Mikiko Yanaka

566 total citations
36 papers, 448 citations indexed

About

Mikiko Yanaka is a scholar working on Plant Science, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Mikiko Yanaka has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 8 papers in Nutrition and Dietetics and 7 papers in Molecular Biology. Recurrent topics in Mikiko Yanaka's work include Wheat and Barley Genetics and Pathology (22 papers), Food composition and properties (8 papers) and Plant Disease Resistance and Genetics (6 papers). Mikiko Yanaka is often cited by papers focused on Wheat and Barley Genetics and Pathology (22 papers), Food composition and properties (8 papers) and Plant Disease Resistance and Genetics (6 papers). Mikiko Yanaka collaborates with scholars based in Japan, China and Egypt. Mikiko Yanaka's co-authors include Kanenori Takata, Tatsuya M. Ikeda, Naoyuki Ishikawa, Takashi Nagamine, Hiroyuki Tanaka, Hisashi Tsujimoto, Monika Garg, Shūichi Iida, Kanae Ashida and Etsuko Araki and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Theoretical and Applied Genetics and Journal of Cereal Science.

In The Last Decade

Mikiko Yanaka

31 papers receiving 422 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mikiko Yanaka 304 121 103 66 40 36 448
Torit Baran Bagchi 397 1.3× 166 1.4× 53 0.5× 93 1.4× 10 0.3× 31 574
Ahmed M. Abdelghany 554 1.8× 61 0.5× 65 0.6× 53 0.8× 80 2.0× 47 675
C. Parameswaran 634 2.1× 171 1.4× 169 1.6× 101 1.5× 15 0.4× 89 823
Girish Chandel 462 1.5× 76 0.6× 147 1.4× 38 0.6× 24 0.6× 48 602
E. Gregová 411 1.4× 72 0.6× 94 0.9× 55 0.8× 85 2.1× 54 521
Sandhya Sharma 278 0.9× 23 0.2× 89 0.9× 65 1.0× 22 0.6× 47 399
Isabelle Nadaud 348 1.1× 100 0.8× 188 1.8× 44 0.7× 66 1.6× 19 497
Kanenori Takata 499 1.6× 297 2.5× 54 0.5× 144 2.2× 54 1.4× 63 689
Himani Punia 312 1.0× 51 0.4× 114 1.1× 71 1.1× 36 0.9× 24 481
Jinfeng Gao 291 1.0× 198 1.6× 73 0.7× 184 2.8× 58 1.4× 35 507

Countries citing papers authored by Mikiko Yanaka

Since Specialization
Citations

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

Fields of papers citing papers by Mikiko Yanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikiko Yanaka

