Ai Okamura
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
- Environmental Toxicology and Ecotoxicology
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
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- Environmental Toxicology and Ecotoxicology 5
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- Liver physiology and pathology 3
- Co-authors
- Yuki ItoYukie YanagibaMichihiro KamijimaTamie NakajimaJun UeyamaKazuyoshi TayaDaichi NakamuraYoshiaki Tagawa
- Journals
- Toxicology Letters (4 papers)Toxicology and Applied Pharmacology (3 papers)Scientific Reports (2 papers)Toxicology (2 papers)Toxicological Sciences (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ai Okamura
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 118
- Health, Toxicology and Mutagenesis 420
- Cancer Research 164
- Pollution 100
- Reproductive Medicine 70
- Plant Science 280
Countries citing papers authored by Ai Okamura
This map shows the geographic impact of Ai Okamura'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 Ai Okamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Okamura more than expected).
Fields of papers citing papers by Ai Okamura
This network shows the impact of papers produced by Ai Okamura. 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 Ai Okamura. The network helps show where Ai Okamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ai Okamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 15 | |
| 4 | 2020 | 0 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 27 | |
| 9 | 2019 | 33 | |
| 10 | 2019 | 2 | |
| 11 | 2018 | 111 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 43 | |
| 14 | 2011 | 16 | |
| 15 | 2011 | 35 | |
| 16 | 2010 | 212 | |
| 17 | 2009 | 38 | |
| 18 | 2008 | 54 | |
| 19 | 2008 | 44 | |
| 20 | 2005 | 110 |
About Ai Okamura
Ai Okamura is a scholar working on Health, Toxicology and Mutagenesis, Hepatology, Reproductive Medicine, Pollution and Pharmacology, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (11 papers), Environmental Toxicology and Ecotoxicology (5 papers), Neuroscience and Neural Engineering (4 papers), Pesticide and Herbicide Environmental Studies (4 papers), Insect and Pesticide Research (3 papers), Liver physiology and pathology (3 papers), Sperm and Testicular Function (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (420 citations), Cancer Research (164 citations), Pollution (100 citations), Reproductive Medicine (70 citations) and Plant Science (280 citations). Ai Okamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yuki Ito, Yukie Yanagiba, Michihiro Kamijima, Tamie Nakajima, Jun Ueyama, Kazuyoshi Taya, Daichi Nakamura, Yoshiaki Tagawa, Nobuyuki Asaeda and Chun Mei Li. Their work appears in journals such as Toxicology Letters, Toxicology and Applied Pharmacology, Scientific Reports, Toxicology and Toxicological Sciences.
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.