Shintaro Iwasaki

7.7k total citations
154 papers, 5.3k citations indexed

About

Shintaro Iwasaki is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Shintaro Iwasaki has authored 154 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 14 papers in Organic Chemistry and 14 papers in Genetics. Recurrent topics in Shintaro Iwasaki's work include RNA and protein synthesis mechanisms (44 papers), RNA modifications and cancer (39 papers) and RNA Research and Splicing (38 papers). Shintaro Iwasaki is often cited by papers focused on RNA and protein synthesis mechanisms (44 papers), RNA modifications and cancer (39 papers) and RNA Research and Splicing (38 papers). Shintaro Iwasaki collaborates with scholars based in Japan, United States and Germany. Shintaro Iwasaki's co-authors include Yukihide Tomari, Nicholas T. Ingolia, Tsutomu Suzuki, Tomoko Kawamata, Atsushi Takeda, Mayuko Yoda, Yuichiro Watanabe, Yuriko Sakaguchi, Stephen N. Floor and Yuichi Shichino and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shintaro Iwasaki

146 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shintaro Iwasaki Japan 36 3.8k 986 687 290 256 154 5.3k
Parry Guilford New Zealand 42 4.5k 1.2× 890 0.9× 765 1.1× 117 0.4× 1.2k 4.8× 95 7.8k
Carolyn A. Worby United States 31 3.7k 1.0× 305 0.3× 287 0.4× 56 0.2× 283 1.1× 56 5.7k
Christian Cole United Kingdom 20 3.8k 1.0× 599 0.6× 524 0.8× 18 0.1× 328 1.3× 49 5.3k
Yoshikazu Nakamura Japan 45 4.4k 1.2× 377 0.4× 232 0.3× 53 0.2× 421 1.6× 166 6.3k
Michael D. Griswold United States 37 4.5k 1.2× 264 0.3× 295 0.4× 63 0.2× 251 1.0× 74 6.8k
Julia Christina Gross Germany 29 2.3k 0.6× 724 0.7× 76 0.1× 35 0.1× 230 0.9× 59 3.3k
Anna‐Maria Frischauf United Kingdom 32 5.5k 1.5× 304 0.3× 931 1.4× 128 0.4× 771 3.0× 59 7.7k
Marc R. Fabian Canada 31 5.8k 1.6× 3.3k 3.3× 714 1.0× 18 0.1× 239 0.9× 58 7.4k
Timothy W. Nilsen United States 45 6.8k 1.8× 1.5k 1.5× 735 1.1× 16 0.1× 361 1.4× 134 8.6k
A. Francis Stewart Germany 44 5.2k 1.4× 352 0.4× 384 0.6× 20 0.1× 246 1.0× 98 6.2k

