Eiko Himi
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Plant Science top 5%
- Seed Germination and Physiology
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
- Plant Genetic and Mutation Studies
Papers in
-
- Rice Cultivation and Yield Improvement 6
- Seed Germination and Physiology 5
- GABA and Rice Research 5
- Plant Genetic and Mutation Studies 5
-
- Phytochemicals and Antioxidant Activities 5
- Co-authors
- Kazuhiko Noda (9 shared papers)Masahiko Maekawa (16 shared papers)Shin Taketa (6 shared papers)H. Miura (2 shared papers)Daryl J. Mares (1 shared paper)Yuko T. Yamashita (1 shared paper)Kazuo Tsugane (5 shared papers)Naoto Haruyama (1 shared paper)
In The Last Decade
Eiko Himi
30 papers receiving 964 citations
Peers
Comparison fields: 5 of 44
- Biochemistry 156
- Plant Science 753
- Agronomy and Crop Science 151
- Molecular Biology 450
- Genetics 115
Countries citing papers authored by Eiko Himi
This map shows the geographic impact of Eiko Himi'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 Eiko Himi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiko Himi more than expected).
Fields of papers citing papers by Eiko Himi
This network shows the impact of papers produced by Eiko Himi. 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 Eiko Himi. The network helps show where Eiko Himi may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiko Himi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 143 | |
| 2 | 2002 | 142 | |
| 3 | 2005 | 131 | |
| 4 | 2005 | 94 | |
| 5 | 2004 | 75 | |
| 6 | 2015 | 56 | |
| 7 | 2011 | 48 | |
| 8 | 2011 | 36 | |
| 9 | 2010 | 34 | |
| 10 | 2015 | 26 | |
| 11 | 2003 | 24 | |
| 12 | 2013 | 23 | |
| 13 | 1996 | 20 | |
| 14 | 2008 | 18 | |
| 15 | 2019 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2016 | 14 | |
| 19 | 2019 | 12 | |
| 20 | 2019 | 8 |
About Eiko Himi
Eiko Himi is a scholar working on Plant Science, Biochemistry, Genetics, Molecular Biology and Agronomy and Crop Science, having authored 32 papers that have together received 990 indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (13 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Rice Cultivation and Yield Improvement (6 papers), Plant tissue culture and regeneration (6 papers), Phytochemicals and Antioxidant Activities (5 papers), Seed Germination and Physiology (5 papers), GABA and Rice Research (5 papers) and Plant Genetic and Mutation Studies (5 papers). The work is most often cited by research in Biochemistry (156 citations), Plant Science (753 citations), Agronomy and Crop Science (151 citations), Molecular Biology (450 citations) and Genetics (115 citations). Eiko Himi has collaborated with scholars based in Japan, Pakistan and Australia. Frequent co-authors include Kazuhiko Noda, Masahiko Maekawa, Shin Taketa, H. Miura, Daryl J. Mares, Yuko T. Yamashita, Kazuo Tsugane, Naoto Haruyama, Takakazu Matsuura and Hidekazu Takahashi. Their work appears in journals such as Euphytica, Ikushugaku zasshi, Plant and Cell Physiology, Journal of Experimental Botany and Theoretical and Applied Genetics.
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.