Tomoko Muto

683 citations
27 papers · 548 · h-index 12

Impact in

Papers in

Tomoko Muto

27 papers receiving 540 citations

Peers

Tomoko Muto
Comparison fields: 5 of 82
  • Biochemistry 152
  • Cancer Research 81
  • Health, Toxicology and Mutagenesis 78
  • Molecular Biology 246
  • Oncology 78
Replace Yong-Won Kwon with:
Yong-Won Kwon Japan
Michał Toborek Poland
Jian Yi United States
Nathaniel Magilnick United States
Yun Sun China
Suryanarayana Vepa United States
Stefanie Maurer Germany
William M. Scribner United States
Hannah Lee United States
Kozo Ishidate Japan
Tomoko Muto relative to Yong-Won Kwon Japan Yong-Won Kwon's profile →
Citations per field
00.5×3.1×
Yong-Won Kwon · 1×
Citations per year

Countries citing papers authored by Tomoko Muto

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Muto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008202
2 2006109
3 200330
4 200228
5 200318
6 200718
7 200318
8 200514
9 200413
10
Sex-associated difference in estrogen receptor β expression in N-methyl-N'-nitro-N-nitrosoguanidine-induced gastric cancers in rats.
201113
11 200512
12 201112
13 200110
14 20049
15 19978
16 20117
17 20035
18 20075
19 20034
20 20223

About Tomoko Muto

Tomoko Muto is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Oncology and Genetics, having authored 27 papers that have together received 548 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Toxic Organic Pollutants Impact (8 papers), Estrogen and related hormone effects (3 papers), Sperm and Testicular Function (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Biochemistry (152 citations), Cancer Research (81 citations), Health, Toxicology and Mutagenesis (78 citations), Molecular Biology (246 citations) and Oncology (78 citations). Tomoko Muto has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Hitoshi Endou, Yoshikatsu Kanai, Shin Wakui, Hiroshi Hano, Masakuni Furusato, Hiroyuki Takahashi, Isao Okayasu, Takeshi Sakata, Akinori Ueno and Shiro Baba. Their work appears in journals such as Toxicology, Archives of Toxicology, Biomacromolecules, Reproductive Toxicology and Animal Science Journal.

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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