Keiko Watanabe
- Molecular Biology
- Physiology top 1%
- Sensory Systems top 5%
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- Norio KurosawaAkihiko YamagishiTatsuki TodaTakatoshi OhkuriShin‐ichi YokoboriShuichi EnomotoShinichiro KaminoNorio Nagao
- Topics
- Genomics and Phylogenetic Studies (4 papers)Composting and Vermicomposting Techniques (4 papers)Analytical Chemistry and Chromatography (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keiko Watanabe
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 480
- Physiology 203
- Sensory Systems 133
- Cellular and Molecular Neuroscience 120
- Physiology 112
Countries citing papers authored by Keiko Watanabe
This map shows the geographic impact of Keiko Watanabe'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 Watanabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Watanabe more than expected).
Fields of papers citing papers by Keiko Watanabe
This network shows the impact of papers produced by Keiko Watanabe. 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 Watanabe. The network helps show where Keiko Watanabe may publish in the future.
Co-authorship network of co-authors of Keiko Watanabe
This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Watanabe. A scholar is included among the top collaborators of Keiko Watanabe 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 Watanabe. Keiko Watanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 46 | |
| 4 | Shear Stress Measurements During High-Speed Impacts with Sand and Glass Beads | 1 |
| 5 | 10 | |
| 6 | 1 | |
| 7 | Plasma and solar array arcing caused by space debris impact | 1 |
| 8 | 11 | |
| 9 | 41 | |
| 10 | 77 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 68 | |
| 14 | The Spectrum of Hematopoietic Neoplasms in p53-deficient C3H/He Mice -Compared with the Bone Marrow Repopulated Mice with p53 Deficient Bone Marrow Cells- | 1 |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | 52 | |
| 20 | 2 |
About Keiko Watanabe
Keiko Watanabe is a scholar working on Soil Science, Molecular Biology and Spectroscopy, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Composting and Vermicomposting Techniques (4 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Physiology (203 citations), Sensory Systems (133 citations) and Biochemistry (51 citations). Keiko Watanabe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Norio Kurosawa, Akihiko Yamagishi, Tatsuki Toda, Takatoshi Ohkuri, Shin‐ichi Yokobori, Shuichi Enomoto, Shinichiro Kamino, Norio Nagao, Kazutake Tsujikawa and So‐ichiro Fukada. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Journal of Molecular Biology.
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.