Michio Kimura

120 papers receiving 2.0k citations

Peers

Michio Kimura
Comparison fields: 5 of 140
  • Toxicology 144
  • Genetics 463
  • Pharmacology 130
  • Hepatology 105
  • Oncology 306
Replace Elizabeth J. Murphy with:
Elizabeth J. Murphy United States
Harriet Rumgay France
Angela N. Giaquinto United States
Barnett S. Kramer United States
Gideon Y. Stein Israel
Axel Haferkamp Germany
Kristine R. Crews United States
D M Roden United States
Barry R. Goldspiel United States
Jogarao Gobburu United States
Michio Kimura relative to Elizabeth J. Murphy United States Elizabeth J. Murphy's profile →
Citations per field
00.5×7.5×
Elizabeth J. Murphy · 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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estrogen sulfotransferase and steroid sulfatase in human breast carcinoma.
2003167
2 1994157
3 201196
4 200364
5 197664
6 199663
7 199462
8 201960
9 201351
10 201349
11 201548
12 198046
13 199338
14 201637
15 198436
16 200935
17 198634
18 200132
19 201532
20 199932

About Michio Kimura

Michio Kimura is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Toxicology and Pulmonary and Respiratory Medicine, having authored 136 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), Estrogen and related hormone effects (8 papers), Breast Lesions and Carcinomas (8 papers), Pharmacovigilance and Adverse Drug Reactions (8 papers), Bioactive Compounds and Antitumor Agents (7 papers), Digital Radiography and Breast Imaging (6 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers) and Pharmacy and Medical Practices (6 papers). The work is most often cited by research in Toxicology (144 citations), Genetics (463 citations), Pharmacology (130 citations), Hepatology (105 citations) and Oncology (306 citations). Michio Kimura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hironobu Sasano, Takuya Moriya, Takashi Suzuki, Hironobu Sasano, Hiroshi Nagura, Nobuhiro Harada, Takanori Ishida, William H. Watson, Noriaki Ohuchi and Rikiya Abe. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Pharmacoepidemiology and Drug Safety, Bulletin of the Chemical Society of Japan, Journal of the American Chemical Society and Methods of Information in Medicine.

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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