Author

Akira Terakawa

Observed name: Terakawa, Akira

Institution: The University of Tokyo

Observed institution: The University of Tokyo

OpenAlex ID: A5032993408

Trans-omic analysis reveals obesity-associated dysregulation of inter-organ metabolic cycles between the liver and skeletal muscle

2021 · Riku Egami, Toshiya Kokaji, et al. · iScience · 36

Transomics analysis reveals allosteric and gene regulation axes for altered hepatic glucose-responsive metabolism in obesity

2020 · Toshiya Kokaji, Atsushi Hatano, et al. · Science Signaling · 31

DNA hypomethylation characterizes genes encoding tissue-dominant functional proteins in liver and skeletal muscle

2023 · Hideki Maehara, Toshiya Kokaji, et al. · Scientific Reports · 9

Trans-omics analysis of insulin action reveals a cell growth subnetwork which co-regulates anabolic processes

2022 · Akira Terakawa, Yanhui Hu, et al. · iScience · 9

In vivo transomic analyses of glucose-responsive metabolism in skeletal muscle reveal core differences between the healthy and obese states

2022 · Toshiya Kokaji, Miki Eto, et al. · Scientific Reports · 8

Time and dose selective glucose metabolism for glucose homeostasis and energy conversion in the liver

2024 · Yifei Pan, Atsushi Hatano, et al. · npj Systems Biology and Applications · 6

Structural robustness and temporal vulnerability of the starvation-responsive metabolic network in healthy and obese mouse liver

2025 · Keigo Morita, Atsushi Hatano, et al. · Science Signaling · 3

Structural robustness and temporal vulnerability of the starvation-responsive metabolic network in liver of healthy and obese mice

2024 · Keigo Morita, Atsushi Hatano, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2

ショウジョウバエ細胞におけるインスリンシグナル伝達経路による転写および代謝制御のトランスオミクス解析

2022 · Terakawa, Akira · Institutional Repositories DataBase (IRDB)

Trans-omic Analysis of Insulin Action Reveals a Sub-Network Required for Cell Growth Through Co-Regulated Gene Expression of Anabolic Processes

2022 · Akira Terakawa, Yanhui Hu, et al. · SSRN Electronic Journal

Faculty Opinions recommendation of An integrative analysis of the inr/pi3k/akt network identifies the dynamic response to insulin signaling.

2017 · Shinya Kuroda, Akira Terakawa · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature

The association between optimization of proteome resource allocation and cellular growth activity in budding yeast

2016 · Akira Terakawa, Kaede Azegami, et al. · The Molecular Biology Society of Japan

Works count: 13

Citation count: 104

H-index: 6

I10-index: 2