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

All Works

20 of 20 papers shown
1.
Kato, Keita, Yusuke Ban, Mikiko Yanaka, et al.. (2025). <i>Psy-E1</i> derived from <i>Thinopyrum ponticum</i> contributes strong yellowness to durum wheat but may cause yield loss in Japan. Breeding Science. 75(2). 93–101.
2.
Mizuno, Nobuyuki, Hitoshi Matsunaka, Mikiko Yanaka, et al.. (2023). Natural variations of wheat EARLY FLOWERING 3 highlight their contributions to local adaptation through fine-tuning of heading time. Theoretical and Applied Genetics. 136(6). 139–139. 10 indexed citations
3.
Mizuno, Nobuyuki, Hitoshi Matsunaka, Mikiko Yanaka, et al.. (2022). Allelic variations of <i>Vrn-1</i> and <i>Ppd-1</i> genes in Japanese wheat varieties reveal the genotype-environment interaction for heading time. Breeding Science. 72(5). 343–354. 7 indexed citations
4.
Kato, Keita, Wakako Maruyama‐Funatsuki, Mikiko Yanaka, Yusuke Ban, & Kanenori Takata. (2017). Improving preharvest sprouting resistance in durum wheat with bread wheat genes. Breeding Science. 67(5). 466–471. 9 indexed citations
5.
6.
Ishikawa, Naoyuki, et al.. (2015). Effects of Ammonium Chloride Fertilizer and its Application Stage on Cadmium Concentrations in Wheat (Triticum aestivumL.) Grain. Plant Production Science. 18(2). 137–145. 28 indexed citations
7.
Garg, Monika, Mikiko Yanaka, Hiroyuki Tanaka, & Hisashi Tsujimoto. (2014). Introgression of useful genes from Thinopyrum intermedium to wheat for improvement of bread‐making quality. Plant Breeding. 133(3). 327–334. 10 indexed citations
8.
Yanaka, Mikiko, et al.. (2012). 6-Benzylaminopurine treatment induces increased pubescence on wheat leaves. Plant Growth Regulation. 67(1). 19–25. 3 indexed citations
9.
Yanaka, Mikiko, et al.. (2011). Chromosome 5H of Hordeum species involved in reduction in grain hardness in wheat genetic background. Theoretical and Applied Genetics. 123(6). 1013–1018. 11 indexed citations
10.
Yanaka, Mikiko, Kanenori Takata, Tatsuya M. Ikeda, & Naoyuki Ishikawa. (2011). Effect of Protein Content on the Quantity and Size Distribution of Polymeric Protein in Common Wheat. Japanese Journal of Crop Science. 80(1). 77–83. 1 indexed citations
11.
Araki, Etsuko, Tatsuya M. Ikeda, Kanae Ashida, et al.. (2009). Effects of Rice Flour Properties on Specific Loaf Volume of One-loaf Bread Made from Rice Flour with Wheat Vital Gluten. Food Science and Technology Research. 15(4). 439–448. 69 indexed citations
12.
Ikeda, Tatsuya M., et al.. (2009). Genetic Diversity of High Molecular Weight Glutenin Subunit (HMW-GS) Composition in Common Wheat Landraces from Xinjiang,China. Journal of Pharmaceutical and Biomedical Sciences. 17(6). 1070–1074. 1 indexed citations
13.
Sasano, Yu, Hiroya Yurimoto, Mikiko Yanaka, & Yasuyoshi Sakai. (2008). Trm1p, a Zn(II) 2 Cys 6 -Type Transcription Factor, Is a Master Regulator of Methanol-Specific Gene Activation in the Methylotrophic Yeast Candida boidinii. Eukaryotic Cell. 7(3). 527–536. 33 indexed citations
14.
Takata, Kanenori, Mikiko Yanaka, Tatsuya M. Ikeda, & Naoyuki Ishikawa. (2008). Interaction between Glu-A1 and Glu-D1 alleles in physical dough property in Japanese soft wheats and development of allele-specific PCR markers for Glu-A1. Breeding Research. 10(2). 41–48. 4 indexed citations
15.
Yanaka, Mikiko, Kanenori Takata, Tatsuya M. Ikeda, & Naoyuki Ishikawa. (2007). Effect of the High-Molecular-Weight Glutenin Allele, Glu-D1d, on Noodle Quality of Common Wheat. Breeding Science. 57(3). 243–248. 17 indexed citations
16.
Takata, Kanenori, Mikiko Yanaka, Yumiko Fujita, & Naoyuki Ishikawa. (2007). Evaluation of the Grain and Flour Quality in Near-Isogenic Wheat Lines with Waxy and Double-null Wx proteins. Breeding Science. 57(1). 79–83. 17 indexed citations
17.
18.
Ikeda, Tatsuya M., Mikiko Yanaka, K. Takata, G. L. Lookhart, & P. K. W. Ng. (2007). Allelic variation in low-molecular weight glutenin subunits and its functional importance.. 9–12. 1 indexed citations
19.
Nagamine, Takashi, Tatsuya M. Ikeda, T. Yanagisawa, Mikiko Yanaka, & Naoyuki Ishikawa. (2003). The Effects of Hardness Allele Pinb-D1b on the Flour Quality of Wheat for Japanese White Salty Noodles. Journal of Cereal Science. 37(3). 337–342. 25 indexed citations
20.
Ishikawa, Naoyuki, et al.. (2003). Belajar pemrograman WEB pada XML. 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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