Atsuko Matsuoka
- Cancer Research top 2%
- Molecular Biology top 10%
- Health, Toxicology and Mutagenesis top 2%
- Plant Science top 5%
- Surgery
- Co-authors
- Toshio SofuniMakoto HayashiMotoi IshidateT. NohmiM. SawadaK. YoshikawaKazuo IsamaTakayoshi Suzuki
- Topics
- Carcinogens and Genotoxicity Assessment (27 papers)DNA Repair Mechanisms (18 papers)Effects and risks of endocrine disrupting chemicals (12 papers)
- Partner nations
- JapanSwedenUnited States
In The Last Decade
Atsuko Matsuoka
91 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 969
- Molecular Biology 822
- Health, Toxicology and Mutagenesis 518
- Plant Science 426
- Surgery 161
Countries citing papers authored by Atsuko Matsuoka
This map shows the geographic impact of Atsuko Matsuoka'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 Atsuko Matsuoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuko Matsuoka more than expected).
Fields of papers citing papers by Atsuko Matsuoka
This network shows the impact of papers produced by Atsuko Matsuoka. 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 Atsuko Matsuoka. The network helps show where Atsuko Matsuoka may publish in the future.
Co-authorship network of co-authors of Atsuko Matsuoka
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Matsuoka. A scholar is included among the top collaborators of Atsuko Matsuoka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsuko Matsuoka. Atsuko Matsuoka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 8 | |
| 3 | Primary aldosteronism associated with subclinical Cushing syndrome | 21 |
| 4 | 44 | |
| 5 | 34 | |
| 6 | 21 | |
| 7 | Sensitive detection of aneugens and convenient prediction of the mechanisms of action using the in vitro micronucleus test | 1 |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 65 | |
| 11 | 天然に存在するポリフェノールであるレスベラトロールはチャイニーズハムスターの肺(CHL)細胞株における姉妹染色体分体交換を誘導する | 26 |
| 12 | In vitro clastogenicity of 19 organic chemicals found in contaminated water and 7 structurally related chemicals | 8 |
| 13 | 29 | |
| 14 | 47 | |
| 15 | 23 | |
| 16 | 2 | |
| 17 | 20 | |
| 18 | 17 | |
| 19 | 38 | |
| 20 | 31 |
About Atsuko Matsuoka
Atsuko Matsuoka is a scholar working on Chemical Health and Safety, Cancer Research and Geriatrics and Gerontology, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (27 papers), DNA Repair Mechanisms (18 papers) and Effects and risks of endocrine disrupting chemicals (12 papers). The work is most often cited by research in Cancer Research (969 citations), Chemical Health and Safety (32 citations) and Health, Toxicology and Mutagenesis (518 citations). Atsuko Matsuoka has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Toshio Sofuni, Makoto Hayashi, Motoi Ishidate, T. Nohmi, M. Sawada, K. Yoshikawa, Kazuo Isama, Takayoshi Suzuki, Naoki Miyata and N. Yamazaki. Their work appears in journals such as Clinical Chemistry, Journal of Biomedical Materials Research and Food and Chemical Toxicology.
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.