Keiko Shibata
- Health, Toxicology and Mutagenesis top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Atmospheric Science
- Oncology
- Co-authors
- Masataka NishikawaK. SatakeTakashi MiuraManabu KunimotoKenichi SatakeJ. TakahashiHitoshi MukaiYoshinari Ambe
- Topics
- Lichen and fungal ecology (6 papers)Vehicle emissions and performance (5 papers)Bryophyte Studies and Records (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keiko Shibata
52 papers receiving 510 citations
Peers
Comparison fields: 5 of 108
- Health, Toxicology and Mutagenesis 106
- Molecular Biology 94
- Ecology, Evolution, Behavior and Systematics 73
- Atmospheric Science 67
- Oncology 64
Countries citing papers authored by Keiko Shibata
This map shows the geographic impact of Keiko Shibata'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 Keiko Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Shibata more than expected).
Fields of papers citing papers by Keiko Shibata
This network shows the impact of papers produced by Keiko Shibata. 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 Keiko Shibata. The network helps show where Keiko Shibata may publish in the future.
Co-authorship network of co-authors of Keiko Shibata
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Shibata. A scholar is included among the top collaborators of Keiko Shibata 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 Keiko Shibata. Keiko Shibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 30 | |
| 5 | Real-time Measurement of Size Distribution of Particles Emitted from Diesel Engine Equipped with DPF Effects of Engine and DPF Operating Conditions and Volatility of Ultrafine Particles | 1 |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 22 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | Antiteratogenic effects of tumor inhibitors, caffeine, antipain, and retinoic acid in mice. | 28 |
About Keiko Shibata
Keiko Shibata is a scholar working on Health, Toxicology and Mutagenesis, Complementary and Manual Therapy and Automotive Engineering, having authored 55 papers that have together received 559 indexed citations. Recurring topics across this work include Lichen and fungal ecology (6 papers), Vehicle emissions and performance (5 papers) and Bryophyte Studies and Records (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (106 citations), Geochemistry and Petrology (27 citations) and Pharmaceutical Science (25 citations). Keiko Shibata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masataka Nishikawa, K. Satake, Takashi Miura, Manabu Kunimoto, Kenichi Satake, J. Takahashi, Hitoshi Mukai, Yoshinari Ambe, Kyoji Taguchi and Seishiro Hirano. Their work appears in journals such as Nucleic Acids Research, Brain Research and British Journal of Cancer.
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.