Naoki Shibata

3.4k citations
49 papers · 2.7k indexed · 1 hit paper · h-index 20
Topics
GaN-based semiconductor devices and materials (32 papers)Ga2O3 and related materials (12 papers)ZnO doping and properties (10 papers)
Partner nations
JapanItalyAustralia

In The Last Decade

Naoki Shibata

46 papers receiving 2.7k citations

Hit Papers

DMY is a Y-specific DM-domain gene required for male deve...200220262010201820022505007501000

Peers

Naoki Shibata
Comparison fields: 5 of 103
  • Genetics 1.6k
  • Physiology 941
  • Condensed Matter Physics 863
  • Electrical and Electronic Engineering 522
  • Reproductive Medicine 471
Replace S. Hosoya with:
S. Hosoya Japan
Tetsuya Hirano Japan
Kaori Sano Japan
Jinping Luo China
Wataru Kobayashi Japan
Wuhui Li China
Yoshiki Kato Japan
Charlotte K. Omoto United States
Chikako Shingyoji Japan
Adán Guerrero Mexico
Naoki Shibata relative to S. Hosoya Japan S. Hosoya's profile →
Citations per field
00.5×10×15×20.9×
S. Hosoya · 1×
Citations per year

Countries citing papers authored by Naoki Shibata

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Shibata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Shibata

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 1
5 1
6 8
7 20
8 8
9 97
10 255
11 1
12
DMY is a Y-specific DM-domain gene required for male development in the medaka fishbreakdown →
1134
13 11
14 166
15 30
16
Low resistance Ta/Ti Ohmic contacts for p-type GaN
1
17 9
18 49
19 81
20
Electron microscopic study of the blood-testis barrier in the teleost, Oryzias latipes
14

About Naoki Shibata

Naoki Shibata is a scholar working on Condensed Matter Physics, Physiology and Electronic, Optical and Magnetic Materials, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include GaN-based semiconductor devices and materials (32 papers), Ga2O3 and related materials (12 papers) and ZnO doping and properties (10 papers). The work is most often cited by research in Physiology (941 citations), Condensed Matter Physics (863 citations) and Genetics (1.6k citations). Naoki Shibata has collaborated with scholars based in Japan, Italy and Australia. Frequent co-authors include Yoshitaka Nagahama, Masaru Matsuda, Tohru Kobayashi, Ai Shinomiya, Hiroshi Hori, Shuichi Asakawa, Mitsuru Sakaizumi, Tadashi Sato, Nobuyoshi Shimizu and Satoshi Hamaguchi. Their work appears in journals such as Nature, Applied Physics Letters and PLoS ONE.

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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