Author

Takehiro Kamiya

The University of TokyoORCID 0000-0003-3790-7119Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:Arabidopsis· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1

Frequent Co-Authors

Asahi AdachiiD· 1 shared Hitoshi SakakibaraiD· 1 shared John Jewish A. DomingueziD· 1 shared Kiwamu MinamisawaiD· 1 shared Kota MondeniD· 1 shared Masako Fuji· 1 shared Mikiko KojimaiD· 1 shared Naoaki OnoiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

Asahi AdachiORCID

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2 papers

Recent·Most cited

Plant BiologyPlant and Cell PhysiologyPeer-reviewedApr 24, 2026

Cytokinin receptor AHK3 influences leaf size by modulating trans-zeatin-type cytokinin levels in xylem

Kota Monden, Takamasa Suzuki, Mikiko Kojima…·Takushi Hachiya

This study shows that AHK3 and CKX4 in roots regulate tZ-type cytokinin transport via xylem, affecting leaf size based on nitrogen availability.

DOI 10.1093/pcp/pcag052

Arabidopsisproteomics

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Plant BiologyPlant and Cell PhysiologyPeer-reviewedMay 21, 2025

Soil nutrition-dependent dynamics of the root-associated microbiome in paddy rice

Asahi Adachi, John Jewish A. Dominguez, Yuniar Devi Utami…·Yusuke Saijo

The paper examines how soil nutrition affects the root-associated microbiome of rice across seasons and conditions, finding nitrogen-fixing bacteria dominate in non-fertilized fields and a machine learning model can predict soil fertilization status from microbiome data.

9 citations

plant (other)metagenomics

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