Hideji Murakoshi
Impact in
- Biophysics top 0.2%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 2%
Papers in
- Biophysics 12
- Advanced Fluorescence Microscopy Techniques 12
- Co-authors
- Takahiro FujiwaraAkihiro KusumiRyohei YasudaKen RitchieKenichi SuzukiHong WangKen JacobsonK. Murase
- Journals
- Scientific Reports (5 papers)Neuron (3 papers)Nature Communications (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hideji Murakoshi
36 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Biophysics 833
- Structural Biology 105
- Cellular and Molecular Neuroscience 1.2k
- Neurology 512
- Developmental Neuroscience 252
Countries citing papers authored by Hideji Murakoshi
This map shows the geographic impact of Hideji Murakoshi'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 Hideji Murakoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideji Murakoshi more than expected).
Fields of papers citing papers by Hideji Murakoshi
This network shows the impact of papers produced by Hideji Murakoshi. 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 Hideji Murakoshi. The network helps show where Hideji Murakoshi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hideji Murakoshi, 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 | 2023 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 48 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 79 | |
| 10 | 2017 | 7 | |
| 11 | 内因性CaMKII必要の速度論光遺伝学的キナーゼ阻害剤により明らかにされたシナプス可塑性【Powered by NICT】 | 2017 | 28 |
| 12 | 2017 | 25 | |
| 13 | 2016 | 137 | |
| 14 | 2016 | 41 | |
| 15 | 2016 | 164 | |
| 16 | 2015 | 44 | |
| 17 | 2015 | 8 | |
| 18 | 2005 | 125 | |
| 19 | 2004 | 302 | |
| 20 | 2004 | 349 |
About Hideji Murakoshi
Hideji Murakoshi is a scholar working on Structural Biology, Biophysics, Cellular and Molecular Neuroscience, Aging and Developmental Neuroscience, having authored 37 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Advanced Fluorescence Microscopy Techniques (12 papers), Photoreceptor and optogenetics research (9 papers), Lipid Membrane Structure and Behavior (7 papers), Retinal Development and Disorders (6 papers), Cellular Mechanics and Interactions (4 papers), Force Microscopy Techniques and Applications (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Biophysics (833 citations), Structural Biology (105 citations), Cellular and Molecular Neuroscience (1.2k citations), Neurology (512 citations) and Developmental Neuroscience (252 citations). Hideji Murakoshi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takahiro Fujiwara, Akihiro Kusumi, Ryohei Yasuda, Ken Ritchie, Kenichi Suzuki, Hong Wang, Ken Jacobson, K. Murase, Rinshi S. Kasai and Chieko Nakada. Their work appears in journals such as Scientific Reports, Neuron, Nature Communications, Nature and Proceedings of the National Academy of Sciences.
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.