Satoshi Owada

499 citations
17 papers · 387 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Metabolism, Diabetes, and Cancer
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Histone Deacetylase Inhibitors Research 2
    • Plant-derived Lignans Synthesis and Bioactivity 2
    • Cancer, Hypoxia, and Metabolism 6

Satoshi Owada

17 papers receiving 383 citations

Peers

Satoshi Owada
Comparison fields: 5 of 69
  • Cancer Research 162
  • Molecular Biology 233
  • Oncology 68
  • Hepatology 17
  • Epidemiology 72
Replace Stacey L. Lehman with:
Stacey L. Lehman United States
Mingbo Cao China
Aristeidis E. Boukouris Canada
Lubna Qamar United States
Mengxue Yu China
Paula P. Coelho Canada
Marcela Sosa‐Garrocho Mexico
Satoshi Owada relative to Stacey L. Lehman United States Stacey L. Lehman's profile →
Citations per field
00.5×1.5×2.2×
Stacey L. Lehman · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Satoshi Owada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Satoshi Owada Line = papers co-authored together Satoshi Owada links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2014161
2 201875
3 202043
4 201321
5 201813
6 201613
7 201812
8 201711
9 202010
10 20209
11 20215
12 20175
13 20173
14 20212
15 20142
16
[Therapeutic strategies targeting cancer--specific metabolism].
20151
17 20121

About Satoshi Owada

Satoshi Owada is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Social Psychology and Ophthalmology, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Autophagy in Disease and Therapy (3 papers), Glaucoma and retinal disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Plant-derived Lignans Synthesis and Bioactivity (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (233 citations), Oncology (68 citations), Hepatology (17 citations) and Epidemiology (72 citations). Satoshi Owada has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masayuki Tatemichi, Hitoshi Endo, Hiroyasu Esumi, Katsuya Tsuchihara, Yutaka Inagaki, Shingo Matsumoto, Masahiro Takita, Hideki Makinoshima, Atsushi Yagishita and Chisa Okada. Their work appears in journals such as Scientific Reports, Anticancer Research, PLoS ONE, Cancer Research and Oncology Reports.

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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