Eiichi Kamata
- Health, Toxicology and Mutagenesis top 2%
- Cancer Research top 10%
- Pollution top 10%
- Molecular Biology
- Materials Chemistry
- Co-authors
- Akihiko HiroseMakoto EmaMutsuko Hirata‐KoizumiRyuichi HasegawaMariko MatsumotoYoshihiko ItoMika TakahashiToyozo Kaneko
- Topics
- Effects and risks of endocrine disrupting chemicals (31 papers)Carcinogens and Genotoxicity Assessment (18 papers)Animal testing and alternatives (10 papers)
- Partner nations
- JapanSri LankaUnited States
In The Last Decade
Eiichi Kamata
68 papers receiving 805 citations
Peers
Comparison fields: 5 of 123
- Health, Toxicology and Mutagenesis 466
- Cancer Research 192
- Pollution 136
- Molecular Biology 116
- Materials Chemistry 64
Countries citing papers authored by Eiichi Kamata
This map shows the geographic impact of Eiichi Kamata'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 Eiichi Kamata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Kamata more than expected).
Fields of papers citing papers by Eiichi Kamata
This network shows the impact of papers produced by Eiichi Kamata. 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 Eiichi Kamata. The network helps show where Eiichi Kamata may publish in the future.
Co-authorship network of co-authors of Eiichi Kamata
This figure shows the co-authorship network connecting the top 25 collaborators of Eiichi Kamata. A scholar is included among the top collaborators of Eiichi Kamata 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 Eiichi Kamata. Eiichi Kamata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 28 | |
| 3 | 18 | |
| 4 | 30 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 28 | |
| 12 | 31 | |
| 13 | 85 | |
| 14 | 28 | |
| 15 | O12-11 Comparative study on toxicological profile and no observed adverse effect level of 2, 4-initrophenol in newborn and young rats | 2 |
| 16 | 1 | |
| 17 | 48 | |
| 18 | Maintenance and Accuracy Control of Various Instruments for Clinical Pathology Examination in the Toxicity Study | 2 |
| 19 | EFFECTS OF METYRAPONE ON PLASMA CORTICOSTERONE LEVELS AND INCIDENCE OF CLEFT PALATE IN PREGNANT ddY-Slc MICE FED POLYCHLORINATED TERPHENYLS | 1 |
| 20 | INHALATION TOXICITY STUDY OF FORMALDEHYDE (NASAL CAVITY CANCER OF RATS) | 1 |
About Eiichi Kamata
Eiichi Kamata is a scholar working on Chemical Health and Safety, Health, Toxicology and Mutagenesis and Small Animals, having authored 68 papers that have together received 854 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (31 papers), Carcinogens and Genotoxicity Assessment (18 papers) and Animal testing and alternatives (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (466 citations), Chemical Health and Safety (13 citations) and Cancer Research (192 citations). Eiichi Kamata has collaborated with scholars based in Japan, Sri Lanka and United States. Frequent co-authors include Akihiko Hirose, Makoto Ema, Mutsuko Hirata‐Koizumi, Ryuichi Hasegawa, Mariko Matsumoto, Yoshihiko Ito, Mika Takahashi, Toyozo Kaneko, Yukio Ogawa and Makoto Ema. Their work appears in journals such as Environmental Health Perspectives, Food and Chemical Toxicology and Toxicology Letters.
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.