Jun Okuno

1.1k citations
30 papers · 791 · h-index 13

Impact in

Papers in

Jun Okuno

30 papers receiving 758 citations

Peers

Jun Okuno
Comparison fields: 5 of 75
  • Family Practice 24
  • Electrochemistry 85
  • Bioengineering 58
  • Geriatrics and Gerontology 26
  • Electrical and Electronic Engineering 477
Replace Cherie S. Tan with:
Cherie S. Tan China
Kazutaka Baba Japan
Deniz Sadighbayan Canada
Chi Kwong Tang United States
Ying-Feng Chang Taiwan
Shenglin Cai China
David B. Talley United States
Shuhua Wei China
Lloyd P. Horne United States
Jun Okuno relative to Cherie S. Tan China Cherie S. Tan's profile →
Citations per field
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Cherie S. Tan · 1×
Citations per year

Countries citing papers authored by Jun Okuno

Since Specialization
Citations

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

Fields of papers citing papers by Jun Okuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006265
2 202098
3 200667
4 202157
5 199950
6 202146
7 201237
8 201724
9 202222
10 202020
11 202315
12 202313
13 201912
14 199910
15 20019
16 20228
17 20226
18 20216
19 20164
20 20214

About Jun Okuno

Jun Okuno is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cancer Research, Oncology and Molecular Biology, having authored 30 papers that have together received 791 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (9 papers), Advanced Memory and Neural Computing (9 papers), Breast Cancer Treatment Studies (5 papers), Ferroelectric and Piezoelectric Materials (5 papers), Electrochemical sensors and biosensors (3 papers), HER2/EGFR in Cancer Research (3 papers), MXene and MAX Phase Materials (3 papers) and Semiconductor Quantum Structures and Devices (2 papers). The work is most often cited by research in Family Practice (24 citations), Electrochemistry (85 citations), Bioengineering (58 citations), Geriatrics and Gerontology (26 citations) and Electrical and Electronic Engineering (477 citations). Jun Okuno has collaborated with scholars based in Japan, Germany and Australia. Frequent co-authors include Yuzuru Takamura, Kenzo Maehashi, Kağan Kerman, Eiichi Tamiya, Kazuhiko Matsumoto, Taku Umebayashi, Thomas Mikolajick, Konrad Seidel, Uwe Schroeder and Masanori Tsukamoto. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Oncology, Breast Cancer, Annals of Surgical Oncology and Anticancer Research.

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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