Hideki Nagasaki

4.2k total citations
25 papers, 1.1k citations indexed

About

Hideki Nagasaki is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Hideki Nagasaki has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Hideki Nagasaki's work include Genomics and Phylogenetic Studies (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant Disease Resistance and Genetics (7 papers). Hideki Nagasaki is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Plant Disease Resistance and Genetics (7 papers). Hideki Nagasaki collaborates with scholars based in Japan, United States and India. Hideki Nagasaki's co-authors include Masahiro Yano, Kaworu Ebana, Jun‐ichi Yonemaru, Taeko Shibaya, Toshio Yamamoto, Maiko Nakajima, Osamu Gotoh, Eli Kaminuma, Makiko Suwa and Atsushi Toyoda and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hideki Nagasaki

24 papers receiving 1.1k citations

Peers

Hideki Nagasaki
Nan He China
Jee Young Park South Korea
Mélanie Massonnet United States
Amit Gur Israel
Xu Cai China
Nan He China
Hideki Nagasaki
Citations per year, relative to Hideki Nagasaki Hideki Nagasaki (= 1×) peers Nan He

Countries citing papers authored by Hideki Nagasaki

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Nagasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Nagasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Nagasaki. A scholar is included among the top collaborators of Hideki Nagasaki 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 Hideki Nagasaki. Hideki Nagasaki 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.
Shirasawa, Kenta, Roger Moraga, Hideki Hirakawa, et al.. (2023). An improved reference genome for Trifolium subterraneum L. provides insight into molecular diversity and intra-specific phylogeny. Frontiers in Plant Science. 14. 1103857–1103857. 3 indexed citations
2.
Shirasawa, Kenta, Rakesh Kumar Chahota, Hideki Hirakawa, et al.. (2021). A chromosome-scale draft genome sequence of horsegram (Macrotyloma uniflorum). SHILAP Revista de lepidopterología. 2021. 1–23. 10 indexed citations
3.
Rai, Amit, Hideki Hirakawa, Ryo Nakabayashi, et al.. (2021). Chromosome-level genome assembly of Ophiorrhiza pumila reveals the evolution of camptothecin biosynthesis. Nature Communications. 12(1). 405–405. 87 indexed citations
4.
Akagi, Takashi, Kenta Shirasawa, Hideki Nagasaki, et al.. (2020). The persimmon genome reveals clues to the evolution of a lineage-specific sex determination system in plants. PLoS Genetics. 16(2). e1008566–e1008566. 49 indexed citations
5.
Shirasawa, Kenta, Tomoya Esumi, Hideki Hirakawa, et al.. (2019). Phased genome sequence of an interspecific hybrid flowering cherry, ‘Somei-Yoshino’ (Cerasus × yedoensis). DNA Research. 26(5). 379–389. 53 indexed citations
6.
Mochizuki, Takako, Yasuhiro Tanizawa, Takatomo Fujisawa, et al.. (2017). DNApod: DNA polymorphism annotation database from next-generation sequence read archives. PLoS ONE. 12(2). e0172269–e0172269. 2 indexed citations
7.
Shimizu, Tokurou, Yasuhiro Tanizawa, Takako Mochizuki, et al.. (2017). Draft Sequencing of the Heterozygous Diploid Genome of Satsuma (Citrus unshiu Marc.) Using a Hybrid Assembly Approach. Frontiers in Genetics. 8. 180–180. 49 indexed citations
8.
Shimizu, Tokurou, Akira Kitajima, Keisuke Nonaka, et al.. (2016). Hybrid Origins of Citrus Varieties Inferred from DNA Marker Analysis of Nuclear and Organelle Genomes. PLoS ONE. 11(11). e0166969–e0166969. 80 indexed citations
9.
Mashima, Jun, Yuichi Kodama, Takehide Kosuge, et al.. (2015). DNA data bank of Japan (DDBJ) progress report. Nucleic Acids Research. 44(D1). D51–D57. 57 indexed citations
10.
Hosomichi, Kazuyoshi, Shigeki Mitsunaga, Hideki Nagasaki, & Ituro Inoue. (2014). A Bead-based Normalization for Uniform Sequencing depth (BeNUS) protocol for multi-samples sequencing exemplified by HLA-B. BMC Genomics. 15(1). 645–645. 21 indexed citations
11.
Kobayashi, Masaaki, Hideki Nagasaki, Virginie Garcia, et al.. (2013). Genome-Wide Analysis of Intraspecific DNA Polymorphism in ‘Micro-Tom’, a Model Cultivar of Tomato (Solanum lycopersicum). Plant and Cell Physiology. 55(2). 445–454. 49 indexed citations
12.
Yamamoto, Toshio, Kaworu Ebana, Eiji Yamamoto, et al.. (2012). Genome-Wide Haplotype Changes Produced by Artificial Selection during Modern Rice Breeding in Japan. PLoS ONE. 7(3). e32982–e32982. 44 indexed citations
13.
Shiwa, Yuh, Hideki Nagasaki, Kaworu Ebana, et al.. (2011). Discovery of Genome-Wide DNA Polymorphisms in a Landrace Cultivar of Japonica Rice by Whole-Genome Sequencing. Plant and Cell Physiology. 52(2). 274–282. 101 indexed citations
14.
Yamamoto, Toshio, Hideki Nagasaki, Jun‐ichi Yonemaru, et al.. (2010). Fine definition of the pedigree haplotypes of closely related rice cultivars by means of genome-wide discovery of single-nucleotide polymorphisms. BMC Genomics. 11(1). 267–267. 174 indexed citations
15.
Ohnuma, Shinobu, Koh Miura, Akira Horii, et al.. (2008). Cancer-associated splicing variants of the CDCA1 and MSMB genes expressed in cancer cell lines and surgically resected gastric cancer tissues. Surgery. 145(1). 57–68. 23 indexed citations
16.
Nagasaki, Hideki, et al.. (2006). Automated classification of alternative splicing and transcriptional initiation and construction of visual database of classified patterns. Bioinformatics. 22(10). 1211–1216. 26 indexed citations
17.
Nagasaki, Hideki, et al.. (2005). Species-specific variation of alternative splicing and transcriptional initiation in six eukaryotes. Gene. 364. 53–62. 74 indexed citations
18.
Gotoh, Osamu & Hideki Nagasaki. (2005). Analysis of alternative splicing and alternative transcriptional initiation. 32(2). 39–46.
19.
Nagasaki, Hideki, Makiko Suwa, & Osamu Gotoh. (2003). An Algorithm for Classification of Alternative Splicing and Transcriptional Initiation and Its Genome-Wide Application. Proceedings Genome Informatics Workshop/Genome informatics. 14. 424–425. 3 indexed citations
20.
Nagasaki, Hideki, et al.. (2000). Molecular cloning and characterization of a gene encoding glutaminase from Aspergillus oryzae. Applied Microbiology and Biotechnology. 54(1). 59–68. 32 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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