Tomio Itani

1.2k total citations
51 papers, 960 citations indexed

About

Tomio Itani is a scholar working on Plant Science, Nutrition and Dietetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Tomio Itani has authored 51 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 14 papers in Nutrition and Dietetics and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Tomio Itani's work include GABA and Rice Research (16 papers), Food composition and properties (14 papers) and Rice Cultivation and Yield Improvement (12 papers). Tomio Itani is often cited by papers focused on GABA and Rice Research (16 papers), Food composition and properties (14 papers) and Rice Cultivation and Yield Improvement (12 papers). Tomio Itani collaborates with scholars based in Japan, Indonesia and China. Tomio Itani's co-authors include Masahiko Tamaki, Eiko Arai, Norio Nagao, Kohei Irifune, Masami Ogawa, Yoshiharu Fujii, Katsumi Hashizume, Yasuyoshi Hayata, Syuntaro Hiradate and Tomoko Shibuya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Tomio Itani

51 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomio Itani Japan 15 635 265 207 178 141 51 960
Sugunya Wongpornchai Thailand 19 703 1.1× 183 0.7× 284 1.4× 197 1.1× 172 1.2× 25 1.0k
Reena Randhir United States 17 766 1.2× 283 1.1× 417 2.0× 288 1.6× 459 3.3× 27 1.4k
Mariafe Calingacion Philippines 13 599 0.9× 132 0.5× 119 0.6× 170 1.0× 36 0.3× 19 798
Heather A. Ross United Kingdom 21 934 1.5× 335 1.3× 436 2.1× 483 2.7× 221 1.6× 51 1.6k
Guoying Lv China 16 494 0.8× 100 0.4× 242 1.2× 214 1.2× 144 1.0× 41 903
Sidney Pacheco Brazil 20 416 0.7× 321 1.2× 612 3.0× 194 1.1× 435 3.1× 71 1.4k
Ronoel Luiz de Oliveira Godóy Brazil 18 371 0.6× 190 0.7× 534 2.6× 166 0.9× 346 2.5× 60 1.1k
Young‐Tack Lee South Korea 16 488 0.8× 350 1.3× 379 1.8× 157 0.9× 165 1.2× 62 903
Marilyn Pike United Kingdom 15 947 1.5× 250 0.9× 102 0.5× 532 3.0× 205 1.5× 17 1.4k
Wenjuan Yu China 17 448 0.7× 131 0.5× 273 1.3× 233 1.3× 65 0.5× 26 899

Countries citing papers authored by Tomio Itani

Since Specialization
Citations

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

Fields of papers citing papers by Tomio Itani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomio Itani

This figure shows the co-authorship network connecting the top 25 collaborators of Tomio Itani. A scholar is included among the top collaborators of Tomio Itani 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 Tomio Itani. Tomio Itani 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.
Nagao, Norio, et al.. (2023). Variation in antioxidant capacity of the seven azuki bean (Vigna angularis) varieties with different seed coat color. Plant Production Science. 26(2). 164–173. 8 indexed citations
2.
Nishimura, Kazuyuki, et al.. (2013). Leaching Behaviour of Nitrogen in Forage Rice Cultivation that Applied with Animal Manure. SHILAP Revista de lepidopterología. 3 indexed citations
3.
Itani, Tomio, et al.. (2013). Allelopathic activity of some herb plant species. International Journal of Agriculture and Biology. 15(6). 1359–1362. 14 indexed citations
4.
Masuda, Tadayoshi, et al.. (2012). BASIC STUDY ON CULTIVATION CHARACTERISTICS OF ENERGY CROPS IN THE HILLY AND MOUNTAINOUS AREAS OF HIROSHIMA PREFECTURE, JAPAN. 7(1). 24–36. 2 indexed citations
5.
Nagao, Norio, et al.. (2012). Anti-oxidative analysis, and identification and quantification of anthocyanin pigments in different coloured rice. Food Chemistry. 135(4). 2783–2788. 125 indexed citations
6.
Tai, Akihiro, et al.. (2011). Antioxidative activity and catechin content of four kinds of Uncaria gambir extracts from West Sumatra, Indonesia. African Journal of Biochemistry Research. 5(1). 33–38. 39 indexed citations
7.
Warly, Lili, et al.. (2011). Dry matter and macro mineral dissapereance of selected grass in West Sumatra, Indonesia. 2(5). 104–109. 1 indexed citations
8.
Kobayashi, Fumiyuki, et al.. (2010). Effects of Storage with a Deoxygenating Agent and a Nitrogen-atmosphere Package on the Quality, Especially Flavor, of Cooked Stored Rice. Food Science and Technology Research. 16(2). 175–178. 6 indexed citations
10.
Inouchi, Naoyoshi, et al.. (2005). Structure and properties of endosperm starches from cultivated rice [Oryza sativa] of Asia and other countries. Journal of Applied Glycoscience. 2 indexed citations
11.
Arai, Eiko & Tomio Itani. (2004). Effects of Harvesting Time on Sweetness of Cooked Rice and Activity of Starch-Degradation Enzymes of Rice Grains. Food Science and Technology Research. 10(3). 282–289. 3 indexed citations
12.
Itani, Tomio, et al.. (2004). Glucosylation of Phenolic Compounds byPharbitis nilHairy Roots: I. Glucosylation of Coumarin and Flavone Derivatives. Bioscience Biotechnology and Biochemistry. 68(10). 2032–2039. 20 indexed citations
13.
Mohapatra, Pravat Kumar, Satoshi Morita, Jun‐ichi Takanashi, et al.. (2004). Partitioning of 13 C-labelled photosynthate varies with growth stage and panicle size in high-yielding rice. Functional Plant Biology. 31(2). 131–139. 20 indexed citations
14.
Iwata, Hiroshi, et al.. (2003). Relationship between the accumulation of starch and .ALPHA.-glucosidase in rice endosperm. Nippon Nōgeikagaku Kaishi. 77(11). 1130–1136. 5 indexed citations
15.
Toyokuni, Shinya, Tomio Itani, Yasujiro Morimitsu, et al.. (2002). Protective Effect of Colored Rice over White Rice on Fenton Reaction-based Renal Lipid Peroxidation in Rats. Free Radical Research. 36(5). 583–592. 43 indexed citations
16.
Arai, Eiko & Tomio Itani. (2000). Effects of Early Harvesting of Grains on Taste Characteristics of Cooked Rice.. Food Science and Technology Research. 6(4). 252–256. 11 indexed citations
17.
Shiraishi, Satomi, et al.. (2000). Allelopathic activity of Oxalis brasiliensis as a ground cover plant for weed management. A field study. Journal of Weed Science and Technology. 45(Supplement). 76–77. 2 indexed citations
18.
Itani, Tomio, et al.. (1999). Allelopathic Activity and Oxalate Content in Oxalate-rich Plants.. Journal of Weed Science and Technology. 44(4). 316–323. 6 indexed citations
19.
Itani, Tomio, et al.. (1999). Screening for Allelopathic Activity among 248 Species of Trees Collected in Hiroshima Prefecture Using the "Sandwich Method".. 266–267. 1 indexed citations
20.
Itani, Tomio, et al.. (1998). Screening for Allelopathic Activity among Weeds and Medicinal Plants Using the "Sandwich Method".. Journal of Weed Science and Technology. 43(3). 258–266. 10 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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