Tomoyuki Tanaka

16.2k citations
226 papers · 11.4k indexed · 4 hit papers · h-index 55
Topics
Microtubule and mitosis dynamics (48 papers)Genomics and Chromatin Dynamics (27 papers)Silicon Carbide Semiconductor Technologies (24 papers)

In The Last Decade

Tomoyuki Tanaka

218 papers receiving 11.2k citations

Hit Papers

Ordered Recruitment of Transcription and Chromatin Remode...19972026200620161999200020021997100200300400500

Peers

Tomoyuki Tanaka
Comparison fields: 5 of 169
  • Molecular Biology 8.2k
  • Cell Biology 3.5k
  • Plant Science 1.8k
  • Oncology 831
  • Genetics 619
Replace P. Andrew Karplus with:
P. Andrew Karplus United States
Yasushi Ishihama Japan
Liang Tong United States
Gerrit van Meer Netherlands
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Hazel M. Holden United States
Haiteng Deng China
Ole N. Jensen Denmark
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Tomoyuki Tanaka relative to P. Andrew Karplus United States P. Andrew Karplus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomoyuki Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Tanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Tanaka. A scholar is included among the top collaborators of Tomoyuki Tanaka 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 Tomoyuki Tanaka. Tomoyuki Tanaka 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 1
3 5
4 7
5 0
6 0
7 2
8 56
9 8
10 53
11 36
12 1
13
A Study on Tuning Technique for Variable Bandwidth G_m-C Filter
1
14 21
15
A design of gain-boosted folded-cascode CMOS op-amp for SC circuits
1
16 219
17 3
18
5
19 92
20 3

About Tomoyuki Tanaka

Tomoyuki Tanaka is a scholar working on Cell Biology, Molecular Biology and Structural Biology, having authored 226 papers that have together received 11.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (48 papers), Genomics and Chromatin Dynamics (27 papers) and Silicon Carbide Semiconductor Technologies (24 papers). The work is most often cited by research in Cell Biology (3.5k citations), Molecular Biology (8.2k citations) and Plant Science (1.8k citations). Tomoyuki Tanaka has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kim Nasmyth, Kozo Tanaka, Terence H. Rabbitts, Maria Pia Cosma, Shinya Toyokuni, Etsushi Kitamura, Dunja Knapp, Hiroshi Hiai, Kôji Uchida and Michael J. R. Stark. Their work appears in journals such as Nature, Cell and Journal of the American Chemical Society.

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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