Masashi Ida

520 total citations
8 papers, 397 citations indexed

About

Masashi Ida is a scholar working on Plant Science, Nutrition and Dietetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Masashi Ida has authored 8 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Nutrition and Dietetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Masashi Ida's work include Rice Cultivation and Yield Improvement (6 papers), Food composition and properties (4 papers) and GABA and Rice Research (4 papers). Masashi Ida is often cited by papers focused on Rice Cultivation and Yield Improvement (6 papers), Food composition and properties (4 papers) and GABA and Rice Research (4 papers). Masashi Ida collaborates with scholars based in Japan. Masashi Ida's co-authors include Motohiko Kondo, Toshiyuki Takai, Yumiko San-oh, Satoshi Yoshinaga, Tsutomu Ishimaru, Hideyuki Hirabayashi, Tsugufumi Ogawa, Tsutomu Ishimaru, Ikuo Ando and Naoko K. Nishizawa and has published in prestigious journals such as Annals of Botany, Field Crops Research and Journal of Cereal Science.

In The Last Decade

Masashi Ida

8 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masashi Ida Japan	7	360	127	67	60	58	8	397
Yumiko San-oh Japan	9	492 1.4×	129 1.0×	109 1.6×	52 0.9×	86 1.5×	11	527
Žilvinas Liatukas Lithuania	10	342 0.9×	54 0.4×	24 0.4×	25 0.4×	127 2.2×	54	408
Eero Nissilä Finland	10	328 0.9×	188 1.5×	28 0.4×	27 0.5×	38 0.7×	15	389
Kirsten P. Skøt United Kingdom	10	363 1.0×	146 1.1×	89 1.3×	32 0.5×	128 2.2×	15	454
J. M. Martín United States	10	383 1.1×	91 0.7×	33 0.5×	22 0.4×	142 2.4×	20	433
Ramesh Kumar India	11	395 1.1×	141 1.1×	20 0.3×	31 0.5×	104 1.8×	85	485
M. Zeid Egypt	9	310 0.9×	77 0.6×	55 0.8×	17 0.3×	69 1.2×	16	372
Chandra Nath Mishra India	13	461 1.3×	129 1.0×	23 0.3×	16 0.3×	104 1.8×	51	538
A. W. Grombacher United States	7	326 0.9×	44 0.3×	20 0.3×	55 0.9×	169 2.9×	9	368
A. B. Obilana Kenya	8	234 0.7×	88 0.7×	17 0.3×	61 1.0×	146 2.5×	22	314

Countries citing papers authored by Masashi Ida

Since Specialization

Citations

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

Fields of papers citing papers by Masashi Ida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Ida

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Ishimaru, Tsutomu, Masashi Ida, Sakiko Hirose, et al.. (2015). Laser microdissection-based gene expression analysis in the aleurone layer and starchy endosperm of developing rice caryopses in the early storage phase. Rice. 8(1). 57–57. 18 indexed citations

Arai‐Sanoh, Yumiko, Masashi Ida, Kazuhiko Nishitani, et al.. (2013). Varietal Differences in Cell Wall β-(1→3),(1→4)-Glucan and Nonstructural Carbohydrate in Rice Stems during the Grain Filling Stage. Plant Production Science. 16(4). 335–341. 6 indexed citations

Arai‐Sanoh, Yumiko, Masashi Ida, Satoshi Yoshinaga, et al.. (2011). Genotypic Variations in Non-Structural Carbohydrate and Cell-Wall Components of the Stem in Rice, Sorghum, and Sugar Vane. Bioscience Biotechnology and Biochemistry. 75(6). 1104–1112. 35 indexed citations

Ishimaru, Tsutomu, Hideyuki Hirabayashi, Masashi Ida, et al.. (2010). A genetic resource for early-morning flowering trait of wild rice Oryza officinalis to mitigate high temperature-induced spikelet sterility at anthesis. Annals of Botany. 106(3). 515–520. 128 indexed citations

Matsuki, Junko, Jeung‐yil Park, Riki Shiroma, et al.. (2010). Characterization of Starch Granules in Rice Culms for Application of Rice Straw as a Feedstock for Saccharification. Bioscience Biotechnology and Biochemistry. 74(8). 1645–1651. 6 indexed citations

Ohsumi, Akihiro, Toshiyuki Takai, Masashi Ida, et al.. (2010). Evaluation of yield performance in rice near-isogenic lines with increased spikelet number. Field Crops Research. 120(1). 68–75. 64 indexed citations

Ishimaru, Tsutomu, Akemi K. Horigane, Masashi Ida, et al.. (2009). Formation of grain chalkiness and changes in water distribution in developing rice caryopses grown under high-temperature stress. Journal of Cereal Science. 50(2). 166–174. 121 indexed citations

Ida, Masashi, Ryu Ohsugi, Haruto Sasaki, Naohiro Aoki, & Tohru Yamagishi. (2009). Contribution of Nitrogen Absorbed during Ripening Period to Grain Filling in a High-Yielding Rice Variety, Takanari. Plant Production Science. 12(2). 176–184. 19 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.

Explore authors with similar magnitude of impact