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Biorxiv : the Preprint Server for Biology|July 14, 2025
g.nome, A Transparent Bioinformatics Pipeline that Enables Differential Expression and Alternative Splicing Analysis by Non-Computational BiologistsRut Bryl, Krystal C Johnson, Xiongbin Kang, et al.Stem Cell Reports|May 3, 2024
H1FOO-DD promotes efficiency and uniformity in reprogramming to naive pluripotencyAkira Kunitomi, Ryoko Hirohata, Mitsujiro Osawa, et al.Diabetes Research and Clinical Practice|August 29, 2000
Re-evaluation of exercise prescription for Japanese type 2 diabetic patients by ventilatory thresholdM Kunitomi, K Takahashi, J Wada, et al.RSC Advances|May 6, 2022
Insulin amyloid polymorphs: implications for iatrogenic cytotoxicityKeisuke Yuzu, Mikael Lindgren, Sofie Nyström, et al.Diabetes Research and Clinical Practice|November 20, 2003
Daily exercise lowers blood pressure and reduces visceral adipose tissue areas in overweight Japanese menNobuyuki Miyatake, Kayo Takahashi, Jun Wada, et al.Diabetes Research and Clinical Practice|September 6, 2002
Daily walking reduces visceral adipose tissue areas and improves insulin resistance in Japanese obese subjectsNobuyuki Miyatake, Hidetaka Nishikawa, Akie Morishita, et al.The British Journal of Radiology|January 7, 2009
One-dimensional quantitative evaluation of peripheral lung adenocarcinoma with or without ground-glass opacity on thin-section CT images using profile curvesM Yanagawa, K Kuriyama, Y Kunitomi, et al.Journal of Computer Assisted Tomography|February 4, 2009
Evaluation of suspicious nipple discharge by magnetic resonance mammography based on breast imaging reporting and data system magnetic resonance imaging descriptorsYukiko Tokuda, Keiko Kuriyama, Atsushi Nakamoto, et al.International Journal of Obesity and Related Metabolic Disorders : Journal of the International Association for the Study of Obesity|March 16, 2002
Relationship between reduced serum IGF-I levels and accumulation of visceral fat in Japanese menM Kunitomi, J Wada, K Takahashi, et al.Nature Communications|January 12, 2021
Anti-senescent drug screening by deep learning-based morphology senescence scoringDai Kusumoto, Tomohisa Seki, Hiromune Sawada, et al.Pageof 19