Takeshi Chujo

2.8k citations
27 papers · 2.0k indexed · 1 hit paper · h-index 15
Topics
RNA modifications and cancer (23 papers)RNA Research and Splicing (14 papers)RNA and protein synthesis mechanisms (11 papers)

In The Last Decade

Takeshi Chujo

26 papers receiving 2.0k citations

Hit Papers

Functional Domains of NEAT1 Architectural lncRNA Induce P...20182026202020232018100200300400

Peers

Takeshi Chujo
Comparison fields: 5 of 92
  • Molecular Biology 1.8k
  • Cancer Research 658
  • Plant Science 183
  • Genetics 111
  • Immunology 60
Replace Raymond T. O’Keefe with:
Raymond T. O’Keefe United Kingdom
Adam Burkholder United States
N.G.J. Jaspers Netherlands
Graciela Spivak United States
Roman J. Szczęsny Poland
Anneke van Hoffen Netherlands
Guo-Liang Chew United States
Henrik Spåhr Sweden
Tamayo Uechi Japan
Hadas Keren Israel
Takeshi Chujo relative to Raymond T. O’Keefe United Kingdom Raymond T. O’Keefe's profile →
Citations per field
00.5×4.6×
Raymond T. O’Keefe · 1×
Citations per year

Countries citing papers authored by Takeshi Chujo

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Chujo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Chujo

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Chujo. A scholar is included among the top collaborators of Takeshi Chujo 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 Takeshi Chujo. Takeshi Chujo 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 7
3 3
4 3
5 22
6 5
7 21
8 8
9 3
10 22
11 45
12 6
13 72
14
Functional Domains of NEAT1 Architectural lncRNA Induce Paraspeckle Assembly through Phase Separationbreakdown →
422
15 102
16 101
17 126
18 148
19 171
20 273

About Takeshi Chujo

Takeshi Chujo is a scholar working on Molecular Biology, Cancer Research and Virology, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (23 papers), RNA Research and Splicing (14 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Cancer Research (658 citations), Molecular Biology (1.8k citations) and Aging (12 citations). Takeshi Chujo has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tetsuro Hirose, Tsutomu Suzuki, Tomohiro Yamazaki, Shinichi Nakagawa, Archa H. Fox, Charles S. Bond, Kazuhito Tomizawa, Gérard Pierron, Sylvie Souquère and Simon Kobelke. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Cell Biology.

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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