Tadayuki Takeda

945 citations
12 papers · 632 indexed · h-index 12
Topics
DNA Repair Mechanisms (5 papers)Fungal and yeast genetics research (4 papers)Genomics and Chromatin Dynamics (2 papers)
Partner nations
JapanItalyIndia

In The Last Decade

Tadayuki Takeda

12 papers receiving 616 citations

Peers

Tadayuki Takeda
Comparison fields: 5 of 62
  • Molecular Biology 527
  • Cell Biology 131
  • Developmental Neuroscience 64
  • Cellular and Molecular Neuroscience 63
  • Cancer Research 55
Replace Elena Iavnilovitch with:
Elena Iavnilovitch Israel
Gee Y. Ching United States
Inga Hansson Sweden
Laura J.A. Hardwick United Kingdom
Fernando J. Sallés United States
Dana L. Madison United States
T. Werner Germany
Katarina Gell Sweden
Adi Minis United States
Rebecca R. Viales Germany
Tadayuki Takeda relative to Elena Iavnilovitch Israel Elena Iavnilovitch's profile →
Citations per field
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Elena Iavnilovitch · 1×
Citations per year

Countries citing papers authored by Tadayuki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Tadayuki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayuki Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tadayuki Takeda. A scholar is included among the top collaborators of Tadayuki Takeda 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 Tadayuki Takeda. Tadayuki Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 12
2 153
3 79
4 32
5 19
6 34
7 49
8 83
9 90
10 25
11 26
12
The p40x of human T-cell leukemia virus type I is a trans-acting activator of viral gene transcription.
30

About Tadayuki Takeda

Tadayuki Takeda is a scholar working on Developmental Neuroscience, Molecular Biology and Neurology, having authored 12 papers that have together received 632 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Fungal and yeast genetics research (4 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Developmental Neuroscience (64 citations), Cell Biology (131 citations) and Molecular Biology (527 citations). Tadayuki Takeda has collaborated with scholars based in Japan, Italy and India. Frequent co-authors include Ken‐ichi Arai, Keiko Ogino, Hisao Masai, Hideo Ikeda, Kazuo Tatebayashi, Naoki Adati, Yuichiro Nishida, Hiroyuki Kumagai, Tsuyoshi Miyake and Kinichi Nakashima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

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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