Masato Ooka
Impact in
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- Pharmacogenetics and Drug Metabolism
- Small Animals top 10%
- Animal testing and alternatives
Papers in
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- DNA Repair Mechanisms 10
- CRISPR and Genetic Engineering 5
- Cancer therapeutics and mechanisms 4
-
- Carcinogens and Genotoxicity Assessment 8
- Co-authors
- Menghang Xia (12 shared papers)Kouji Hirota (13 shared papers)Shunichi Takeda (9 shared papers)Caitlin Lynch (2 shared papers)Shu Yang (2 shared papers)Takuya Abe (6 shared papers)Ruili Huang (8 shared papers)Anton Simeonov (5 shared papers)
- Journals
- PLoS ONE (3 papers)DNA repair (2 papers)Chemosphere (2 papers)Scientific Reports (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Masato Ooka
21 papers receiving 408 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 33
- Small Animals 26
- Molecular Biology 228
- Cancer Research 49
- Computational Theory and Mathematics 44
Countries citing papers authored by Masato Ooka
This map shows the geographic impact of Masato Ooka'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 Masato Ooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Ooka more than expected).
Fields of papers citing papers by Masato Ooka
This network shows the impact of papers produced by Masato Ooka. 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 Masato Ooka. The network helps show where Masato Ooka may publish in the future.
Co-authors
The 25 scholars most cited alongside Masato Ooka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 47 | |
| 2 | 2020 | 38 | |
| 3 | 2017 | 35 | |
| 4 | 2020 | 34 | |
| 5 | 2021 | 29 | |
| 6 | 2018 | 29 | |
| 7 | 2022 | 25 | |
| 8 | 2022 | 23 | |
| 9 | 2023 | 23 | |
| 10 | 2019 | 18 | |
| 11 | 2018 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2015 | 13 | |
| 14 | 2015 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2024 | 8 | |
| 18 | 1976 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 4 |
About Masato Ooka
Masato Ooka is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Oncology and Plant Science, having authored 24 papers that have together received 410 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Carcinogens and Genotoxicity Assessment (8 papers), CRISPR and Genetic Engineering (5 papers), Cancer therapeutics and mechanisms (4 papers), 3D Printing in Biomedical Research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Computational Drug Discovery Methods (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Pharmacology (33 citations), Small Animals (26 citations), Molecular Biology (228 citations), Cancer Research (49 citations) and Computational Theory and Mathematics (44 citations). Masato Ooka has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Menghang Xia, Kouji Hirota, Shunichi Takeda, Caitlin Lynch, Shu Yang, Takuya Abe, Ruili Huang, Anton Simeonov, Hiroyuki Sasanuma and Dana Branzei. Their work appears in journals such as PLoS ONE, DNA repair, Chemosphere, Scientific Reports and Frontiers in Bioengineering and Biotechnology.
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.