Author

Hidehiro Ishizawa

University of HyogoORCID 0000-0003-0026-6039Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Research Focus:clustering· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Assay:metagenomics· 1

Frequent Co-Authors

Masahiro TakeoiD· 2 shared Daisuke InoueiD· 1 shared Hiroyuki FutamataiD· 1 shared Kodai Kimura· 1 shared Michihiko IkeiD· 1 shared Miki Furuya· 1 shared Miku Kito· 1 shared Nanoka Yoshida· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

Masahiro TakeoORCID

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2 papers

Recent·Most cited

MicrobiologybioRxivPreprintJan 27, 2026

Competition-induced metabolic switching governs the interaction network in plant microbiome assembly

Hidehiro Ishizawa, Rikuya Umemoto, Nanoka Yoshida…·Hiroyuki Futamata

The paper shows that competition-induced metabolic switching drives microbial interactions in plant microbiomes, with strains switching substrates during competition to dominate the inhibitory interaction network.

DOI 10.64898/2026.01.26.701895

plant (other)metabolomics

𝕏 PostBluesky

MicrobiologyThe ISME JournalPeer-reviewedJan 1, 2025

Decoding emergent properties of microbial community functions through sub-community observations and interpretable machine learning

Hidehiro Ishizawa, Sunao Noguchi, Miku Kito…·Masahiro Takeo

This study uses sub-community analysis and machine learning to predict and interpret microbial community functions, showing that small sub-communities can predict larger community functions.

5 citations

metagenomicsmachine learning (classical)

𝕏 PostBluesky