Masaki Nomura
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Developmental Neuroscience top 10%
Papers in
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- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 7
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- Neural dynamics and brain function 9
- Co-authors
- Toshio Aoyagi (7 shared papers)Misato Nishikawa (3 shared papers)Keisuke Okita (3 shared papers)Yoshinori Yoshida (4 shared papers)Yoshiyuki Kubota (4 shared papers)Yasuo Kawaguchi (4 shared papers)Fuyuki Karube (4 shared papers)Huaigeng Xu (3 shared papers)
- Journals
- Cell stem cell (3 papers)Stem Cells Translational Medicine (2 papers)Physical Review Letters (2 papers)Nature Communications (1 paper)iScience (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masaki Nomura
25 papers receiving 1.4k citations
Masaki Nomura's Hit Papers
Peers
Comparison fields: 5 of 87
- Cellular and Molecular Neuroscience 359
- Developmental Neuroscience 62
- Cognitive Neuroscience 236
- Molecular Biology 809
- Aging 19
Countries citing papers authored by Masaki Nomura
This map shows the geographic impact of Masaki Nomura'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 Masaki Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Nomura more than expected).
Fields of papers citing papers by Masaki Nomura
This network shows the impact of papers produced by Masaki Nomura. 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 Masaki Nomura. The network helps show where Masaki Nomura may publish in the future.
Co-authors
The 25 scholars most cited alongside Masaki Nomura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibility Hit paper breakdown → | 2019 | 428 |
| 2 | 2020 | 228 | |
| 3 | 2016 | 166 | |
| 4 | 2016 | 100 | |
| 5 | CRISPR-Cas9を介するHLA遺伝子の標的化破壊は免疫適合性を増強したIPSCを生成する【JST・京大機械翻訳】 | 2019 | 71 |
| 6 | 2003 | 66 | |
| 7 | 2015 | 58 | |
| 8 | 2011 | 44 | |
| 9 | 2022 | 43 | |
| 10 | 2024 | 36 | |
| 11 | 2009 | 31 | |
| 12 | 2022 | 25 | |
| 13 | 2018 | 20 | |
| 14 | 2013 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2024 | 14 | |
| 17 | 2022 | 14 | |
| 18 | 2025 | 10 | |
| 19 | 1999 | 10 | |
| 20 | 2013 | 4 |
About Masaki Nomura
Masaki Nomura is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Neural dynamics and brain function (9 papers), CRISPR and Genetic Engineering (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroscience and Neural Engineering (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), stochastic dynamics and bifurcation (3 papers) and Corneal Surgery and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (359 citations), Developmental Neuroscience (62 citations), Cognitive Neuroscience (236 citations), Molecular Biology (809 citations) and Aging (19 citations). Masaki Nomura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshio Aoyagi, Misato Nishikawa, Keisuke Okita, Yoshinori Yoshida, Yoshiyuki Kubota, Yasuo Kawaguchi, Fuyuki Karube, Huaigeng Xu, Akitsu Hotta and Fumiyo Kitaoka. Their work appears in journals such as Cell stem cell, Stem Cells Translational Medicine, Physical Review Letters, Nature Communications and iScience.
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.