Takuya Suzaki

4.3k total citations
49 papers, 3.3k citations indexed

About

Takuya Suzaki is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Takuya Suzaki has authored 49 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 18 papers in Agronomy and Crop Science and 17 papers in Molecular Biology. Recurrent topics in Takuya Suzaki's work include Legume Nitrogen Fixing Symbiosis (33 papers), Plant nutrient uptake and metabolism (27 papers) and Agronomic Practices and Intercropping Systems (18 papers). Takuya Suzaki is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (33 papers), Plant nutrient uptake and metabolism (27 papers) and Agronomic Practices and Intercropping Systems (18 papers). Takuya Suzaki collaborates with scholars based in Japan, United States and Germany. Takuya Suzaki's co-authors include Masayoshi Kawaguchi, Hiroyuki Hirano, Hanna Nishida, Gabor Daum, Jan U. Lohmann, M. Ito, Akiko Yoshida, Anna Medzihradszky, Taiyo Toriba and Takashi Soyano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Takuya Suzaki

49 papers receiving 3.2k citations

Peers

Takuya Suzaki

ACS

GENET

EEBS

Philippa Borrill United Kingdom

Florian Frugier France

Rajandeep S. Sekhon United States

Haiming Zhao China

Koichiro Aya Japan

John E. Flintham United Kingdom

Xueyong Zhang China

Nick Lauter United States

Takao Komatsuda Japan

James Beales United Kingdom

Philippa Borrill United Kingdom

Takuya Suzaki

1.9k ×0.6

731 ×0.5

257 ×0.4

ACS

396 ×2.0

GENET

38 ×0.3

EEBS

Citations per year, relative to Takuya Suzaki Takuya Suzaki (= 1×) peers Philippa Borrill

Countries citing papers authored by Takuya Suzaki

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Suzaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Suzaki

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

All Works

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20 of 20 papers shown

Ito, M., Y Tajima, Mari Ogawa, et al.. (2024). IMA peptides regulate root nodulation and nitrogen homeostasis by providing iron according to internal nitrogen status. Nature Communications. 15(1). 733–733. 19 indexed citations

Nishida, Hanna, Shohei Nosaki, Takamasa Suzuki, et al.. (2021). Different DNA-binding specificities of NLP and NIN transcription factors underlie nitrate-induced control of root nodulation. The Plant Cell. 33(7). 2340–2359. 66 indexed citations

Miura, Kenji, et al.. (2020). The PHD finger of Arabidopsis SIZ1 recognizes trimethylated histone H3K4 mediating SIZ1 function and abiotic stress response. Communications Biology. 3(1). 23–23. 35 indexed citations

Soyano, Takashi, et al.. (2020). MIR2111-5 locus and shoot-accumulated mature miR2111 systemically enhance nodulation depending on HAR1 in Lotus japonicus. Nature Communications. 11(1). 5192–5192. 45 indexed citations

Nguyen, Hien P., et al.. (2019). Novel rhizobia exhibit superior nodulation and biological nitrogen fixation even under high nitrate concentrations. FEMS Microbiology Ecology. 96(2). 25 indexed citations

Suzaki, Takuya & Hanna Nishida. (2019). Autoregulation of Legume Nodulation by Sophisticated Transcriptional Regulatory Networks. Molecular Plant. 12(9). 1179–1181. 12 indexed citations

Suzaki, Takuya, Naoya Takeda, Hanna Nishida, et al.. (2019). LACK OF SYMBIONT ACCOMMODATION controls intracellular symbiont accommodation in root nodule and arbuscular mycorrhizal symbiosis in Lotus japonicus. PLoS Genetics. 15(1). e1007865–e1007865. 26 indexed citations

Ohta, Masaru, Aiko Sato, Tsuyoshi Yamamoto, et al.. (2018). MYC-type transcription factors, MYC67 and MYC70, interact with ICE1 and negatively regulate cold tolerance in Arabidopsis. Scientific Reports. 8(1). 11622–11622. 35 indexed citations

Cui, Songkui, Takuya Suzaki, Rumi Tominaga‐Wada, & Satoko Yoshida. (2017). Regulation and functional diversification of root hairs. Seminars in Cell and Developmental Biology. 83. 115–122. 30 indexed citations

10.

Sato, Yoshikatsu, Daisuke Kurihara, Takuya Suzaki, et al.. (2017). Spatiotemporal deep imaging of syncytium induced by the soybean cyst nematode Heterodera glycines. PROTOPLASMA. 254(6). 2107–2115. 21 indexed citations

11.

Pfeiffer, Anne, Yihan Dong, Anna Medzihradszky, et al.. (2016). Integration of light and metabolic signals for stem cell activation at the shoot apical meristem. eLife. 5. 166 indexed citations

12.

Suzaki, Takuya, et al.. (2015). Leguminous Plants: Inventors of Root Nodules to Accommodate Symbiotic Bacteria. International review of cell and molecular biology. 316. 111–158. 109 indexed citations

13.

Daum, Gabor, Anna Medzihradszky, Takuya Suzaki, & Jan U. Lohmann. (2014). A mechanistic framework for noncell autonomous stem cell induction in Arabidopsis. Proceedings of the National Academy of Sciences. 111(40). 14619–14624. 258 indexed citations

14.

Suzaki, Takuya & Masayoshi Kawaguchi. (2014). Root nodulation: a developmental program involving cell fate conversion triggered by symbiotic bacterial infection. Current Opinion in Plant Biology. 21. 16–22. 45 indexed citations

15.

Takeda, Naoya, Syusaku Tsuzuki, Takuya Suzaki, Martin Parniske, & Masayoshi Kawaguchi. (2013). CERBERUS and NSP1 of Lotus japonicus are Common Symbiosis Genes that Modulate Arbuscular Mycorrhiza Development. Plant and Cell Physiology. 54(10). 1711–1723. 49 indexed citations

16.

Suzaki, Takuya, M. Ito, & Masayoshi Kawaguchi. (2013). Genetic basis of cytokinin and auxin functions during root nodule development. Frontiers in Plant Science. 4. 42–42. 52 indexed citations

17.

Magori, Shimpei, Takashi Soyano, Satoru Okamoto, et al.. (2013). TOO MUCH LOVE, a Novel Kelch Repeat-Containing F-box Protein, Functions in the Long-Distance Regulation of the Legume–Rhizobium Symbiosis. Plant and Cell Physiology. 54(4). 433–447. 114 indexed citations

18.

Suzaki, Takuya, M. Ito, & Masayoshi Kawaguchi. (2013). Induction of localized auxin response during spontaneous nodule development inLotus japonicus. Plant Signaling & Behavior. 8(3). e23359–e23359. 6 indexed citations

19.

Busch, Wolfgang, Federico Ariel, Zhong Zhao, et al.. (2010). Transcriptional Control of a Plant Stem Cell Niche. Developmental Cell. 18(5). 841–853. 179 indexed citations

20.

Suzaki, Takuya, Akiko Yoshida, & Hiroyuki Hirano. (2008). Functional Diversification of CLAVATA3-Related CLE Proteins in Meristem Maintenance in Rice . The Plant Cell. 20(8). 2049–2058. 97 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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