Hidehiro Kubota

681 citations
18 papers · 558 · h-index 8

Impact in

Papers in

Hidehiro Kubota

18 papers receiving 547 citations

Peers

Hidehiro Kubota
Comparison fields: 5 of 77
  • Biophysics 77
  • Cellular and Molecular Neuroscience 227
  • Molecular Biology 438
  • Biomedical Engineering 184
  • Bioengineering 16
Replace Toshiteru Enomoto with:
Toshiteru Enomoto Japan
Tsutomu Irie Japan
Rachelle A. Magyar United States
Taras Redchuk United States
Rui Fontes Portugal
Aleksandra S. Tsarkova Russia
Shinya Tahara Japan
Zinaida M. Kaskova Russia
Danielle M. Fontaine United States
Karen S. Sarkisyan Russia
Hidehiro Kubota relative to Toshiteru Enomoto Japan Toshiteru Enomoto's profile →
Citations per field
00.5×1.5×
Toshiteru Enomoto · 1×
Citations per year

Countries citing papers authored by Hidehiro Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiro Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2007287
2 200574
3 200748
4 201733
5 201132
6 199221
7 201513
8 201811
9 19906
10 20235
11 19875
12 20165
13 20165
14 20204
15
Spectral Image Using Imaging Spectrometer
20003
16 19913
17 20172
18
[Analysis of electrophoretic pattern with CCD camera].
19991

About Hidehiro Kubota

Hidehiro Kubota is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 18 papers that have together received 558 indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (9 papers), solar cell performance optimization (4 papers), Silicon and Solar Cell Technologies (4 papers), Biosensors and Analytical Detection (3 papers), Photoreceptor and optogenetics research (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Biophysics (77 citations), Cellular and Molecular Neuroscience (227 citations), Molecular Biology (438 citations), Biomedical Engineering (184 citations) and Bioengineering (16 citations). Hidehiro Kubota has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Yoshihiro Ohmiya, Toshiteru Enomoto, Hidefumi Akiyama, Nobuyuki Yamada, Tsutomu Irie, Kazuki Niwa, Yoriko Ando, Takuma Kimura, Yoshihiro Nakajima and Masaaki Ikeda. Their work appears in journals such as BioTechniques, Electrophoresis, Photochemistry and Photobiology, The Journal of Biochemistry and The Journal of Organic Chemistry.

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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