Michiyoshi Ikai

426 total citations
9 papers, 359 citations indexed

About

Michiyoshi Ikai is a scholar working on Molecular Biology, Nutrition and Dietetics and Pathology and Forensic Medicine. According to data from OpenAlex, Michiyoshi Ikai has authored 9 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Michiyoshi Ikai's work include Food composition and properties (4 papers), Biotin and Related Studies (2 papers) and Proteins in Food Systems (2 papers). Michiyoshi Ikai is often cited by papers focused on Food composition and properties (4 papers), Biotin and Related Studies (2 papers) and Proteins in Food Systems (2 papers). Michiyoshi Ikai collaborates with scholars based in Japan, United Kingdom and Nepal. Michiyoshi Ikai's co-authors include Akira Oh-hashi, Seiichi Kasaoka, Shuhachi Kiriyama, Tatsuya Morita, Tatsuya Morita, Shuichi Kimura, Yuji Furukawa, Masaru Maebashi, Hong Zhang and Hideo Fukazawa and has published in prestigious journals such as Journal of Nutrition, Journal of the Science of Food and Agriculture and Nutrition Research.

In The Last Decade

Michiyoshi Ikai

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michiyoshi Ikai Japan 6 167 108 88 74 69 9 359
Akira Oh-hashi Japan 8 216 1.3× 125 1.2× 102 1.2× 81 1.1× 69 1.0× 11 428
Christian A. Barth Germany 13 104 0.6× 125 1.2× 104 1.2× 50 0.7× 51 0.7× 22 486
Michihiro Sugano Japan 8 136 0.8× 177 1.6× 60 0.7× 58 0.8× 99 1.4× 8 428
Marie‐Anne Levrat France 9 355 2.1× 58 0.5× 94 1.1× 88 1.2× 52 0.8× 9 546
Subramaniam Satchithanandam United States 11 233 1.4× 91 0.8× 100 1.1× 67 0.9× 18 0.3× 14 447
Takako Awano Japan 4 108 0.6× 297 2.8× 121 1.4× 26 0.4× 53 0.8× 5 379
Claire Hudson United Kingdom 12 197 1.2× 126 1.2× 106 1.2× 86 1.2× 14 0.2× 22 510
Hiroshi Hara Japan 11 244 1.5× 50 0.5× 48 0.5× 68 0.9× 21 0.3× 15 397
Sheila Morandi Italy 7 81 0.5× 61 0.6× 47 0.5× 78 1.1× 68 1.0× 7 327
Misao Nakajoh Japan 8 296 1.8× 134 1.2× 404 4.6× 68 0.9× 35 0.5× 10 615

Countries citing papers authored by Michiyoshi Ikai

Since Specialization
Citations

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

Fields of papers citing papers by Michiyoshi Ikai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiyoshi Ikai

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

All Works

9 of 9 papers shown
1.
Kasaoka, Seiichi, Tatsuya Morita, Michiyoshi Ikai, Akira Oh-hashi, & Shuhachi Kiriyama. (1999). Effect of High-amylose Cornstarch on Fecal Excretion in Rats.. Nippon Eiyo Shokuryo Gakkaishi. 52(5). 263–270. 4 indexed citations
2.
Kasaoka, Seiichi, Tatsuya Morita, Michiyoshi Ikai, Akira Oh-hashi, & Shuhachi Kiriyama. (1998). High-amylose Corn Starch Prevents Increased Serum Lipids and Body Fat Accretion in Rats.. Nippon Eiyo Shokuryo Gakkaishi. 51(6). 345–353. 7 indexed citations
3.
Morita, Tatsuya, et al.. (1998). Resistant Proteins Alter Cecal Short-Chain Fatty Acid Profiles in Rats Fed High Amylose Cornstarch. Journal of Nutrition. 128(7). 1156–1164. 119 indexed citations
4.
Ikai, Michiyoshi, Seiichi Kasaoka, Akira Oh-hashi, Tatsuya Morita, & Shuhachi Kiriyama. (1997). Digestibility of High-amylose Corn Starch in Ileorectostomized and Normal Rats.. Nippon Eiyo Shokuryo Gakkaishi. 50(3). 209–216. 8 indexed citations
5.
6.
Kasaoka, Seiichi, Michiyoshi Ikai, Akira Oh-hashi, Tatsuya Morita, & Shuhachi Kiriyama. (1997). High amylose corn starch retarded 7, 12-dimethylbenz[a]anthracene - induced mammary tumor development in female rats. Nutrition Research. 17(6). 1035–1046. 4 indexed citations
7.
Morita, Tatsuya, Akira Oh-hashi, Seiichi Kasaoka, Michiyoshi Ikai, & Shuhachi Kiriyama. (1996). Rice Protein Isolates Produced by the Two Different Methods Lower Serum Cholesterol Concentration in Rats Compared with Casein. Journal of the Science of Food and Agriculture. 71(4). 415–424. 45 indexed citations
8.
Furukawa, Yuji, et al.. (1995). Biotin-Stimulated Insulin Secretion in Biotin-Deficient Rats.. Journal of Clinical Biochemistry and Nutrition. 18(1). 35–42. 9 indexed citations
9.
Furukawa, Yuji, Hideo Fukazawa, Michiyoshi Ikai, et al.. (1993). Biochemical consequences of biotin deficiency in osteogenic disorder shionogi rats.. PubMed. 63(2). 129–34. 3 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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