Yuta Nihongaki

1.7k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Yuta Nihongaki is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Yuta Nihongaki has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Yuta Nihongaki's work include CRISPR and Genetic Engineering (9 papers), Ubiquitin and proteasome pathways (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Yuta Nihongaki is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Ubiquitin and proteasome pathways (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Yuta Nihongaki collaborates with scholars based in United States, Japan and Czechia. Yuta Nihongaki's co-authors include Moritoshi Sato, Fuun Kawano, Takahiro Nakajima, Hideyuki Suzuki, Takahiro Otabe, Shun Yamamoto, Keitaro Yoshimoto, Shiva Razavi, Takanari Inoue and Yoshibumi Ueda and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yuta Nihongaki

18 papers receiving 1.3k citations

Hit Papers

Photoactivatable CRISPR-Cas9 for optogenetic genome editing 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuta Nihongaki United States 12 1.2k 305 239 129 127 18 1.4k
Fuun Kawano Japan 11 1.1k 1.0× 582 1.9× 446 1.9× 116 0.9× 135 1.1× 12 1.4k
Dominik Niopek Germany 15 944 0.8× 304 1.0× 249 1.0× 192 1.5× 68 0.5× 29 1.1k
Lauren R. Polstein United States 7 1.7k 1.4× 268 0.9× 302 1.3× 278 2.2× 94 0.7× 7 1.9k
Martin Schneider Germany 10 865 0.7× 131 0.4× 135 0.6× 145 1.1× 28 0.2× 23 1.0k
Yuchen Gao United States 9 913 0.8× 63 0.2× 82 0.3× 141 1.1× 48 0.4× 10 1000
Mareike D. Hoffmann Germany 14 541 0.5× 75 0.2× 95 0.4× 63 0.5× 38 0.3× 20 785
Justin D. Vrana United States 10 534 0.5× 300 1.0× 277 1.2× 38 0.3× 85 0.7× 13 742
Erin R. Burnight United States 19 1.1k 0.9× 188 0.6× 60 0.3× 348 2.7× 40 0.3× 37 1.3k
Michal Szczepek Germany 13 774 0.7× 269 0.9× 135 0.6× 125 1.0× 13 0.1× 21 903
Steven J. Mayerl United States 6 523 0.4× 108 0.4× 33 0.1× 92 0.7× 34 0.3× 7 548

Countries citing papers authored by Yuta Nihongaki

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Nihongaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Nihongaki

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

All Works

18 of 18 papers shown
1.
Watanabe, Satoshi, Yuta Nihongaki, Kie Itoh, et al.. (2022). Defunctionalizing intracellular organelles such as mitochondria and peroxisomes with engineered phospholipase A/acyltransferases. Nature Communications. 13(1). 4413–4413. 9 indexed citations
2.
Otabe, Takahiro, Yuta Nihongaki, & Moritoshi Sato. (2022). A Split CRISPR–Cpf1 Platform for Inducible Gene Activation. Methods in molecular biology. 2577. 229–240. 3 indexed citations
3.
Nihongaki, Yuta, Hideaki T. Matsubayashi, & Takanari Inoue. (2021). A molecular trap inside microtubules probes luminal access by soluble proteins. Nature Chemical Biology. 17(8). 888–895. 11 indexed citations
4.
Jia, Sisi, Siew Cheng Phua, Yuta Nihongaki, et al.. (2021). Growth and site-specific organization of micron-scale biomolecular devices on living mammalian cells. arXiv (Cornell University). 14 indexed citations
5.
Liu, Yang, Roger S. Zou, Yuta Nihongaki, et al.. (2020). Very fast CRISPR on demand. Science. 368(6496). 1265–1269. 149 indexed citations
6.
Liu, Yang, Roger S. Zou, Yuta Nihongaki, et al.. (2020). Very Fast CRISPR on Demand. Biophysical Journal. 118(3). 29a–29a. 3 indexed citations
7.
Nihongaki, Yuta, Takahiro Otabe, Yoshibumi Ueda, & Moritoshi Sato. (2019). A split CRISPR–Cpf1 platform for inducible genome editing and gene activation. Nature Chemical Biology. 15(9). 882–888. 80 indexed citations
8.
Kremer, Lea, Andrei Ursu, Hideaki T. Matsubayashi, et al.. (2019). Discovery of the Hedgehog Pathway Inhibitor Pipinib that Targets PI4KIIIß. Angewandte Chemie International Edition. 58(46). 16617–16628. 13 indexed citations
9.
Kremer, Lea, Andrei Ursu, Hideaki T. Matsubayashi, et al.. (2019). Discovery of the Hedgehog Pathway Inhibitor Pipinib that Targets PI4KIIIß. Angewandte Chemie. 131(46). 16770–16781. 3 indexed citations
10.
Phua, Siew Cheng, Yuta Nihongaki, & Takanari Inoue. (2018). Autonomy declared by primary cilia through compartmentalization of membrane phosphoinositides. Current Opinion in Cell Biology. 50. 72–78. 13 indexed citations
11.
Nihongaki, Yuta, et al.. (2017). CRISPR–Cas9-based photoactivatable transcription systems to induce neuronal differentiation. Nature Methods. 14(10). 963–966. 147 indexed citations
12.
Nihongaki, Yuta, Takahiro Otabe, & Moritoshi Sato. (2017). Emerging Approaches for Spatiotemporal Control of Targeted Genome with Inducible CRISPR-Cas9. Analytical Chemistry. 90(1). 429–439. 34 indexed citations
13.
Nihongaki, Yuta, et al.. (2017). Control of Adipogenic Differentiation in Mesenchymal Stem Cells via Endogenous Gene Activation Using CRISPR-Cas9. ACS Synthetic Biology. 6(12). 2191–2197. 28 indexed citations
14.
Nihongaki, Yuta, Shun Yamamoto, Fuun Kawano, Hideyuki Suzuki, & Moritoshi Sato. (2015). CRISPR-Cas9-based Photoactivatable Transcription System. Chemistry & Biology. 22(2). 169–174. 266 indexed citations
15.
Nihongaki, Yuta, Fuun Kawano, Takahiro Nakajima, & Moritoshi Sato. (2015). Photoactivatable CRISPR-Cas9 for optogenetic genome editing. Nature Biotechnology. 33(7). 755–760. 488 indexed citations breakdown →
16.
Nihongaki, Yuta, Hideyuki Suzuki, Fuun Kawano, & Moritoshi Sato. (2014). Genetically Engineered Photoinducible Homodimerization System with Improved Dimer-Forming Efficiency. ACS Chemical Biology. 9(3). 617–621. 42 indexed citations
17.
Lin, Yu‐Chun, Yuta Nihongaki, Tzu‐Yu Liu, et al.. (2013). Rapidly Reversible Manipulation of Molecular Activity with Dual Chemical Dimerizers. Angewandte Chemie International Edition. 52(25). 6450–6454. 45 indexed citations
18.
Lin, Yu‐Chun, Yuta Nihongaki, Tzu‐Yu Liu, et al.. (2013). Rapidly Reversible Manipulation of Molecular Activity with Dual Chemical Dimerizers. Angewandte Chemie. 125(25). 6578–6582. 10 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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