tamai 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 Keiko Tamai. Keiko Tamai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | Wnt/β-Catenin Signaling: Components, Mechanisms, and Diseasesbreakdown → | 4535 |
| 4 | 28 | |
| 5 | 79 | |
| 6 | 27 | |
| 7 | 137 | |
| 8 | 74 | |
| 9 | A dual-kinase mechanism for Wnt co-receptor phosphorylation and activationbreakdown → | 650 |
| 10 | SOST Is a Ligand for LRP5/LRP6 and a Wnt Signaling Inhibitorbreakdown → | 611 |
| 11 | 443 | |
| 12 | LDL receptor-related proteins 5 and 6 in Wnt/β-catenin signaling:Arrows point the waybreakdown → | 859 |
| 13 | Head inducer Dickkopf-1 is a ligand for Wnt coreceptor LRP6breakdown → | 591 |
| 14 | LDL-receptor-related proteins in Wnt signal transductionbreakdown → | 1069 |
| 15 | 14 |
About Keiko Tamai
Keiko Tamai is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 15 papers that have together received 9.1k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (11 papers), Cancer-related gene regulation (9 papers) and Connective tissue disorders research (3 papers). The work is most often cited by research in Molecular Biology (7.7k citations), Cell Biology (1.0k citations) and Genetics (1.4k citations). Keiko Tamai has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Xi He, Bryan T. MacDonald, Mikhail A. Semenov, Xin Zeng, Chunming Liu, Fred Hess, Yoichi Kato, Yu Katsuyama, Jean‐Pierre Saint‐Jeannet and Rebecca Spokony. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.