Hirohide Saito

4.0k total citations
91 papers, 2.6k citations indexed

About

Hirohide Saito is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Hirohide Saito has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Biomedical Engineering. Recurrent topics in Hirohide Saito's work include RNA and protein synthesis mechanisms (53 papers), CRISPR and Genetic Engineering (38 papers) and Advanced biosensing and bioanalysis techniques (32 papers). Hirohide Saito is often cited by papers focused on RNA and protein synthesis mechanisms (53 papers), CRISPR and Genetic Engineering (38 papers) and Advanced biosensing and bioanalysis techniques (32 papers). Hirohide Saito collaborates with scholars based in Japan, United States and Switzerland. Hirohide Saito's co-authors include Tan Inoue, Yoshihiko Fujita, Karin Hayashi, Hirohisa Ohno, Kei Endo, Satoshi Murata, Satoshi Kobayashi, Masami Hagiya, Akihiko Konagaya and Shunnichi Kashida and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Hirohide Saito

85 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hirohide Saito Japan 30 2.3k 331 227 170 134 91 2.6k
Yongdae Shin South Korea 15 3.3k 1.4× 227 0.7× 155 0.7× 84 0.5× 122 0.9× 28 4.0k
Ismail M. Hafez Canada 16 2.5k 1.1× 412 1.2× 270 1.2× 70 0.4× 223 1.7× 22 3.1k
Tobias Wauer United Kingdom 9 2.3k 1.0× 287 0.9× 113 0.5× 168 1.0× 206 1.5× 9 2.7k
Mihály Kovács Hungary 30 2.0k 0.9× 297 0.9× 134 0.6× 57 0.3× 87 0.6× 75 3.2k
Rivka Adar Israel 28 2.2k 1.0× 315 1.0× 302 1.3× 100 0.6× 254 1.9× 37 2.6k
Allen P. Liu United States 31 2.0k 0.9× 1.0k 3.2× 187 0.8× 118 0.7× 53 0.4× 121 3.6k
Bram van den Broek Netherlands 24 1.1k 0.5× 279 0.8× 160 0.7× 98 0.6× 71 0.5× 42 1.6k
David Pastré France 28 1.6k 0.7× 266 0.8× 96 0.4× 100 0.6× 48 0.4× 74 2.3k
Nicholas Ariotti Australia 33 2.4k 1.0× 271 0.8× 78 0.3× 34 0.2× 213 1.6× 66 3.5k
Tae‐Young Yoon South Korea 30 1.8k 0.8× 538 1.6× 88 0.4× 39 0.2× 87 0.6× 90 3.0k

Countries citing papers authored by Hirohide Saito

Since Specialization
Citations

This map shows the geographic impact of Hirohide Saito'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 Hirohide Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirohide Saito more than expected).

Fields of papers citing papers by Hirohide Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hirohide Saito. 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 Hirohide Saito. The network helps show where Hirohide Saito may publish in the future.

Co-authorship network of co-authors of Hirohide Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Hirohide Saito. A scholar is included among the top collaborators of Hirohide Saito 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 Hirohide Saito. Hirohide Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sahoo, Bikash R., Nathan Clark, Harry Yang, et al.. (2025). Visualization of liquid-liquid phase transitions using a tiny G-quadruplex binding protein. Nature Communications. 16(1). 8578–8578. 1 indexed citations
2.
3.
Ohno, Hirohisa, et al.. (2025). Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression. Nature Communications. 16(1). 5362–5362.
4.
Onizuka, Kazumitsu, et al.. (2024). Large-scale analysis of small molecule-RNA interactions using multiplexed RNA structure libraries. Communications Chemistry. 7(1). 98–98. 9 indexed citations
5.
Onizuka, Kazumitsu, et al.. (2024). Crystallographic analysis of G-clamp–RNA complex assisted by large scale RNA-binding profile. Chemical Communications. 61(6). 1120–1123. 1 indexed citations
6.
Generali, Melanie, Yoshihiko Fujita, Debora Kehl, et al.. (2024). Purification technologies for induced pluripotent stem cell therapies. Nature Reviews Bioengineering. 2(11). 930–943. 3 indexed citations
7.
Ono, Hiroki, et al.. (2023). Programmable mammalian translational modulators by CRISPR-associated proteins. Nature Communications. 14(1). 2243–2243. 11 indexed citations
8.
Ono, Hiroki & Hirohide Saito. (2023). Sensing intracellular signatures with synthetic mRNAs. RNA Biology. 20(1). 588–602. 4 indexed citations
9.
Ohno, Hirohisa, et al.. (2023). Versatile strategy using vaccinia virus-capping enzyme to synthesize functional 5′ cap-modified mRNAs. Nucleic Acids Research. 51(6). e34–e34. 15 indexed citations
10.
Saito, Hirohide, et al.. (2022). Synthetic RNA-based post-transcriptional expression control methods and genetic circuits. Advanced Drug Delivery Reviews. 184. 114196–114196. 9 indexed citations
11.
Nakanishi, Hideyuki, et al.. (2021). Light-controllable RNA-protein devices for translational regulation of synthetic mRNAs in mammalian cells. Cell chemical biology. 28(5). 662–674.e5. 20 indexed citations
12.
Ono, Hiroki, et al.. (2020). RNA and protein-based nanodevices for mammalian post-transcriptional circuits. Current Opinion in Biotechnology. 63. 99–110. 12 indexed citations
13.
Kashida, Shunnichi, Dan Ohtan Wang, Hirohide Saito, & Zoher Gueroui. (2019). Nanoparticle-based local translation reveals mRNA as a translation-coupled scaffold with anchoring function. Proceedings of the National Academy of Sciences. 116(27). 13346–13351. 4 indexed citations
14.
Shibata, T., Yoshihiko Fujita, Hirohisa Ohno, et al.. (2017). Protein-driven RNA nanostructured devices that function in vitro and control mammalian cell fate. Nature Communications. 8(1). 540–540. 41 indexed citations
15.
Kuang, Yi, Kenji Miki, Callum Parr, et al.. (2017). Efficient, Selective Removal of Human Pluripotent Stem Cells via Ecto-Alkaline Phosphatase-Mediated Aggregation of Synthetic Peptides. Cell chemical biology. 24(6). 685–694.e4. 54 indexed citations
16.
Parr, Callum, Shota Katayama, Kenji Miki, et al.. (2016). MicroRNA-302 switch to identify and eliminate undifferentiated human pluripotent stem cells. Scientific Reports. 6(1). 32532–32532. 72 indexed citations
17.
Endo, Kei, James A. Stapleton, Karin Hayashi, Hirohide Saito, & Tan Inoue. (2013). Quantitative and simultaneous translational control of distinct mammalian mRNAs. Nucleic Acids Research. 41(13). e135–e135. 32 indexed citations
18.
Ohno, Hirohisa, Tetsuhiro Kobayashi, Kei Endo, et al.. (2011). Synthetic RNA–protein complex shaped like an equilateral triangle. Nature Nanotechnology. 6(2). 116–120. 99 indexed citations
19.
Saito, Hirohide, Yoshihiko Fujita, Shunnichi Kashida, Karin Hayashi, & Tan Inoue. (2011). Synthetic human cell fate regulation by protein-driven RNA switches. Nature Communications. 2(1). 160–160. 63 indexed citations
20.
Saito, Hirohide & Tan Inoue. (2008). Synthetic biology with RNA motifs. The International Journal of Biochemistry & Cell Biology. 41(2). 398–404. 48 indexed citations

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.

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