Author

Akihisa Shinozawa

Tokyo University of AgricultureORCID 0000-0003-3022-6433Unclaimed 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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Organism:Arabidopsis· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Arullthevan RajendramiD· 1 shared Haruka Ishizaki· 1 shared Hiroyasu KitashibaiD· 1 shared Izumi YotsuiiD· 1 shared Masanori OkamotoiD· 1 shared Masatsugu ToyotaiD· 1 shared Masaya YamamotoiD· 1 shared Matsuyuki ShirotaiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPlant Biology

Arullthevan RajendramORCID

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2 papers

Recent·Most cited

Plant BiologyNature CommunicationsPeer-reviewedDec 19, 2025

Humidity-driven ABA depletion determines plant-pathogen competition for leaf water

Shigetaka Yasuda, Akihisa Shinozawa, Yuanjie Weng…·Yusuke Saijo

The paper shows that humidity increases ABA catabolism via CYP707A3, reducing ABA levels and limiting bacterial infection in Arabidopsis.

9 citationstop 4%

Arabidopsisproteomics

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Plant BiologyNew PhytologistPeer-reviewedSep 15, 2024

Self-incompatibility phenotypes of SRK mutants can be predicted with high accuracy

Masaya Yamamoto, Shotaro Ohtake, Akihisa Shinozawa…·Hiroyasu Kitashiba

The study identifies mutations in SRK that cause self-incompatibility defects and shows machine learning models can predict these phenotypes accurately.

1 citation

Arabidopsismachine learning (classical)

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