Kiyoshi Ebihara

1.7k total citations
92 papers, 1.4k citations indexed

About

Kiyoshi Ebihara is a scholar working on Nutrition and Dietetics, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kiyoshi Ebihara has authored 92 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Nutrition and Dietetics, 24 papers in Physiology and 19 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kiyoshi Ebihara's work include Food composition and properties (27 papers), Diet and metabolism studies (18 papers) and Phytoestrogen effects and research (15 papers). Kiyoshi Ebihara is often cited by papers focused on Food composition and properties (27 papers), Diet and metabolism studies (18 papers) and Phytoestrogen effects and research (15 papers). Kiyoshi Ebihara collaborates with scholars based in Japan, China and Netherlands. Kiyoshi Ebihara's co-authors include Taro Kishida, Barbara O. Schneeman, Akira Nakajima, Shuhachi Kiriyama, Hiroshi Ogawa, Morikazu Onji, Mieko Kawamura, Shinya Furukawa, Tetsuji Niiya and Bunzo Matsuura and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Nutrition and British Journal Of Nutrition.

In The Last Decade

Kiyoshi Ebihara

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiyoshi Ebihara Japan 20 541 358 340 252 239 92 1.4k
Yasuo Nagata Japan 20 425 0.8× 559 1.6× 410 1.2× 215 0.9× 184 0.8× 70 1.6k
Daniel J. Scholfield United States 21 997 1.8× 358 1.0× 443 1.3× 173 0.7× 289 1.2× 35 1.6k
Essi Sarkkinen Finland 20 715 1.3× 437 1.2× 364 1.1× 90 0.4× 138 0.6× 33 1.6k
Valerie Fishell United States 12 869 1.6× 207 0.6× 344 1.0× 76 0.3× 142 0.6× 15 1.8k
Rgia A. Othman Canada 11 585 1.1× 162 0.5× 210 0.6× 81 0.3× 174 0.7× 18 1.3k
Marcelo Eustáquio Silva Brazil 22 164 0.3× 313 0.9× 248 0.7× 222 0.9× 100 0.4× 67 1.3k
Terry D. Shultz United States 28 1.3k 2.5× 192 0.5× 324 1.0× 87 0.3× 147 0.6× 60 2.3k
Francesca Danesi Italy 25 555 1.0× 87 0.2× 209 0.6× 111 0.4× 348 1.5× 58 1.7k
Sladjana Šobajić Serbia 23 487 0.9× 100 0.3× 151 0.4× 91 0.4× 301 1.3× 66 1.3k
Corinne Moundras France 16 401 0.7× 131 0.4× 190 0.6× 57 0.2× 135 0.6× 20 809

Countries citing papers authored by Kiyoshi Ebihara

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Ebihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyoshi Ebihara

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyoshi Ebihara. A scholar is included among the top collaborators of Kiyoshi Ebihara 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 Kiyoshi Ebihara. Kiyoshi Ebihara 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.
Nakajima, Akira, et al.. (2010). Pectin improves iron bioavailability in gastrectomy-induced anemic rats. 38(11). 971–979. 1 indexed citations
2.
Matsuura, Bunzo, Teruki Miyake, Teruhisa Ueda, et al.. (2009). Changes of anthropometric and biological parameters in patients with non-alcoholic steatohepatitis for dietary modification. 12(4). 337–346. 1 indexed citations
3.
Kishida, Taro, et al.. (2009). High‐Hydroxypropylated Tapioca Starch Improves Insulin Resistance in Genetically Diabetic KKAy Mice. Journal of Food Science. 74(3). H89–96. 7 indexed citations
4.
Ebihara, Kiyoshi. (2008). Studies on Nutritional and Physiological Effects of Dietary Fiber. Nippon Eiyo Shokuryo Gakkaishi. 61(1). 3–9. 6 indexed citations
5.
Liu, Xiong, Hiroshi Ogawa, Taro Kishida, & Kiyoshi Ebihara. (2008). Hypolipidaemic effect of maize starch with different amylose content in ovariectomized rats depends on intake amount of resistant starch. British Journal Of Nutrition. 101(3). 328–339. 15 indexed citations
6.
Kondo, Shizuki, et al.. (2007). Suppressive Effect of Partially Hydrolyzed Guar Gum on Postprandial Serum Triglyceride Elevation in Mice is Maintained after Long-term Intake of PHGG. Nippon Eiyo Shokuryo Gakkaishi. 60(2). 105–110. 2 indexed citations
7.
Kiriyama, Shuhachi, et al.. (2006). Searching for the Definition, Terminology and Classification of Dietary Fiber and the New Proposal from Japan. 10(1). 11–24. 8 indexed citations
8.
Matsuura, Bunzo, Tetsuji Niiya, Shinya Furukawa, et al.. (2006). Dietary habits and nutrient intake in non-alcoholic steatohepatitis. Nutrition. 23(1). 46–52. 204 indexed citations
9.
Morita, Tatsuya, et al.. (2005). Prediction of Body Composition in Growing Wistar Rats by the Measurement of Total Body Electroconductivity. 9(2). 109–114. 1 indexed citations
10.
Kiriyama, Shuhachi, et al.. (2003). Definition, classification, and comprehensive technical terms of dietary fiber in Japan. 7(1). 39–49. 2 indexed citations
11.
Kishida, Taro, et al.. (2001). Influence of age and ovariectomy on the hypocholesterolemic effects of dietary taurine in rats fed a cholesterol-free diet. Nutrition Research. 21(7). 1025–1033. 8 indexed citations
12.
Morita, Tatsuya, Kiyoshi Ebihara, & Shuhachi Kiriyama. (1993). Dietary Fiber and Fat-Derivatives Prevent Mineral Oil Toxicity in Rats by the Same Mechanism. Journal of Nutrition. 123(9). 1575–1585. 15 indexed citations
13.
Ebihara, Kiyoshi & Shuhachi Kiriyama. (1990). Physico-chemical property and physiological function of dietary fiber.. NIPPON SHOKUHIN KOGYO GAKKAISHI. 37(11). 916–933. 10 indexed citations
14.
Ebihara, Kiyoshi & Barbara O. Schneeman. (1989). Interaction of Bile Acids, Phospholipids, Cholesterol and Triglyceride with Dietary Fibers in the Small Intestine of Rats. Journal of Nutrition. 119(8). 1100–1106. 190 indexed citations
15.
Ebihara, Kiyoshi & Shuhachi Kiriyama. (1985). Prevention of cholesterol gallstones by a water soluble dietary fiber konjac mannan in mice. Nutrition reports international. 32(1). 223–229. 10 indexed citations
16.
Takeda, Hidetoshi, et al.. (1982). Nutritional significance of dietary fiber in counteracting the amaranth-toxicity in rats : a possible explanation of the mechanism. Nutrition reports international. 25(1). 169–187. 6 indexed citations
17.
Ebihara, Kiyoshi, et al.. (1981). Major determinants of plasma glucose-flattening activity of a water-soluble dietary fiber: effects of konjac mannan [water soluble dietary fiber] on gastric emptying and intraluminal glucose-diffusion [Dietary treatment of diabetics]. Nutrition reports international. 7 indexed citations
18.
Ebihara, Kiyoshi, et al.. (1981). . Nippon Nōgeikagaku Kaishi. 55(2). 125–132. 1 indexed citations
19.
Ebihara, Kiyoshi, et al.. (1979). Cholesterol lowering activity of various natural pectins and synthetic pectin derivatives with different physicochemical properties. Nutrition reports international. 20(4). 519–526. 11 indexed citations
20.

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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