Satoshi Owada

499 total citations
17 papers, 387 citations indexed

About

Satoshi Owada is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Satoshi Owada has authored 17 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Satoshi Owada's work include Cancer, Hypoxia, and Metabolism (6 papers), Autophagy in Disease and Therapy (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Satoshi Owada is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Autophagy in Disease and Therapy (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Satoshi Owada collaborates with scholars based in Japan, United Kingdom and United States. Satoshi Owada's co-authors include Masayuki Tatemichi, Hitoshi Endo, Katsuya Tsuchihara, Hiroyasu Esumi, Yutaka Inagaki, Hideki Makinoshima, Atsushi Yagishita, Masahiro Takita, Shingo Matsumoto and Chisa Okada and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Satoshi Owada

17 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Satoshi Owada Japan	10	233	162	72	68	62	17	387
Yixiao Xiong China	12	233 1.0×	144 0.9×	33 0.5×	62 0.9×	112 1.8×	20	405
Johan Swinnen Belgium	7	131 0.6×	107 0.7×	38 0.5×	47 0.7×	99 1.6×	16	330
Stacey L. Lehman United States	7	262 1.1×	89 0.5×	80 1.1×	81 1.2×	32 0.5×	12	394
Kristina Diepold Germany	6	267 1.1×	222 1.4×	33 0.5×	67 1.0×	30 0.5×	6	404
Liwen Zhang China	12	311 1.3×	257 1.6×	38 0.5×	83 1.2×	48 0.8×	25	509
S. Telang United States	7	337 1.4×	254 1.6×	40 0.6×	98 1.4×	27 0.4×	14	465
Lubna Qamar United States	13	397 1.7×	195 1.2×	61 0.8×	117 1.7×	58 0.9×	20	557
Virginie Quidville France	8	228 1.0×	129 0.8×	30 0.4×	88 1.3×	44 0.7×	10	398
Alicia M. Blessing United States	9	281 1.2×	179 1.1×	103 1.4×	67 1.0×	69 1.1×	10	413
Hyo-Eun Moon South Korea	8	297 1.3×	144 0.9×	32 0.4×	93 1.4×	30 0.5×	9	420

Countries citing papers authored by Satoshi Owada

Since Specialization

Citations

This map shows the geographic impact of Satoshi Owada's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Satoshi Owada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Owada more than expected).

Fields of papers citing papers by Satoshi Owada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satoshi Owada. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Satoshi Owada. The network helps show where Satoshi Owada may publish in the future.

Co-authorship network of co-authors of Satoshi Owada

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Owada. A scholar is included among the top collaborators of Satoshi Owada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Satoshi Owada. Satoshi Owada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Owada, Satoshi, et al.. (2021). Evaluation of Erastin as a Therapeutic Agent Under Hypoxic Conditions in Pancreatic Cancer Cells. Anticancer Research. 41(12). 6051–6059. 2 indexed citations

Endo, Hitoshi, Satoshi Owada, Yutaka Inagaki, et al.. (2021). Branched-chain amino acids govern the high learning ability phenotype in Tokai high avoider (THA) rats. Scientific Reports. 11(1). 23104–23104. 5 indexed citations

Endo, Hitoshi, et al.. (2020). Metabolic reprogramming sustains cancer cell survival following extracellular matrix detachment. Redox Biology. 36. 101643–101643. 43 indexed citations

Tatemichi, Masayuki, Hiroyuki Furuya, Satsue Nagahama, et al.. (2020). A nationwide cross-sectional survey on hepatitis B and C screening among workers in Japan. Scientific Reports. 10(1). 11435–11435. 10 indexed citations

Owada, Satoshi, et al.. (2020). Setanaxib as a Potent Hypoxia-specific Therapeutic Agent Against Liver Cancer. Anticancer Research. 40(9). 5071–5079. 9 indexed citations

Endo, Hitoshi, et al.. (2018). Glucose starvation induces LKB1-AMPK-mediated MMP-9 expression in cancer cells. Scientific Reports. 8(1). 10122–10122. 75 indexed citations

Mochizuki, Nobuo, Masafumi Ikeda, Akihiro Sato, et al.. (2018). Change in plasma lactate concentration during arctigenin administration in a phase I clinical trial in patients with gemcitabine-refractory pancreatic cancer. PLoS ONE. 13(6). e0198219–e0198219. 13 indexed citations

Owada, Satoshi, et al.. (2018). Autophagy‑mediated adaptation of hepatocellular carcinoma cells to hypoxia‑mimicking conditions constitutes an attractive therapeutic target. Oncology Reports. 39(4). 1805–1812. 12 indexed citations

Endo, Hitoshi, Tomoo Eto, Fumihito Yoshii, et al.. (2017). The intrauterine environment affects learning ability of Tokai high avoider rat offspring derived using cryopreservation and embryo transfer-mediated reproduction. Biochemical and Biophysical Research Communications. 489(2). 211–216. 3 indexed citations

10.

Owada, Satoshi, et al.. (2017). An Adaptation System to Avoid Apoptosis via Autophagy Under Hypoxic Conditions in Pancreatic Cancer Cells. Anticancer Research. 37(9). 4927–4934. 11 indexed citations

11.

Nakano, Tadashi, Takeshi Hayashi, Toru Nakagawa, et al.. (2017). Increased Incidence of Visual Field Abnormalities as Determined by Frequency Doubling Technology Perimetry in High Computer Users Among Japanese Workers: A Retrospective Cohort Study. Journal of Epidemiology. 28(4). 214–219. 5 indexed citations

12.

Nakano, Tadashi, Takeshi Hayashi, Toru Nakagawa, et al.. (2016). Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening. Clinical ophthalmology. Volume 11. 97–103. 13 indexed citations

13.

Makinoshima, Hideki, Satoshi Owada, & Hiroyasu Esumi. (2015). [Therapeutic strategies targeting cancer--specific metabolism].. PubMed. 73(8). 1296–301. 1 indexed citations

14.

Makinoshima, Hideki, Masahiro Takita, Shingo Matsumoto, et al.. (2014). Epidermal Growth Factor Receptor (EGFR) Signaling Regulates Global Metabolic Pathways in EGFR-mutated Lung Adenocarcinoma. Journal of Biological Chemistry. 289(30). 20813–20823. 161 indexed citations

15.

Esumi, Hiroyasu, Satoshi Owada, Katsuya Tsuchihara, et al.. (2014). Abstract CT213: Arctigenin, an antiausterity agent shows high safety and promising clinical response in phase I clinical trial in patient with gemcitabine-refractory pancreatic cancer. Cancer Research. 74(19_Supplement). CT213–CT213. 2 indexed citations

16.

Owada, Satoshi, et al.. (2013). Critical Role of H2O2 Generated by NOX4 during Cellular Response under Glucose Deprivation. PLoS ONE. 8(3). e56628–e56628. 21 indexed citations

17.

Owada, Satoshi, et al.. (2012). Abstract 1133: Glucose deprivation-induced intracellular reactive oxygen species activates the PI3K-AKT axis. Cancer Research. 72(8_Supplement). 1133–1133. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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