Tatsuya M. Ikeda

2.5k total citations
107 papers, 1.8k citations indexed

About

Tatsuya M. Ikeda is a scholar working on Plant Science, Molecular Biology and Nutrition and Dietetics. According to data from OpenAlex, Tatsuya M. Ikeda has authored 107 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 16 papers in Molecular Biology and 15 papers in Nutrition and Dietetics. Recurrent topics in Tatsuya M. Ikeda's work include Wheat and Barley Genetics and Pathology (42 papers), Food composition and properties (14 papers) and Plant Disease Resistance and Genetics (13 papers). Tatsuya M. Ikeda is often cited by papers focused on Wheat and Barley Genetics and Pathology (42 papers), Food composition and properties (14 papers) and Plant Disease Resistance and Genetics (13 papers). Tatsuya M. Ikeda collaborates with scholars based in Japan, United States and Egypt. Tatsuya M. Ikeda's co-authors include Michael W. Gray, Hiroshi Yano, Takashi Nagamine, Nicolas Cermakian, Robert Cedergren, Carlos Guzmán, Gilberto Igrejas, Mikiko Yanaka, R. C. Lord and Kanenori Takata and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and The Journal of Chemical Physics.

In The Last Decade

Tatsuya M. Ikeda

104 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya M. Ikeda Japan 21 977 479 243 179 173 107 1.8k
Shūichi Iida Japan 25 1.1k 1.1× 634 1.3× 278 1.1× 205 1.1× 158 0.9× 112 2.5k
J. W. Johnson United States 45 2.2k 2.3× 456 1.0× 191 0.8× 472 2.6× 411 2.4× 261 5.8k
David Schäfer United States 23 268 0.3× 416 0.9× 49 0.2× 159 0.9× 61 0.4× 82 1.7k
Daniel A. Peterson United States 14 404 0.4× 825 1.7× 39 0.2× 48 0.3× 308 1.8× 21 1.8k
Donghong Min China 24 1.3k 1.4× 821 1.7× 52 0.2× 120 0.7× 156 0.9× 66 1.8k
S. G. Pandalai Belgium 18 457 0.5× 304 0.6× 24 0.1× 46 0.3× 59 0.3× 184 1.2k
Thomas J. Anchordoguy United States 15 442 0.5× 810 1.7× 95 0.4× 118 0.7× 178 1.0× 17 2.3k
James H. Hunter United States 18 356 0.4× 284 0.6× 37 0.2× 42 0.2× 19 0.1× 90 1.2k
Ondřej Šedo Czechia 27 240 0.2× 995 2.1× 69 0.3× 48 0.3× 207 1.2× 110 2.0k
Karen L. Koster United States 21 1.2k 1.2× 742 1.5× 95 0.4× 128 0.7× 40 0.2× 33 2.1k

Countries citing papers authored by Tatsuya M. Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya M. Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tatsuya M. Ikeda. 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 Tatsuya M. Ikeda. The network helps show where Tatsuya M. Ikeda may publish in the future.

Co-authorship network of co-authors of Tatsuya M. Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya M. Ikeda. A scholar is included among the top collaborators of Tatsuya M. Ikeda 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 Tatsuya M. Ikeda. Tatsuya M. Ikeda 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.
Park, Sang‐Hong, et al.. (2025). Effect of abrasive water-jet treatment on surface characteristics and epoxy adhesive bonding performance of carbon steel. Progress in Organic Coatings. 201. 109137–109137. 1 indexed citations
2.
Sawada, Hiroko, et al.. (2023). Influence of Moderately High Temperatures during Grain Filling on Glassy Grain Rate of Six-rowed Barley Variety ‘Shunrai’. Japanese Journal of Crop Science. 92(1). 19–27. 1 indexed citations
3.
Kainuma, Shigenobu, et al.. (2023). Effect of Surface Characteristics of Abrasive Water-jet Treatment on Corrosion Behavior of Carbon Steel. Zairyo-to-Kankyo. 72(5). 169–178. 3 indexed citations
4.
Takumi, Shigeo, Tatsuya M. Ikeda, Hitoshi Matsunaka, et al.. (2020). Introgression of chromosomal segments conferring early heading date from wheat diploid progenitor, Aegilops tauschii Coss., into Japanese elite wheat cultivars. PLoS ONE. 15(1). e0228397–e0228397. 9 indexed citations
5.
Hosokawa, Keizo, et al.. (2020). Properties of ripe banana flour and application to gluten‐free breadmaking. Journal of Food Processing and Preservation. 44(10). 4 indexed citations
6.
Ikeda, Tatsuya M., et al.. (2015). Characterization of Rice Flour Milled with Water and Effects of Soaking Conditions. Food Science and Technology Research. 21(6). 771–778. 2 indexed citations
7.
Takata, Kanenori, et al.. (2013). Identification and distribution of Puroindoline b-2 variant gene homologs in Hordeum. Genetica. 141(7-9). 359–368. 4 indexed citations
8.
9.
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
10.
Maeda, Yoshihito, et al.. (2011). Phonon properties of β - FeSi 2 and photoluminescence. Physics Procedia. 11. 167–170. 1 indexed citations
11.
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
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.
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
14.
Nagamine, Takashi, et al.. (2008). Development and Evaluation of DNA Markers for Japanese Malting Barley Breeding. Diabetologia. 50(4). 806–13. 1 indexed citations
15.
Ikeda, Tatsuya M., Etsuko Araki, Yumiko Fujita, & Hiroshi Yano. (2005). Characterization of low-molecular-weight glutenin subunit genes and their protein products in common wheats. Theoretical and Applied Genetics. 112(2). 327–334. 66 indexed citations
16.
Ikeda, Tatsuya M. & Michael W. Gray. (1999). Characterization of a DNA-Binding Protein Implicated in Transcription in Wheat Mitochondria. Molecular and Cellular Biology. 19(12). 8113–8122. 47 indexed citations
17.
Ikeda, Tatsuya M. & Michael W. Gray. (1999). Identification and characterization of T3/T7 bacteriophage-like RNA polymerase sequences in wheat. Plant Molecular Biology. 40(4). 567–578. 57 indexed citations
18.
Funaki, Minoru, et al.. (1996). Hydrogasification of wood for high heating-value gas production IX. HNO3-oxidation pretreatment of larch bark for iron-catalyzed hydrogasification.. Journal of the Japan Wood Research Society. 42(6). 595–604. 2 indexed citations
19.
Fujimoto, Tsutomu, et al.. (1990). Evaluation method for truck fuel-economy using chassis dynamometer. JSAE Review. 11(2). 2 indexed citations
20.
Iyemori, T., et al.. (1986). Characteristics of small-scale magnetic fluctuations over the high-latitude ionosphere. Memoirs of National Institute of Polar Research. Special issue. 42(42). 92–102. 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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