Masato Takimoto

1.3k citations
46 papers · 1.1k indexed · h-index 15
Topics
Nitric Oxide and Endothelin Effects (8 papers)Ubiquitin and proteasome pathways (5 papers)RNA Research and Splicing (5 papers)

In The Last Decade

Masato Takimoto

44 papers receiving 1.1k citations

Peers

Masato Takimoto
Comparison fields: 5 of 103
  • Molecular Biology 780
  • Cell Biology 168
  • Oncology 143
  • Physiology 137
  • Genetics 113
Replace Paula McGray with:
Paula McGray United States
Susan Young United States
Hriday K. Das United States
Laurent Baricault France
Shigenori Ogata Japan
Phillip Dicker United Kingdom
Mark K. Abe United States
Augustine Y. Lin United States
Thomas F. Sarre Germany
Masato Takimoto relative to Paula McGray United States Paula McGray's profile →
Citations per field
00.5×12×
Paula McGray · 1×
Citations per year

Countries citing papers authored by Masato Takimoto

Since Specialization
Citations

This map shows the geographic impact of Masato Takimoto'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 Masato Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Takimoto more than expected).

Fields of papers citing papers by Masato Takimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masato Takimoto. 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 Masato Takimoto. The network helps show where Masato Takimoto may publish in the future.

Co-authorship network of co-authors of Masato Takimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Takimoto. A scholar is included among the top collaborators of Masato Takimoto 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 Masato Takimoto. Masato Takimoto 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 15
2
Atlas of Genetics and Cytogenetics in Oncology and Haematology
1
3 4
4 1
5
Interpreter’s non-rendition behaviour and its effect on interaction: A case study of a multi-party interpreting situation
5
6 74
7 8
8 56
9 9
10 34
11 14
12 203
13 11
14 21
15 3
16 4
17 9
18 3
19 98
20 3

About Masato Takimoto

Masato Takimoto is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (8 papers), Ubiquitin and proteasome pathways (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Molecular Biology (780 citations), Cell Biology (168 citations) and Cancer Research (99 citations). Masato Takimoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Noboru Kuzumaki, David Levens, Hisakazu Fujita, Richard C. Koya, J. Michael Bishop, Nissim Hay, Makoto Ohtsu, Yoshihide Tsujimoto, Gideon Dreyfuss and Mark Avigan. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Genes & Development.

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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