Ken‐Ichi Takemaru

7.8k citations
58 papers · 3.3k indexed · h-index 30
Topics
Genetic and Kidney Cyst Diseases (19 papers)Wnt/β-catenin signaling in development and cancer (18 papers)Cancer-related gene regulation (16 papers)
Partner nations
United StatesJapanFrance

In The Last Decade

Ken‐Ichi Takemaru

55 papers receiving 3.2k citations

Peers

Ken‐Ichi Takemaru
Comparison fields: 5 of 116
  • Molecular Biology 2.5k
  • Genetics 860
  • Cell Biology 417
  • Cellular and Molecular Neuroscience 274
  • Oncology 262
Replace Yoshiko Takahashi with:
Yoshiko Takahashi Japan
Ritsuko Takada Japan
D. A. Melton United States
Thomas D. Sargent United States
Susan F. Godsave Netherlands
Daniel B. Constam Switzerland
Benoît Robert France
Masanori Taira Japan
Tamara A. Ranalli United States
William C. Skarnes United Kingdom
Ken‐Ichi Takemaru relative to Yoshiko Takahashi Japan Yoshiko Takahashi's profile →
Citations per field
00.5×1.5×
Yoshiko Takahashi · 1×
Citations per year

Countries citing papers authored by Ken‐Ichi Takemaru

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ken‐Ichi Takemaru

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐Ichi Takemaru. A scholar is included among the top collaborators of Ken‐Ichi Takemaru 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 Ken‐Ichi Takemaru. Ken‐Ichi Takemaru 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
#WorkIndexed citations
1 0
2 0
3 6
4 19
5 0
6 1
7 14
8 49
9 18
10 16
11 6
12 111
13 88
14 217
15 102
16 17
17 98
18 25
19 40
20 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) and Cancer-related gene regulation (16 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.

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