Jun Takeya

3.6k citations
67 papers · 3.1k indexed · 1 hit paper · h-index 28

Jun Takeya

64 papers receiving 3.1k citations

Hit Papers

Self-assembly as a key player for materials nanoarchitect...3622019202620212023100200300

Peers

Jun Takeya
Comparison fields: 5 of 93
  • Polymers and Plastics 745
  • Electrical and Electronic Engineering 1.9k
  • Electronic, Optical and Magnetic Materials 465
  • Materials Chemistry 1.1k
  • Biomedical Engineering 724
Replace Nirmalya Ballav with:
Nirmalya Ballav India
Fangxu Yang China
Reiko Azumi Japan
Hai I. Wang Germany
Yves Geerts Germany
Frank Hauke Germany
Oliver Werzer Austria
Hiroto Murakami Japan
Yutaka Wakayama Japan
Jun Takeya relative to Nirmalya Ballav India Nirmalya Ballav's profile →
Citations per field
00.5×1.7×
Nirmalya Ballav · 1×
Citations per year

Countries citing papers authored by Jun Takeya

Since Specialization
Citations

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

Fields of papers citing papers by Jun Takeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jun Takeya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Takeya Line = papers co-authored together Jun Takeya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20240
5 20240
6 20232
7 20236
8 20233
9 202127
10 20215
11 202023
12 202013
13
A Technique of Transferring Solution Processed Organic Semiconductor Thin Film onto Highly Hydrophobic Substrate and its Application to Field-Effect Transistors
20191
14 201949
15 201935
16 201816
17 201764
18 201436
19 201473
20 201349

About Jun Takeya

Jun Takeya is a scholar working on Electrochemistry, Polymers and Plastics, Catalysis, Electrical and Electronic Engineering and Bioengineering, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (28 papers), Conducting polymers and applications (18 papers), Advanced Memory and Neural Computing (12 papers), Molecular Junctions and Nanostructures (9 papers), Electrochemical Analysis and Applications (9 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Thin-Film Transistor Technologies (8 papers) and Ionic liquids properties and applications (8 papers). The work is most often cited by research in Polymers and Plastics (745 citations), Electrical and Electronic Engineering (1.9k citations), Electronic, Optical and Magnetic Materials (465 citations), Materials Chemistry (1.1k citations) and Biomedical Engineering (724 citations). Jun Takeya has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Tatsuo Hasegawa, Katsuhiko Ariga, Taizo Mori, Shun Watanabe, Hiroyuki Matsui, Toshihiro Okamoto, Lok Kumar Shrestha, Jonathan P. Hill, Michihiro Nishikawa and Yoshihiro Iwasa. Their work appears in journals such as Applied Physics Letters, Advanced Materials, Physical Chemistry Chemical Physics, Nature Communications and Science and Technology of Advanced Materials.

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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