Eriko Koketsu

727 total citations
9 papers, 522 citations indexed

About

Eriko Koketsu is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Eriko Koketsu has authored 9 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Eriko Koketsu's work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Disease Resistance and Genetics (3 papers) and Bioenergy crop production and management (2 papers). Eriko Koketsu is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Disease Resistance and Genetics (3 papers) and Bioenergy crop production and management (2 papers). Eriko Koketsu collaborates with scholars based in Japan, China and Philippines. Eriko Koketsu's co-authors include Makoto Matsuoka, Ko Hirano, Miyako Ueguchi‐Tanaka, Mayuko Kawamura, Hideki Yoshida, Kenji Yano, Sayaka Takehara, Sumie Ishiguro, Tomomi Sato and Nobutaka Mitsuda and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Eriko Koketsu

9 papers receiving 518 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eriko Koketsu Japan	7	439	238	116	48	32	9	522
Edoardo Bertolini Italy	13	453 1.0×	253 1.1×	70 0.6×	26 0.5×	33 1.0×	22	534
Roshi Shrestha United Kingdom	11	568 1.3×	168 0.7×	178 1.5×	27 0.6×	26 0.8×	14	591
Cristian Forestan Italy	15	819 1.9×	512 2.2×	100 0.9×	28 0.6×	48 1.5×	28	861
Yadong Xue China	14	480 1.1×	176 0.7×	272 2.3×	28 0.6×	49 1.5×	28	597
Haibin Wei China	12	668 1.5×	205 0.9×	216 1.9×	18 0.4×	29 0.9×	19	745
Michael K. Wanous United States	9	647 1.5×	280 1.2×	189 1.6×	35 0.7×	43 1.3×	11	695
Zhanyuan Lu China	11	372 0.8×	115 0.5×	88 0.8×	39 0.8×	76 2.4×	44	454
Oliver R.A. Corea Canada	7	189 0.4×	246 1.0×	61 0.5×	34 0.7×	16 0.5×	8	356
Ruci Wang China	9	482 1.1×	183 0.8×	210 1.8×	15 0.3×	14 0.4×	11	540

Countries citing papers authored by Eriko Koketsu

Since Specialization

Citations

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

Fields of papers citing papers by Eriko Koketsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eriko Koketsu

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

All Works

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9 of 9 papers shown

Suganami, Mao, Soichi Kojima, Hideki Yoshida, et al.. (2024). Low mutation rate of spontaneous mutants enables detection of causative genes by comparing whole genome sequences. Frontiers in Plant Science. 15. 1366413–1366413. 1 indexed citations

Suganami, Mao, Hideki Yoshida, Shinya Yoshida, et al.. (2024). Redefining awn development in rice through the breeding history of Japanese awn reduction. Frontiers in Plant Science. 15. 1370956–1370956. 2 indexed citations

Yoshida, Hideki, Ko Hirano, Kenji Yano, et al.. (2022). Genome-wide association study identifies a gene responsible for temperature-dependent rice germination. Nature Communications. 13(1). 5665–5665. 37 indexed citations

Nakamura, Haruki, Eriko Koketsu, Kotaro Miura, et al.. (2021). The dominance model for heterosis explains culm length genetics in a hybrid sorghum variety. Scientific Reports. 11(1). 4532–4532. 20 indexed citations

Wang, Fanmiao, Kenji Yano, Eriko Koketsu, et al.. (2020). Genome‐wide expression quantitative trait locus studies facilitate isolation of causal genes controlling panicle structure. The Plant Journal. 103(1). 266–278. 10 indexed citations

Yano, Kenji, Yoichi Morinaka, Fanmiao Wang, et al.. (2019). GWAS with principal component analysis identifies a gene comprehensively controlling rice architecture. Proceedings of the National Academy of Sciences. 116(42). 21262–21267. 145 indexed citations

Yoshida, Hideki, Kenji Yano, Eriko Koketsu, et al.. (2017). OsIDD2, a zinc finger and INDETERMINATE DOMAIN protein, regulates secondary cell wall formation. Journal of Integrative Plant Biology. 60(2). 130–143. 36 indexed citations

Yoshida, Hideki, Ko Hirano, Tomomi Sato, et al.. (2014). DELLA protein functions as a transcriptional activator through the DNA binding of the INDETERMINATE DOMAIN family proteins. Proceedings of the National Academy of Sciences. 111(21). 7861–7866. 214 indexed citations

Yano, Kenji, Koichiro Aya, Ko Hirano, et al.. (2014). Antheridiogen determines sex in ferns via a spatiotemporally split gibberellin synthesis pathway. Science. 346(6208). 469–473. 57 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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