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British Journal of Haematology|November 27, 2014
Loss of function mutations in RPL27 and RPS27 identified by whole-exome sequencing in Diamond-Blackfan anaemiaRuNan Wang, Kenichi Yoshida, Tsutomu Toki, et al.
Scientific Reports|November 26, 2025
CT-based phenotyping of COVID-19: cluster analysis of pulmonary and extrapulmonary imaging markers from a multicentre retrospective cohort studyShiro Otake, Naoya Tanabe, Shotaro Chubachi, et al.
Haematologica|October 23, 2025
Age-specific mutation profiles and their prognostic implications in pediatric KMT2A-rearranged acute myeloid leukemiaKota Shoji, Kenichi Yoshida, Shinju Iyoda, et al.
Cancer Research|August 20, 2021
The Evolving Genomic Landscape of Esophageal Squamous Cell Carcinoma Under ChemoradiotherapyHidenari Hirata, Atsushi Niida, Nobuyuki Kakiuchi, et al.
Respiratory Investigation|October 1, 2025
Extent of pulmonary involvement on admission predicts long-term pulmonary and muscular sequelae of COVID-19: A longitudinal computed tomography studyTakashi Shimada, Naoya Tanabe, Shotaro Chubachi, et al.
Oncotarget|December 9, 2015
Genomic landscape of liposarcomaDeepika Kanojia, Yasunobu Nagata, Manoj Garg, et al.
Communications Biology|October 17, 2020
Genetic and clinical landscape of breast cancers with germline BRCA1/2 variantsYukiko Inagaki-Kawata, Kenichi Yoshida, Nobuko Kawaguchi-Sakita, et al.
Clinical Nutrition (Edinburgh, Scotland)|February 13, 2024
Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019Kensuke Nakagawara, Yusuke Shiraishi, Shotaro Chubachi, et al.
Plos One|December 20, 2014
Integrated analysis of whole genome and transcriptome sequencing reveals diverse transcriptomic aberrations driven by somatic genomic changes in liver cancersYuichi Shiraishi, Akihiro Fujimoto, Mayuko Furuta, et al.
Metabolism: Clinical and Experimental|November 2, 2023
Epicardial adipose tissue measured from analysis of adipose tissue area using chest CT imaging is the best potential predictor of COVID-19 severityTakahiro Fukushima, Tomoki Maetani, Shotaro Chubachi, et al.
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