Michihiro Mutoh

6.4k citations
168 papers · 4.8k indexed · 1 hit paper · h-index 33

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
  • Pharmacology top 0.5%
    • Inflammatory mediators and NSAID effects

Papers in

Michihiro Mutoh

161 papers receiving 4.6k citations

Hit Papers

Characterization of the p53 tumor suppressor pathway in cell lines of the National Cancer Institute anticancer drug screen and correlations with the growth-inhibitory potency of 123 anticancer agents. 1997 · 760 citations
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Peers

Michihiro Mutoh
Comparison fields: 5 of 131
  • Cancer Research 954
  • Pharmacology 937
  • Oncology 1.4k
  • Biotechnology 278
  • Biochemistry 191
Replace Jong Soon Kang with:
Jong Soon Kang South Korea
Na Lu China
Sung‐Kwon Moon South Korea
Ya‐Ling Hsu Taiwan
Chi‐Tai Yeh Taiwan
Yi‐Hsien Hsieh Taiwan
Feng Zhu China
Jong‐Wook Park South Korea
Jih‐Hwa Guh Taiwan
Jingjing Li China
Michihiro Mutoh relative to Jong Soon Kang South Korea Jong Soon Kang's profile →
Citations per field
00.5×1.5×2.4×
Jong Soon Kang · 1×
Citations per year

Countries citing papers authored by Michihiro Mutoh

Since Specialization
Citations

This map shows the geographic impact of Michihiro Mutoh'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 Michihiro Mutoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michihiro Mutoh more than expected).

Fields of papers citing papers by Michihiro Mutoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michihiro Mutoh. 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 Michihiro Mutoh. The network helps show where Michihiro Mutoh may publish in the future.

Co-authors

The 25 scholars most cited alongside Michihiro Mutoh, 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 Michihiro Mutoh Line = papers co-authored together Michihiro Mutoh links everyone, so they are left out of the graph.

All Works

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Possible Involvement of Pancreatic Fatty Infiltration in Pancreatic Carcinogenesis
20163
20 200819

About Michihiro Mutoh

Michihiro Mutoh is a scholar working on Cancer Research, Pharmacology, Applied Microbiology and Biotechnology, Biotechnology and Oncology, having authored 168 papers that have together received 4.8k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (29 papers), Cancer, Lipids, and Metabolism (24 papers), Genetic factors in colorectal cancer (19 papers), Helicobacter pylori-related gastroenterology studies (14 papers), Pancreatic and Hepatic Oncology Research (13 papers), Gastric Cancer Management and Outcomes (13 papers), Cancer Research and Treatments (13 papers) and Seaweed-derived Bioactive Compounds (13 papers). The work is most often cited by research in Cancer Research (954 citations), Pharmacology (937 citations), Oncology (1.4k citations), Biotechnology (278 citations) and Biochemistry (191 citations). Michihiro Mutoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mami Takahashi, Keiji Wakabayashi, Takashi Sügimura, Toshihiko Kawamori, Kazunori Fukuda, I Bae, Joany Jackman, Dominic A. Scudiero, Stephen Friend and Edward A. Sausville. Their work appears in journals such as Cancer Science, Journal of Clinical Biochemistry and Nutrition, Carcinogenesis, Genes and Environment and International Journal of Molecular Sciences.

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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