Countries citing papers authored by Shintaro Iwasaki

Since Specialization
Citations

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

Fields of papers citing papers by Shintaro Iwasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shintaro Iwasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Shintaro Iwasaki. A scholar is included among the top collaborators of Shintaro Iwasaki 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 Shintaro Iwasaki. Shintaro Iwasaki 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.
Schneider‐Poetsch, Tilman, Yongjun Dang, W. Iwasaki, et al.. (2025). Girolline is a sequence context-selective modulator of eIF5A activity. Nature Communications. 16(1). 223–223.
2.
Iwasaki, W., Kazuhiro Kashiwagi, Ayako Sakamoto, et al.. (2025). Structural insights into the role of eIF3 in translation mediated by the HCV IRES. Proceedings of the National Academy of Sciences. 122(49). e2505538122–e2505538122.
3.
Kumakura, Naoyoshi, Suthitar Singkaravanit‐Ogawa, Pamela Gan, et al.. (2024). Guanosine‐specific single‐stranded ribonuclease effectors of a phytopathogenic fungus potentiate host immune responses. New Phytologist. 242(1). 170–191.
4.
Okamatsu‐Ogura, Yuko, Saori Yokoi, Mari Mito, et al.. (2024). The essential role of architectural noncoding RNANeat1in cold-induced beige adipocyte differentiation in mice. RNA. 30(8). 1011–1024. 4 indexed citations
5.
Ichinose, Toshiharu, Shu Kondo, Yuichi Shichino, et al.. (2024). Translational regulation enhances distinction of cell types in the nervous system. eLife. 12. 1 indexed citations
6.
Mito, Mari, Takahito Miyake, Masao Doi, et al.. (2024). Calibrated ribosome profiling assesses the dynamics of ribosomal flux on transcripts. Nature Communications. 15(1). 7061–7061. 8 indexed citations
7.
Suzuki, Eriko, et al.. (2024). miRNA-mediated gene silencing in Drosophila larval development involves GW182-dependent and independent mechanisms. The EMBO Journal. 43(23). 6161–6179. 2 indexed citations
8.
Kumakura, Naoyoshi, Hironori Saito, Ryan Muller, et al.. (2023). A parasitic fungus employs mutated eIF4A to survive on rocaglate-synthesizing Aglaia plants. eLife. 12. 13 indexed citations
9.
Matsumoto, Akinobu, Taishi Yamamoto, Takeshi Yokoyama, et al.. (2023). RPL3L-containing ribosomes determine translation elongation dynamics required for cardiac function. Nature Communications. 14(1). 2131–2131. 14 indexed citations
10.
Yoshida, Minoru, et al.. (2022). Filter trapping protocol to detect aggregated proteins in human cell lines. STAR Protocols. 3(3). 101571–101571. 4 indexed citations
11.
Suzuki, Eriko, Tadahiro Shimazu, Mari Takahashi, et al.. (2022). METTL18-mediated histidine methylation of RPL3 modulates translation elongation for proteostasis maintenance. eLife. 11. 18 indexed citations
12.
Makino, Shiho, Tomoko Kawamata, Shintaro Iwasaki, & Yoshinori Ohsumi. (2021). Selectivity of mRNA degradation by autophagy in yeast. Nature Communications. 12(1). 2316–2316. 39 indexed citations
13.
Chadani, Yuhei, et al.. (2021). Nascent polypeptide within the exit tunnel stabilizes the ribosome to counteract risky translation. The EMBO Journal. 40(23). e108299–e108299. 17 indexed citations
14.
Kashiwagi, Kazuhiro, Yuichi Shichino, Tatsuya Osaki, et al.. (2021). eIF2B-capturing viral protein NSs suppresses the integrated stress response. Nature Communications. 12(1). 7102–7102. 27 indexed citations
15.
Matsumoto, Akinobu, Hiroshi Nishida, Hideyuki Shimizu, et al.. (2021). Combinatorial analysis of translation dynamics reveals eIF2 dependence of translation initiation at near-cognate codons. Nucleic Acids Research. 49(13). 7298–7317. 21 indexed citations
16.
Chen, Mingming, Miwako Asanuma, Mari Takahashi, et al.. (2020). Dual targeting of DDX3 and eIF4A by the translation inhibitor rocaglamide A. Cell chemical biology. 28(4). 475–486.e8. 45 indexed citations
17.
Hia, Fabian, Yuichi Shichino, Masanori Yoshinaga, et al.. (2019). Codon bias confers stability to human mRNA s. EMBO Reports. 20(11). 104 indexed citations
18.
Kurihara, Yukio, Yuko Makita, Mika Kawashima, et al.. (2018). Transcripts from downstream alternative transcription start sites evade uORF-mediated inhibition of gene expression in Arabidopsis. Proceedings of the National Academy of Sciences. 115(30). 7831–7836. 74 indexed citations
19.
Akichika, Shinichiro, Seiichi Hirano, Yuichi Shichino, et al.. (2018). Cap-specific terminal N 6 -methylation of RNA by an RNA polymerase II–associated methyltransferase. Science. 363(6423). 282 indexed citations
20.
Iwasaki, Shintaro, M Takahashi, Ken Miyata, Koichi Sakata, & Kan Kobayashi. (1984). [Scanning electron microscopy studies of the dorsal epithelial surface of the tongue in the mongoose, Herpestes edwardsi].. PubMed. 71(6). 1087–94. 7 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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