Jun Ohta

6.0k citations
407 papers · 4.2k · h-index 33

Impact in

Papers in

Jun Ohta

365 papers receiving 4.1k citations

Peers

Jun Ohta
Comparison fields: 5 of 144
  • Cellular and Molecular Neuroscience 1.5k
  • Biophysics 296
  • Acoustics and Ultrasonics 38
  • Bioengineering 216
  • Electrical and Electronic Engineering 2.1k
Replace Liangyi Chen with:
Liangyi Chen China
Euisik Yoon United States
Satoru Kato Japan
Vivek J. Srinivasan United States
David R. S. Cumming United Kingdom
Ling Fu China
Peter Köhl United Kingdom
Daniel Côté Canada
Takashi Tokuda Japan
Wei Liu China
Jun Ohta relative to Liangyi Chen China Liangyi Chen's profile →
Citations per field
00.5×10×13.5×
Liangyi Chen · 1×
Citations per year

Countries citing papers authored by Jun Ohta

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ohta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 407 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002170
2 2010155
3 2006151
4 200591
5 200288
6 199484
7 199576
8 200671
9 200769
10 200965
11 199753
12 200947
13 200647
14 201346
15 200246
16 200944
17 201843
18 200443
19 202442
20 198941

About Jun Ohta

Jun Ohta is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Biophysics, having authored 407 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (189 papers), CCD and CMOS Imaging Sensors (127 papers), Advanced Memory and Neural Computing (101 papers), Photoreceptor and optogenetics research (92 papers), EEG and Brain-Computer Interfaces (43 papers), Analytical Chemistry and Sensors (33 papers), Advanced Fluorescence Microscopy Techniques (32 papers) and Neural dynamics and brain function (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Biophysics (296 citations), Acoustics and Ultrasonics (38 citations), Bioengineering (216 citations) and Electrical and Electronic Engineering (2.1k citations). Jun Ohta has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Takashi Tokuda, Kiyotaka Sasagawa, Toshihiko Noda, Masahiro Nunoshita, Kazuo Kyuma, Makito Haruta, Keiichiro Kagawa, Yasumi Ohta, Hironari Takehara and Sadao Shiosaka. Their work appears in journals such as Japanese Journal of Applied Physics, Electronics Letters, IEEE Transactions on Electron Devices, Sensors and Actuators A Physical and Sensors.

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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