Masayuki Sakurai
- Molecular Biology top 5%
- RNA regulation and disease 18
- RNA Research and Splicing 16
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 11
- CRISPR and Genetic Engineering 4
- Cancer Research top 10%
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- Viral Infections and Immunology Research 4
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- Advanced Fiber Optic Sensors 4
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- Polymer Nanocomposites and Properties 3
- Co-authors
- Kazuko NishikuraTsutomu SuzukiHiroki UedaKentaro AriyoshiShunpei OkadaYusuke ShiromotoHitomi KawabataTakanori Yano
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masayuki Sakurai
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.3k
- Cancer Research 286
- Immunology 137
- Cardiology and Cardiovascular Medicine 99
- Biological Psychiatry 6
Countries citing papers authored by Masayuki Sakurai
This map shows the geographic impact of Masayuki Sakurai'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 Masayuki Sakurai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Sakurai more than expected).
Fields of papers citing papers by Masayuki Sakurai
This network shows the impact of papers produced by Masayuki Sakurai. 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 Masayuki Sakurai. The network helps show where Masayuki Sakurai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Sakurai, 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 | 2022 | 38 | |
| 2 | 2021 | 85 | |
| 3 | 2020 | 3 | |
| 4 | 2017 | 121 | |
| 5 | 2016 | 59 | |
| 6 | 2015 | 70 | |
| 7 | 2014 | 115 | |
| 8 | 2013 | 289 | |
| 9 | 2011 | 20 | |
| 10 | 2010 | 73 | |
| 11 | 2010 | 161 | |
| 12 | 2006 | 7 | |
| 13 | 2005 | 14 | |
| 14 | 2005 | 40 | |
| 15 | 2005 | 20 | |
| 16 | Numerical Simulation of Time Dependent Double Diffusive Natural Convection in a Stably Stratified Fluid under Partial Heating Boundary Condition for a Circular Cavity | 2003 | 1 |
| 17 | 1998 | 37 | |
| 18 | 1997 | 1 | |
| 19 | 1993 | 2 | |
| 20 | A Basic Study on the Application of Hydrogel Membrane to a Sensor for Measuring Large Strain | 1989 | 2 |
About Masayuki Sakurai
Masayuki Sakurai is a scholar working on Polymers and Plastics, Molecular Biology and Statistical and Nonlinear Physics, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA regulation and disease (18 papers), RNA Research and Splicing (16 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (11 papers), Advanced Fiber Optic Sensors (4 papers), CRISPR and Genetic Engineering (4 papers), Viral Infections and Immunology Research (4 papers) and Polymer Nanocomposites and Properties (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (286 citations) and Immunology (137 citations). Masayuki Sakurai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuko Nishikura, Tsutomu Suzuki, Hiroki Ueda, Kentaro Ariyoshi, Shunpei Okada, Yusuke Shiromoto, Hitomi Kawabata, Takanori Yano, Louis Valente and Ramana V. Davuluri.
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.