Makito Haruta
- Acoustics and Ultrasonics top 5%
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques 16
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- Neuroscience and Neural Engineering 46
- Photoreceptor and optogenetics research 32
- Bioengineering top 10%
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- CCD and CMOS Imaging Sensors 23
- Advanced Memory and Neural Computing 12
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- EEG and Brain-Computer Interfaces 12
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- Optical Imaging and Spectroscopy Techniques 9
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- Optical Coherence Tomography Applications 7
- Co-authors
- Kiyotaka SasagawaJun OhtaTakashi TokudaToshihiko NodaHironari TakeharaYasumi OhtaHiroaki TakeharaHiroyuki Tashiro
- Journals
- Proceedings of the IEEE (1 paper)Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Makito Haruta
86 papers receiving 648 citations
Peers
Comparison fields: 5 of 82
- Acoustics and Ultrasonics 30
- Biophysics 142
- Cellular and Molecular Neuroscience 302
- Bioengineering 41
- Instrumentation 18
Countries citing papers authored by Makito Haruta
This map shows the geographic impact of Makito Haruta'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 Makito Haruta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makito Haruta more than expected).
Fields of papers citing papers by Makito Haruta
This network shows the impact of papers produced by Makito Haruta. 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 Makito Haruta. The network helps show where Makito Haruta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makito Haruta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 0 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 8 | |
| 19 | 2018 | 3 | |
| 20 | 2013 | 10 |
About Makito Haruta
Makito Haruta is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Acoustics and Ultrasonics, having authored 98 papers that have together received 660 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (46 papers), Photoreceptor and optogenetics research (32 papers), CCD and CMOS Imaging Sensors (23 papers), Advanced Fluorescence Microscopy Techniques (16 papers), Advanced Memory and Neural Computing (12 papers), EEG and Brain-Computer Interfaces (12 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and Optical Coherence Tomography Applications (7 papers). The work is most often cited by research in Acoustics and Ultrasonics (30 citations), Biophysics (142 citations) and Cellular and Molecular Neuroscience (302 citations). Makito Haruta has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kiyotaka Sasagawa, Jun Ohta, Takashi Tokuda, Toshihiko Noda, Hironari Takehara, Yasumi Ohta, Hiroaki Takehara, Hiroyuki Tashiro, Mayumi Motoyama and Takahiro Yamaguchi. Their work appears in journals such as Proceedings of the IEEE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.