Hiroshi Nishimasu

15.4k total citations · 7 hit papers
89 papers, 10.4k citations indexed

About

Hiroshi Nishimasu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Hiroshi Nishimasu has authored 89 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 12 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Hiroshi Nishimasu's work include CRISPR and Genetic Engineering (47 papers), RNA and protein synthesis mechanisms (36 papers) and Advanced biosensing and bioanalysis techniques (19 papers). Hiroshi Nishimasu is often cited by papers focused on CRISPR and Genetic Engineering (47 papers), RNA and protein synthesis mechanisms (36 papers) and Advanced biosensing and bioanalysis techniques (19 papers). Hiroshi Nishimasu collaborates with scholars based in Japan, United States and Canada. Hiroshi Nishimasu's co-authors include Osamu Nureki, Ryuichiro Ishitani, Feng Zhang, Patrick D. Hsu, Silvana Konermann, F. Ann Ran, Naoshi Dohmae, Soraya I. Shehata, Jonathan S. Gootenberg and Omar O. Abudayyeh and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Hiroshi Nishimasu

87 papers receiving 10.2k citations

Hit Papers

Genome-scale transcriptional activation by an engineered ... 2014 2026 2018 2022 2014 2014 2014 2016 2021 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroshi Nishimasu Japan 42 9.4k 1.4k 1.3k 882 573 89 10.4k
Julie E. Norville United States 8 8.2k 0.9× 1.8k 1.3× 911 0.7× 540 0.6× 586 1.0× 12 8.9k
Matthew H. Larson United States 14 8.2k 0.9× 2.0k 1.4× 658 0.5× 525 0.6× 515 0.9× 19 8.9k
Silvana Konermann United States 18 15.2k 1.6× 2.7k 2.0× 1.7k 1.3× 1.5k 1.7× 1.2k 2.0× 26 16.3k
Luke A. Gilbert United States 38 16.2k 1.7× 2.8k 2.0× 1.3k 1.0× 941 1.1× 1.2k 2.0× 68 18.0k
Erik J. Sontheimer United States 45 11.9k 1.3× 1.8k 1.3× 1.6k 1.2× 703 0.8× 429 0.7× 92 13.7k
Sangsu Bae South Korea 34 6.5k 0.7× 1.4k 1.0× 1.2k 0.9× 664 0.8× 430 0.8× 112 7.1k
Alexis C. Komor United States 18 9.1k 1.0× 2.5k 1.8× 1.3k 1.0× 860 1.0× 535 0.9× 41 9.9k
Michael S. Packer United States 14 8.4k 0.9× 2.3k 1.7× 1.3k 1.0× 748 0.8× 453 0.8× 18 9.0k
Aditya Raguram United States 19 6.6k 0.7× 1.9k 1.4× 1.2k 0.9× 531 0.6× 332 0.6× 23 7.2k

Countries citing papers authored by Hiroshi Nishimasu

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Nishimasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Nishimasu

