Daichi Susaki

1.8k total citations
18 papers, 818 citations indexed

About

Daichi Susaki is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daichi Susaki has authored 18 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Plant Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daichi Susaki's work include Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (13 papers) and Photosynthetic Processes and Mechanisms (7 papers). Daichi Susaki is often cited by papers focused on Plant Molecular Biology Research (13 papers), Plant Reproductive Biology (13 papers) and Photosynthetic Processes and Mechanisms (7 papers). Daichi Susaki collaborates with scholars based in Japan, United States and Austria. Daichi Susaki's co-authors include Tetsuya Higashiyama, Frédéric Berger, Ramesh Yelagandula, Pauline E. Jullien, Tetsu Kinoshita, Daisuke Maruyama, Daisuke Kurihara, Robert A. Martienssen, Hidenori Takeuchi and Ryushiro D. Kasahara and has published in prestigious journals such as Nature Cell Biology, The Plant Cell and Development.

In The Last Decade

Daichi Susaki

18 papers receiving 814 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daichi Susaki Japan 11 724 572 129 62 7 18 818
Ranjith K. Papareddy Austria 10 591 0.8× 424 0.7× 37 0.3× 48 0.8× 9 1.3× 14 681
Elisabeth Otto Germany 3 570 0.8× 419 0.7× 82 0.6× 38 0.6× 25 3.6× 3 641
Yoshiaki Tarutani Japan 17 791 1.1× 640 1.1× 132 1.0× 62 1.0× 4 0.6× 22 915
Andrew R.G. Plackett United Kingdom 10 511 0.7× 425 0.7× 159 1.2× 17 0.3× 9 1.3× 16 610
Chloé Fourquin France 13 539 0.7× 484 0.8× 71 0.6× 27 0.4× 11 1.6× 15 579
Emmanuel Thévenon France 15 828 1.1× 800 1.4× 78 0.6× 41 0.7× 12 1.7× 16 959
Alice Hasson France 8 768 1.1× 656 1.1× 42 0.3× 28 0.5× 7 1.0× 8 803
Elizabeth Schultz Canada 12 1.1k 1.6× 1.0k 1.8× 145 1.1× 33 0.5× 13 1.9× 24 1.2k
Vikas Shedge United States 7 315 0.4× 590 1.0× 71 0.6× 78 1.3× 6 0.9× 7 673
Vivien Exner Switzerland 9 634 0.9× 546 1.0× 36 0.3× 36 0.6× 9 1.3× 10 725

Countries citing papers authored by Daichi Susaki

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Susaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Susaki

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Susaki. A scholar is included among the top collaborators of Daichi Susaki 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 Daichi Susaki. Daichi Susaki 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.
Tonosaki, Kaoru, Daichi Susaki, A. Ono, et al.. (2024). Multilayered epigenetic control of persistent and stage-specific imprinted genes in rice endosperm. Nature Plants. 10(8). 1231–1245. 5 indexed citations
2.
Susaki, Daichi, et al.. (2023). Removal of the endoplasma membrane upon sperm cell activation after pollen tube discharge. Frontiers in Plant Science. 14. 1116289–1116289. 4 indexed citations
3.
Susaki, Daichi, Takao Oi, Hidenori Takeuchi, et al.. (2022). F-actin regulates the polarized secretion of pollen tube attractants in Arabidopsis synergid cells. The Plant Cell. 35(4). 1222–1240. 6 indexed citations
4.
Iida, Atsuo, Kaori Sano, Mayu Inokuchi, et al.. (2021). Cubam receptor-mediated endocytosis in hindgut-derived pseudoplacenta of a viviparous teleost Xenotoca eiseni. Journal of Experimental Biology. 224(13). 6 indexed citations
5.
Susaki, Daichi, Takamasa Suzuki, Daisuke Maruyama, et al.. (2021). Dynamics of the cell fate specifications during female gametophyte development in Arabidopsis. PLoS Biology. 19(3). e3001123–e3001123. 35 indexed citations
6.
Nishikawa, Shuh‐ichi, Yuki Yamaguchi, Chiharu Suzuki, et al.. (2020). Arabidopsis GEX1 Is a Nuclear Membrane Protein of Gametes Required for Nuclear Fusion During Reproduction. Frontiers in Plant Science. 11. 548032–548032. 11 indexed citations
7.
Borg, Michael, Yannick Jacob, Daichi Susaki, et al.. (2020). Targeted reprogramming of H3K27me3 resets epigenetic memory in plant paternal chromatin. Nature Cell Biology. 22(6). 621–629. 156 indexed citations
8.
Tsutsui, Hiroki, Yoshikatsu Sato, Daichi Susaki, & Tetsuya Higashiyama. (2019). Microtubule depletion domain 1 localizes at the boundary between female gametes in Arabidopsis thaliana. Molecular Reproduction and Development. 86(8). 925–925. 2 indexed citations
9.
Susaki, Daichi, Daisuke Maruyama, Ramesh Yelagandula, Frédéric Berger, & Tomokazu Kawashima. (2017). Live-Cell Imaging of F-Actin Dynamics During Fertilization in Arabidopsis thaliana. Methods in molecular biology. 1669. 47–54. 3 indexed citations
10.
Kasahara, Ryushiro D., Michitaka Notaguchi, Shiori Nagahara, et al.. (2016). Pollen tube contents initiate ovule enlargement and enhance seed coat development without fertilization. Science Advances. 2(10). e1600554–e1600554. 30 indexed citations
11.
Piskurewicz, Urszula, et al.. (2016). Dormancy-specific imprinting underlies maternal inheritance of seed dormancy in Arabidopsis thaliana. eLife. 5. 46 indexed citations
12.
Susaki, Daichi, Hidenori Takeuchi, Hiroki Tsutsui, Daisuke Kurihara, & Tetsuya Higashiyama. (2015). Live Imaging and Laser Disruption Reveal the Dynamics and Cell–Cell Communication During Torenia fournieri Female Gametophyte Development. Plant and Cell Physiology. 56(5). 1031–1041. 22 indexed citations
13.
Maruyama, Daisuke, Yuki Hamamura, Hidenori Takeuchi, et al.. (2013). Independent Control by Each Female Gamete Prevents the Attraction of Multiple Pollen Tubes. Developmental Cell. 25(3). 317–323. 104 indexed citations
14.
Vu, Minh Thiet, Miyuki Nakamura, Joseph P. Calarco, et al.. (2013). RNA-directed DNA methylation regulates parental genomic imprinting at several loci in Arabidopsis. Development. 140(14). 2953–2960. 67 indexed citations
15.
Jullien, Pauline E., Daichi Susaki, Ramesh Yelagandula, Tetsuya Higashiyama, & Frédéric Berger. (2012). DNA Methylation Dynamics during Sexual Reproduction in Arabidopsis thaliana. Current Biology. 22(19). 1825–1830. 186 indexed citations
16.
Ikeda, Yoko, Yuki Kinoshita, Daichi Susaki, et al.. (2011). HMG Domain Containing SSRP1 Is Required for DNA Demethylation and Genomic Imprinting in Arabidopsis. Developmental Cell. 21(3). 589–596. 75 indexed citations
17.
Kanaoka, Masahiro M., Yoshiyuki Matsubara, Daichi Susaki, et al.. (2011). Identification and characterization of TcCRP1, a pollen tube attractant from Torenia concolor. Annals of Botany. 108(4). 739–747. 58 indexed citations
18.

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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