Ikuko Kodama

857 total citations · 1 hit paper
12 papers, 671 citations indexed

About

Ikuko Kodama is a scholar working on Plant Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Ikuko Kodama has authored 12 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Nutrition and Dietetics and 1 paper in Molecular Biology. Recurrent topics in Ikuko Kodama's work include Rice Cultivation and Yield Improvement (6 papers), Plant Stress Responses and Tolerance (3 papers) and Aluminum toxicity and tolerance in plants and animals (3 papers). Ikuko Kodama is often cited by papers focused on Rice Cultivation and Yield Improvement (6 papers), Plant Stress Responses and Tolerance (3 papers) and Aluminum toxicity and tolerance in plants and animals (3 papers). Ikuko Kodama collaborates with scholars based in Japan and Switzerland. Ikuko Kodama's co-authors include Tomohiko Kawamoto, Akio Watanabe, Kenji Sakurai, Namiko Satoh‐Nagasawa, Hidekazu Takahashi, Tatsuhito Fujimura, Hiromori Akagi, Nobushige Nakazawa, Saki Adachi and Shinichi Matsumoto and has published in prestigious journals such as New Phytologist, Theoretical and Applied Genetics and Journal of Cereal Science.

In The Last Decade

Ikuko Kodama

12 papers receiving 659 citations

Hit Papers

OsHMA3, a P1B‐type of ATPase affects root‐to‐shoot cadmiu... 2010 2026 2015 2020 2010 100 200 300 400

Peers

Ikuko Kodama
Ikuko Kodama
Citations per year, relative to Ikuko Kodama Ikuko Kodama (= 1×) peers Jia‐Shi Peng

Countries citing papers authored by Ikuko Kodama

Since Specialization
Citations

This map shows the geographic impact of Ikuko Kodama'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 Ikuko Kodama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuko Kodama more than expected).

Fields of papers citing papers by Ikuko Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ikuko Kodama. 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 Ikuko Kodama. The network helps show where Ikuko Kodama may publish in the future.

Co-authorship network of co-authors of Ikuko Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuko Kodama. A scholar is included among the top collaborators of Ikuko Kodama 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 Ikuko Kodama. Ikuko Kodama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Obara, Mitsuhiro, Yoshihiro Kaneta, Ikuko Kodama, et al.. (2022). Contribution of the grain size QTL <i>GS3</i> to yield properties and physiological nitrogen-use efficiency in the large-grain rice cultivar ‘Akita 63’. Breeding Science. 72(2). 124–131. 4 indexed citations
2.
Takahashi, Ryuichi, Masashi Ito, Ikuko Kodama, et al.. (2020). Breeding and characterization of the high cadmium-accumulating rice line ‘Akita 119’. Breeding Science. 70(5). 631–636. 3 indexed citations
3.
Suzuki, Yuta, Yuko Hosaka, Ryuichi Takahashi, et al.. (2019). Effect of high temperature on starch biosynthetic enzymes and starch structure in japonica rice cultivar ‘Akitakomachi’ (Oryza sativa L.) endosperm and palatability of cooked rice. Journal of Cereal Science. 87. 209–214. 35 indexed citations
4.
Matsunami, Toshinori, et al.. (2016). Characterization of the morphological and physiological traits of rice cultivars with adaptation to unflooded condition during early vegetative growth. Plant Production Science. 19(1). 173–180. 1 indexed citations
5.
Matsunami, Toshinori, et al.. (2013). Genotypic Variation in Nitrogen Uptake during Early Growth among Rice Cultivars under Different Soil Moisture Regimes. Plant Production Science. 16(3). 238–246. 13 indexed citations
7.
Kodama, Ikuko, Naoko Fujita, Toru Takahashi, et al.. (2011). Starch Properties of <i>Waxy</i> Rice Cultivars Influencing Rice Cake Hardening. Japan Journal of Food Engineering. 12(4). 157–162. 14 indexed citations
8.
Takahashi, Saori, Tetsuo Tokiwano, Keishi Hata, et al.. (2010). The Occurrence of Renin Inhibitor in Rice: Isolation, Identification, and Structure-Function Relationship. Bioscience Biotechnology and Biochemistry. 74(8). 1713–1715. 12 indexed citations
9.
Adachi, Saki, Nobushige Nakazawa, Tomohiko Kawamoto, et al.. (2010). OsHMA3, a P1B‐type of ATPase affects root‐to‐shoot cadmium translocation in rice by mediating efflux into vacuoles. New Phytologist. 189(1). 190–199. 485 indexed citations breakdown →
10.
Kodama, Ikuko, Shinichi Matsumoto, Tomohiko Kawamoto, et al.. (2009). A single recessive gene controls cadmium translocation in the cadmium hyperaccumulating rice cultivar Cho-Ko-Koku. Theoretical and Applied Genetics. 120(6). 1175–1182. 84 indexed citations
11.
Kawamoto, Tomohiko, et al.. (2008). Correlation of Nodal Position of Spikelet in Panicle and Date of Anthesis with the Grain Ripening of Rice. Japanese Journal of Crop Science. 77(2). 191–197. 3 indexed citations
12.
Kawamoto, Tomohiko, et al.. (2004). Nodal difference in spikelet fertility and grain ripening on the panicles of cold-tolerant and-susceptible rice cultivars. Japanese Journal of Crop Science. 73(2). 204–211. 1 indexed citations

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.

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