Michio Kimura

117 papers receiving 1.8k citations

Peers

Michio Kimura
Comparison fields: 5 of 136
  • Toxicology 152
  • Genetics 491
  • Pharmacology 152
  • Hepatology 107
  • Health Informatics 18
Replace Janet E. Olson with:
Janet E. Olson United States
Anna Bauer‐Mehren United States
Melissa Basford United States
Lang Li United States
Elizabeth J. Murphy United States
Andrea Jorgensen United Kingdom
Lang Li United States
Andrea H. Ramirez United States
Harriet Rumgay France
Axel Haferkamp Germany
Michio Kimura relative to Janet E. Olson United States Janet E. Olson's profile →
Citations per field
00.5×2.7×
Janet E. Olson · 1×
Citations per year

Countries citing papers authored by Michio Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Michio Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estrogen sulfotransferase and steroid sulfatase in human breast carcinoma.
2003164
2 1994153
3 201192
4 200362
5 199659
6 197659
7 199456
8 201956
9 201348
10 201347
11 201545
12 198043
13 201637
14 199336
15 200934
16 201532
17 200132
18 199932
19 201431
20
17 beta-Hydroxysteroid dehydrogenase type 1 and type 2 in ductal carcinoma in situ and intraductal proliferative lesions of the human breast.
200028

About Michio Kimura

Michio Kimura is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Epidemiology and Toxicology, having authored 129 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), Pharmacovigilance and Adverse Drug Reactions (9 papers), Estrogen and related hormone effects (8 papers), Breast Lesions and Carcinomas (8 papers), Bioactive Compounds and Antitumor Agents (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Pharmacy and Medical Practices (6 papers) and Synthesis and Characterization of Heterocyclic Compounds (5 papers). The work is most often cited by research in Toxicology (152 citations), Genetics (491 citations), Pharmacology (152 citations), Hepatology (107 citations) and Health Informatics (18 citations). Michio Kimura has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hironobu Sasano, Takuya Moriya, Takashi Suzuki, Hironobu Sasano, Hiroshi Nagura, Nobuhiro Harada, Takanori Ishida, William H. Watson, Taisuke Nakata and Shiro Akinaga. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Pharmacoepidemiology and Drug Safety, Methods of Information in Medicine, Bulletin of the Chemical Society of Japan and Journal of the American Chemical Society.

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.

Explore authors with similar magnitude of impact