Masato Naya
- Materials Chemistry top 10%
- Health, Toxicology and Mutagenesis top 2%
- Biomedical Engineering top 10%
- Pollution top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Junko NakanishiNorihiro KobayashiMakoto EmaShigehisa EndohJunko MaruKazuhiro YamamotoKohei MizunoMasao Horimoto
- Topics
- Nanoparticles: synthesis and applications (18 papers)Carcinogens and Genotoxicity Assessment (8 papers)Anesthesia and Neurotoxicity Research (7 papers)
- Partner nations
- JapanArgentinaUnited States
In The Last Decade
Masato Naya
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Materials Chemistry 646
- Health, Toxicology and Mutagenesis 376
- Biomedical Engineering 291
- Pollution 105
- Public Health, Environmental and Occupational Health 82
Countries citing papers authored by Masato Naya
This map shows the geographic impact of Masato Naya'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 Naya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Naya more than expected).
Fields of papers citing papers by Masato Naya
This network shows the impact of papers produced by Masato Naya. 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 Naya. The network helps show where Masato Naya may publish in the future.
Co-authorship network of co-authors of Masato Naya
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Naya. A scholar is included among the top collaborators of Masato Naya 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 Masato Naya. Masato Naya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 49 | |
| 3 | 26 | |
| 4 | 20 | |
| 5 | 51 | |
| 6 | 57 | |
| 7 | 36 | |
| 8 | 42 | |
| 9 | 192 | |
| 10 | 75 | |
| 11 | 11 | |
| 12 | 129 | |
| 13 | 12 | |
| 14 | 52 | |
| 15 | 17 | |
| 16 | Japan Pharmaceutical Manufacturers Association (JPMA) survey on fetal skeletal examinations : Criteria and classification | 1 |
| 17 | Effects of nitrobenzene on sperm motility in rats. | 1 |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 15 |
About Masato Naya
Masato Naya is a scholar working on Developmental Neuroscience, Chemical Health and Safety and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (18 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Anesthesia and Neurotoxicity Research (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (376 citations), Chemical Health and Safety (16 citations) and Developmental Neuroscience (76 citations). Masato Naya has collaborated with scholars based in Japan, Argentina and United States. Frequent co-authors include Junko Nakanishi, Norihiro Kobayashi, Makoto Ema, Shigehisa Endoh, Junko Maru, Makoto Ema, Kazuhiro Yamamoto, Kohei Mizuno, Masao Horimoto and Haruhisa Kato. Their work appears in journals such as Toxicology, Risk Analysis 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.