Jun Sakai

107 papers receiving 2.3k citations

Jun Sakai's Hit Papers

Deep-ultraviolet light-emitting diodes with external quantum efficiency higher than 20% at 275 nm achieved by improving light-extraction efficiency 2017 · 467 citations
4670+3+6Years since publication100200300400

Peers

Jun Sakai
Comparison fields: 5 of 144
  • Condensed Matter Physics 438
  • Polymers and Plastics 478
  • Electronic, Optical and Magnetic Materials 347
  • Molecular Medicine 82
  • Infectious Diseases 287
Replace Özkan Yıldız with:
Özkan Yıldız Germany
Fatih İnci Türkiye
Toshio Itoh Japan
Gil U. Lee United States
Yuru Wang China
Xiaoxiao Zhu China
Jung Ok Park United States
Manu Forero-Shelton Colombia
Fei Guo China
Susan Daniel United States
Jun Sakai relative to Özkan Yıldız Germany Özkan Yıldız's profile →
Citations per field
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Özkan Yıldız · 1×
Citations per year

Countries citing papers authored by Jun Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Sakai, 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 Sakai Line = papers co-authored together Jun Sakai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep-ultraviolet light-emitting diodes with external quantum efficiency higher than 20% at 275 nm achieved by improving light-extraction efficiency
Hit paper breakdown →
2017467
2 2000195
3 1996112
4 200688
5 202085
6 202082
7 200882
8 200871
9 200870
10 200966
11 200957
12 201956
13 201044
14 201742
15 202141
16 200941
17 200640
18 200838
19 201835
20 200034

About Jun Sakai

Jun Sakai is a scholar working on Electrical and Electronic Engineering, Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology and Civil and Structural Engineering, having authored 119 papers that have together received 2.3k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (18 papers), Conducting polymers and applications (15 papers), Soil Mechanics and Vehicle Dynamics (11 papers), Atrial Fibrillation Management and Outcomes (11 papers), Mechanical Engineering and Vibrations Research (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Cardiac Arrhythmias and Treatments (9 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Condensed Matter Physics (438 citations), Polymers and Plastics (478 citations), Electronic, Optical and Magnetic Materials (347 citations), Molecular Medicine (82 citations) and Infectious Diseases (287 citations). Jun Sakai has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Tetsuya Taima, Kazuhiro Saito, Toshihiro Yamanari, Takuya Mino, Takayoshi Takano, Kenji Tsubaki, Hideki Hirayama, Norimichi Noguchi, Shigefumi Maesaki and Kenji Kawano. Their work appears in journals such as Japanese Journal of Applied Physics, Journal of Cardiovascular Electrophysiology, Solar Energy Materials and Solar Cells, Journal of Medical Microbiology and Translational Vision Science & Technology.

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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