Kyogo Kawaguchi

Also affiliated with KAN Research Institute, RIKEN Center for Advanced Intelligence Project, The University of Tokyo

Physics and AstronomyBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Gradual differentiation uncoupled from cell cycle exit generates heterogeneity in the epidermal stem cell layer”.

Gradual differentiation uncoupled from cell cycle exit generates heterogeneity in the epidermal stem cell layer

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.07.425777

N/A

0DataRank · unranked

16 citations

Karl Annusver, Smirthy Ganesan, Kailin R. Mesa, Kyogo Kawaguchi, Maria Kasper +2 more

Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.23.449559

N/A

0DataRank · unranked

1 citations

Katie Cockburn, Valentina Greco, Kyogo Kawaguchi, Takaki Yamamoto

Probing the rules of cell coordination in live tissues by interpretable machine learning based on graph neural networks

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010477

N/A

0DataRank · unranked

18 citations

Katie Cockburn, Valentina Greco, Kyogo Kawaguchi, Takaki Yamamoto