Jun Okuno

1.0k citations
29 papers · 720 · h-index 13

Impact in

Papers in

Jun Okuno

28 papers receiving 694 citations

Peers

Jun Okuno
Comparison fields: 5 of 78
  • Family Practice 31
  • Electrochemistry 79
  • Bioengineering 51
  • Geriatrics and Gerontology 32
  • Electrical and Electronic Engineering 434
Replace Ayesha Aziz with:
Ayesha Aziz China
Han Young Lee South Korea
Shenglin Cai China
Arvi Hakanen Finland
Ying-Feng Chang Taiwan
Lloyd P. Horne United States
David B. Talley United States
Mukesh Digambar Sonawane South Korea
Don Saner United States
Tony Cass United Kingdom
Jun Okuno relative to Ayesha Aziz China Ayesha Aziz's profile →
Citations per field
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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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006243
2 202093
3 200664
4 202152
5 199949
6 202142
7 201234
8 201720
9 202218
10 202017
11 201912
12 202312
13 202312
14 199910
15 20226
16 20216
17 20226
18 20214
19 20064
20 20164

About Jun Okuno

Jun Okuno is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Cancer Research, Oncology and Molecular Biology, having authored 29 papers that have together received 720 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (9 papers), Advanced Memory and Neural Computing (9 papers), Ferroelectric and Piezoelectric Materials (5 papers), Breast Cancer Treatment Studies (4 papers), HER2/EGFR in Cancer Research (4 papers), Electrochemical sensors and biosensors (3 papers), MXene and MAX Phase Materials (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Family Practice (31 citations), Electrochemistry (79 citations), Bioengineering (51 citations), Geriatrics and Gerontology (32 citations) and Electrical and Electronic Engineering (434 citations). Jun Okuno has collaborated with scholars based in Japan, Germany and Australia. Frequent co-authors include Yuzuru Takamura, Kenzo Maehashi, Eiichi Tamiya, Kağan Kerman, Kazuhiko Matsumoto, Thomas Mikolajick, Masanori Tsukamoto, Konrad Seidel, Uwe Schroeder and Taku Umebayashi. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Annals of Surgical Oncology, Breast Cancer, Oncology and Applied Physics Letters.

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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