Takao Someya

612 citations
6 papers · 454 indexed · h-index 4
Topics
Advanced Sensor and Energy Harvesting Materials (4 papers)Conducting polymers and applications (3 papers)Neuroscience and Neural Engineering (2 papers)
Partner nations
JapanAustriaCanada

In The Last Decade

Takao Someya

6 papers receiving 445 citations

Peers

Takao Someya
Comparison fields: 5 of 43
  • Biomedical Engineering 336
  • Electrical and Electronic Engineering 232
  • Polymers and Plastics 214
  • Cellular and Molecular Neuroscience 109
  • Mechanical Engineering 54
Replace Yasutoshi Jimbo with:
Yasutoshi Jimbo Japan
Alessandra Zucca Italy
Jae‐Young Bae South Korea
Roda Nur Japan
Seonmin Jang United States
Nam-Heon Kim United States
Fengjiao Pan United States
Jialiang Yin Australia
Shinya Wai United States
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Takao Someya relative to Yasutoshi Jimbo Japan Yasutoshi Jimbo's profile →
Citations per field
00.5×10×20×29×
Yasutoshi Jimbo · 1×
Citations per year

Countries citing papers authored by Takao Someya

Since Specialization
Citations

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

Fields of papers citing papers by Takao Someya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Someya

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2 190
3 1
4 194
5 64
6 3

About Takao Someya

Takao Someya is a scholar working on Polymers and Plastics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (4 papers), Conducting polymers and applications (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Polymers and Plastics (214 citations), Biomedical Engineering (336 citations) and Bioengineering (37 citations). Takao Someya has collaborated with scholars based in Japan, Austria and Canada. Frequent co-authors include Tomoyuki Yokota, Masaki Sekino, Yusuke Inoue, Tsuyoshi Sekitani, Yusuke Abe, Kazunori Kuribara, Martin Kaltenbrunner, Hiroshi Onodera, Takashi Isoyama and Takanori Fukushima. Their work appears in journals such as Nature Communications, Science Advances and IEEE Journal of Solid-State Circuits.

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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