Masahiko Ichii
- Plant Science top 1%
- Molecular Biology
- Geochemistry and Petrology top 2%
- Genetics
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Shin TaketaKazunori TamaiJian FengTory ChhunSeiji TsurumiTakahisa YuoShoichi KikuchiShinji Kawasaki
- Topics
- Plant nutrient uptake and metabolism (30 papers)Plant Molecular Biology Research (18 papers)Rice Cultivation and Yield Improvement (17 papers)
In The Last Decade
Masahiko Ichii
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 70
- Plant Science 1.7k
- Molecular Biology 398
- Geochemistry and Petrology 243
- Genetics 134
- Ecology, Evolution, Behavior and Systematics 84
Countries citing papers authored by Masahiko Ichii
This map shows the geographic impact of Masahiko Ichii'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 Masahiko Ichii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Ichii more than expected).
Fields of papers citing papers by Masahiko Ichii
This network shows the impact of papers produced by Masahiko Ichii. 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 Masahiko Ichii. The network helps show where Masahiko Ichii may publish in the future.
Co-authorship network of co-authors of Masahiko Ichii
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Ichii. A scholar is included among the top collaborators of Masahiko Ichii 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 Masahiko Ichii. Masahiko Ichii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 84 | |
| 2 | 53 | |
| 3 | 34 | |
| 4 | 9 | |
| 5 | 99 | |
| 6 | 9 | |
| 7 | 43 | |
| 8 | 63 | |
| 9 | 49 | |
| 10 | 14 | |
| 11 | 51 | |
| 12 | Effect of Jasmonic Acid on Lateral Root Formation in Rice Seedling | 10 |
| 13 | 271 | |
| 14 | ROLE OF ROOT HAIRS AND LATERAL ROOTS IN SILICON UPTAKE BY RICE PLANTS | 1 |
| 15 | Plant hormone resistance and agronomic characteristics of the MT10 mutant in rice. | 1 |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 15 | |
| 19 | 11 | |
| 20 | Effect of semidwarfing gene on the morphological and physiological traits of roots in rice seedlings. | 1 |
About Masahiko Ichii
Masahiko Ichii is a scholar working on Plant Science, Geochemistry and Petrology and Ecology, Evolution, Behavior and Systematics, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant nutrient uptake and metabolism (30 papers), Plant Molecular Biology Research (18 papers) and Rice Cultivation and Yield Improvement (17 papers). The work is most often cited by research in Plant Science (1.7k citations), Geochemistry and Petrology (243 citations) and Environmental Chemistry (77 citations). Masahiko Ichii has collaborated with scholars based in Japan, China and Australia. Frequent co-authors include Shin Taketa, Kazunori Tamai, Jian Feng, Tory Chhun, Seiji Tsurumi, Takahisa Yuo, Shoichi Kikuchi, Shinji Kawasaki, Masatoshi Takagi and Hiroshi Hasegawa. Their work appears in journals such as PLANT PHYSIOLOGY, Journal of Experimental Botany and Plant Cell & Environment.
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.