Shota Nakade

1.4k total citations
10 papers, 1.1k citations indexed

About

Shota Nakade is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Shota Nakade has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Shota Nakade's work include CRISPR and Genetic Engineering (10 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Shota Nakade is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA Interference and Gene Delivery (3 papers). Shota Nakade collaborates with scholars based in Japan and United States. Shota Nakade's co-authors include Takashi Yamamoto, Tetsushi Sakuma, Yuto Sakane, Kenichi Suzuki, Naoaki Sakamoto, Masanobu Obara, Satoshi Kume, Takuya Tsubota, Takaaki Daimon and Hideki Sezutsu and has published in prestigious journals such as Nature Communications, Scientific Reports and Nature Protocols.

In The Last Decade

Shota Nakade

10 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shota Nakade Japan 8 991 337 92 91 83 10 1.1k
Ravi Alla United States 5 1.1k 1.1× 240 0.7× 93 1.0× 94 1.0× 91 1.1× 8 1.2k
Qunshan Huang China 5 880 0.9× 256 0.8× 95 1.0× 117 1.3× 75 0.9× 7 989
Mandana Arbab United States 9 1.2k 1.3× 324 1.0× 102 1.1× 123 1.4× 92 1.1× 11 1.3k
Namritha Ravinder United States 7 950 1.0× 242 0.7× 70 0.8× 68 0.7× 63 0.8× 11 1.0k
Wenqin Ying China 16 1.2k 1.2× 384 1.1× 113 1.2× 130 1.4× 64 0.8× 17 1.3k
Nadia Amrani United States 20 1.9k 2.0× 202 0.6× 131 1.4× 128 1.4× 59 0.7× 26 2.1k
Josephine M. Janssen Netherlands 20 1.2k 1.2× 466 1.4× 134 1.5× 96 1.1× 71 0.9× 27 1.3k
Samantha J Linder United States 6 1.5k 1.5× 301 0.9× 97 1.1× 126 1.4× 112 1.3× 6 1.5k
Gemma L. Curie United States 2 751 0.8× 168 0.5× 65 0.7× 73 0.8× 95 1.1× 3 787
Jason Potter United States 9 984 1.0× 297 0.9× 81 0.9× 44 0.5× 66 0.8× 12 1.1k

Countries citing papers authored by Shota Nakade

Since Specialization
Citations

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

Fields of papers citing papers by Shota Nakade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shota Nakade

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

All Works

10 of 10 papers shown
1.
Nakade, Shota, Keiji Mochida, Tomomi Aida, et al.. (2018). Biased genome editing using the local accumulation of DSB repair molecules system. Nature Communications. 9(1). 3270–3270. 16 indexed citations
2.
Sakuma, Tetsushi, et al.. (2018). Unexpected heterogeneity derived from Cas9 ribonucleoprotein‐introduced clonal cells at the HPRT1 locus. Genes to Cells. 23(4). 255–263. 7 indexed citations
3.
Nakade, Shota, Takashi Yamamoto, & Tetsushi Sakuma. (2017). Cancer induction and suppression with transcriptional control and epigenome editing technologies. Journal of Human Genetics. 63(2). 187–194. 10 indexed citations
5.
Nakade, Shota, Takashi Yamamoto, & Tetsushi Sakuma. (2017). Cas9, Cpf1 and C2c1/2/3―What's next?. Bioengineered. 8(3). 265–273. 75 indexed citations
6.
Aida, Tomomi, Shota Nakade, Tetsushi Sakuma, et al.. (2016). Gene cassette knock-in in mammalian cells and zygotes by enhanced MMEJ. BMC Genomics. 17(1). 979–979. 57 indexed citations
7.
Nakade, Shota, Tetsushi Sakuma, Yuto Sakane, et al.. (2015). Homeolog-specific targeted mutagenesis in Xenopus laevis using TALENs. In Vitro Cellular & Developmental Biology - Animal. 51(9). 879–884. 4 indexed citations
8.
Sakuma, Tetsushi, Shota Nakade, Yuto Sakane, Kenichi Suzuki, & Takashi Yamamoto. (2015). MMEJ-assisted gene knock-in using TALENs and CRISPR-Cas9 with the PITCh systems. Nature Protocols. 11(1). 118–133. 291 indexed citations
9.
Hisano, Yu, Tetsushi Sakuma, Shota Nakade, et al.. (2015). Precise in-frame integration of exogenous DNA mediated by CRISPR/Cas9 system in zebrafish. Scientific Reports. 5(1). 8841–8841. 179 indexed citations
10.
Nakade, Shota, Takuya Tsubota, Yuto Sakane, et al.. (2014). Microhomology-mediated end-joining-dependent integration of donor DNA in cells and animals using TALENs and CRISPR/Cas9. Nature Communications. 5(1). 5560–5560. 386 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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