Masaki Warashina
- Molecular Biology top 5%
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Genetics top 10%
- Physiology
- Co-authors
- Tomoko KuwabaraKazunari TairaMakoto AsashimaFred H. GageKinichi NakashimaJenny HsiehAlysson R. MuotriG Yeo
- Topics
- RNA and protein synthesis mechanisms (29 papers)Advanced biosensing and bioanalysis techniques (23 papers)RNA modifications and cancer (14 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Masaki Warashina
49 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.4k
- Developmental Neuroscience 313
- Cellular and Molecular Neuroscience 252
- Genetics 206
- Physiology 130
Countries citing papers authored by Masaki Warashina
This map shows the geographic impact of Masaki Warashina'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 Warashina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Warashina more than expected).
Fields of papers citing papers by Masaki Warashina
This network shows the impact of papers produced by Masaki Warashina. 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 Warashina. The network helps show where Masaki Warashina may publish in the future.
Co-authorship network of co-authors of Masaki Warashina
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Warashina. A scholar is included among the top collaborators of Masaki Warashina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaki Warashina. Masaki Warashina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 112 | |
| 3 | 25 | |
| 4 | 38 | |
| 5 | Wnt-mediated activation of NeuroD1 and retro-elements during adult neurogenesisbreakdown → | 505 |
| 6 | 83 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | Characterization in Terms of the NUX Rule of G - inserted Mutant Hammerhead Ribozymes with High Level of Catalytic Power | 1 |
| 10 | 66 | |
| 11 | 7 | |
| 12 | MAXIZYMEs: Allosterically controllable ribozymes with biosensor functions | 1 |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 62 | |
| 17 | 1 | |
| 18 | 49 | |
| 19 | 96 | |
| 20 | 23 |
About Masaki Warashina
Masaki Warashina is a scholar working on Molecular Biology, Developmental Neuroscience and Hematology, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (29 papers), Advanced biosensing and bioanalysis techniques (23 papers) and RNA modifications and cancer (14 papers). The work is most often cited by research in Developmental Neuroscience (313 citations), Molecular Biology (1.4k citations) and Cellular and Molecular Neuroscience (252 citations). Masaki Warashina has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Tomoko Kuwabara, Kazunari Taira, Makoto Asashima, Fred H. Gage, Kinichi Nakashima, Jenny Hsieh, Alysson R. Muotri, G Yeo, D. Chichung Lie and Shigetaka Asano. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.