Ken‐Ichi Takemaru
- Molecular Biology top 5%
- Wnt/β-catenin signaling in development and cancer 18
- Cancer-related gene regulation 16
- Protist diversity and phylogeny 6
- Ubiquitin and proteasome pathways 6
- Renal and related cancers 6
- RNA Research and Splicing 6
- Developmental Neuroscience top 5%
- Genetics top 2%
- Genetic and Kidney Cyst Diseases 19
- Cell Biology top 5%
- Microtubule and mitosis dynamics 8
- Immunology and Allergy top 5%
- Co-authors
- Randall T. MoonFeng‐Qian LiHitoshi UedaSusumu HiroseFeng-Qian LiJoel M. LevineRichard W. CarthewShinji Yamaguchi
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Ken‐Ichi Takemaru
55 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 2.5k
- Developmental Neuroscience 141
- Genetics 860
- Cell Biology 417
- Immunology and Allergy 98
Countries citing papers authored by Ken‐Ichi Takemaru
This map shows the geographic impact of Ken‐Ichi Takemaru'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 Ken‐Ichi Takemaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken‐Ichi Takemaru more than expected).
Fields of papers citing papers by Ken‐Ichi Takemaru
This network shows the impact of papers produced by Ken‐Ichi Takemaru. 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 Ken‐Ichi Takemaru. The network helps show where Ken‐Ichi Takemaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken‐Ichi Takemaru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 6 | |
| 4 | 2018 | 19 | |
| 5 | 2018 | 0 | |
| 6 | 2017 | 1 | |
| 7 | 2015 | 14 | |
| 8 | 2014 | 49 | |
| 9 | 2014 | 18 | |
| 10 | 2013 | 16 | |
| 11 | 2011 | 6 | |
| 12 | 2008 | 111 | |
| 13 | 2003 | 88 | |
| 14 | 2002 | 217 | |
| 15 | 1999 | 102 | |
| 16 | 1999 | 17 | |
| 17 | 1998 | 98 | |
| 18 | 1997 | 25 | |
| 19 | 1996 | 40 | |
| 20 | 1995 | 90 |
About Ken‐Ichi Takemaru
Ken‐Ichi Takemaru is a scholar working on Genetics, Cell Biology and Molecular Biology, having authored 58 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (19 papers), Wnt/β-catenin signaling in development and cancer (18 papers), Cancer-related gene regulation (16 papers), Microtubule and mitosis dynamics (8 papers), Protist diversity and phylogeny (6 papers), Ubiquitin and proteasome pathways (6 papers), Renal and related cancers (6 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Developmental Neuroscience (141 citations) and Genetics (860 citations). Ken‐Ichi Takemaru has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Randall T. Moon, Feng‐Qian Li, Hitoshi Ueda, Susumu Hirose, Feng-Qian Li, Joel M. Levine, Richard W. Carthew, Shinji Yamaguchi, Young Sik Lee and Yang Zhang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.