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Nishimasu. A scholar is included among the top collaborators of Hiroshi Nishimasu 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 Hiroshi Nishimasu. Hiroshi Nishimasu 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.
Kannan, Soumya, et al.. (2026). Structural visualization of the molecular evolution of CRISPR–Cas9. Nature Structural & Molecular Biology. 33(2). 304–317.
2.
Azam, Aa Haeruman, Asuteka Nagao, Yoshitaka Mitsuda, et al.. (2025). Structural mechanism of the Retron-Eco7 anti-phage defense system. Nature Communications. 16(1). 10821–10821.
3.
Villiger, Lukas, Justin Lim, Masahiro Hiraizumi, et al.. (2025). Reprogramming site-specific retrotransposon activity to new DNA sites. Nature. 642(8069). 1080–1089. 8 indexed citations
4.
Hiraizumi, Masahiro, Nicholas T. Perry, Matthew G. Durrant, et al.. (2024). Structural mechanism of bridge RNA-guided recombination. Nature. 630(8018). 994–1002. 31 indexed citations
5.
Mise‐Omata, Setsuko, Makoto Ando, Tanakorn Srirat, et al.. (2023). SOCS3 deletion in effector T cells confers an anti-tumorigenic role of IL-6 to the pro-tumorigenic cytokine. Cell Reports. 42(8). 112940–112940. 7 indexed citations
6.
Strecker, Jonathan, F. Esra Demircioglu, David Li, et al.. (2022). RNA-activated protein cleavage with a CRISPR-associated endopeptidase. Science. 378(6622). 874–881. 48 indexed citations
7.
Kato, Kazuki, Sae Okazaki, Cian Schmitt-Ulms, et al.. (2022). RNA-triggered protein cleavage and cell growth arrest by the type III-E CRISPR nuclease-protease. Science. 378(6622). 882–889. 35 indexed citations
8.
Nakagawa, Ryoya, Soh Ishiguro, Sae Okazaki, et al.. (2022). Engineered Campylobacter jejuni Cas9 variant with enhanced activity and broader targeting range. Communications Biology. 5(1). 211–211. 25 indexed citations
9.
Lim, Jung Min, Seonwoo Min, Dong Young Kim, et al.. (2021). Generation of a more efficient prime editor 2 by addition of the Rad51 DNA-binding domain. Nature Communications. 12(1). 5617–5617. 65 indexed citations
10.
Oura, Seiya, Taichi Noda, Naoko Morimura, et al.. (2021). Precise CAG repeat contraction in a Huntington’s Disease mouse model is enabled by gene editing with SpCas9-NG. Communications Biology. 4(1). 771–771. 23 indexed citations
11.
Ishiguro, Soh, Hideto Mori, Mamoru Tanaka, et al.. (2020). Publisher Correction: Base editors for simultaneous introduction of C-to-T and A-to-G mutations. Nature Biotechnology. 38(7). 901–901. 2 indexed citations
12.
Ishiguro, Soh, Hideto Mori, Mamoru Tanaka, et al.. (2020). Base editors for simultaneous introduction of C-to-T and A-to-G mutations. Nature Biotechnology. 38(7). 865–869. 151 indexed citations
13.
Kondo, Taisuke, Makoto Ando, Nao Nagai, et al.. (2019). The NOTCH–FOXM1 Axis Plays a Key Role in Mitochondrial Biogenesis in the Induction of Human Stem Cell Memory–like CAR-T Cells. Cancer Research. 80(3). 471–483. 67 indexed citations
14.
Hirano, Seiichi, Omar O. Abudayyeh, Jonathan S. Gootenberg, et al.. (2019). Structural basis for the promiscuous PAM recognition by Corynebacterium diphtheriae Cas9. Nature. 5 indexed citations
15.
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
16.
Yamamoto, Takeshi, Yusuke Endo, Atsushi Onodera, et al.. (2018). DUSP10 constrains innate IL-33-mediated cytokine production in ST2hi memory-type pathogenic Th2 cells. Nature Communications. 9(1). 4231–4231. 38 indexed citations
17.
Gao, Linyi, David Cox, Winston X. Yan, et al.. (2017). Engineered Cpf1 variants with altered PAM specificities. PMC. 1 indexed citations
18.
Kato, Kazuki, Takanori Nakane, Yuki Kondo, et al.. (2016). Crystal structure of the plant receptor - like kinase TDR in complex with the TDIF peptide. RePEc: Research Papers in Economics. 8 indexed citations
19.
Konermann, Silvana, Mark D. Brigham, Alexandro E. Trevino, et al.. (2016). Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. RePEc: Research Papers in Economics. 10 indexed citations
20.
Nishimasu, Hiroshi, Naoshi Dohmae, Ryuichiro Ishitani, et al.. (2014). Crystal Structure of Cas9 in Complex with Guide RNA and Target DNA. DSpace@MIT (Massachusetts Institute of Technology). 693 indexed citations breakdown →

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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