Hidehiko Yokogoshi

5.0k total citations
172 papers, 4.1k citations indexed

About

Hidehiko Yokogoshi is a scholar working on Physiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Hidehiko Yokogoshi has authored 172 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Physiology, 47 papers in Cell Biology and 33 papers in Molecular Biology. Recurrent topics in Hidehiko Yokogoshi's work include Biochemical effects in animals (47 papers), Muscle metabolism and nutrition (25 papers) and Biochemical Analysis and Sensing Techniques (24 papers). Hidehiko Yokogoshi is often cited by papers focused on Biochemical effects in animals (47 papers), Muscle metabolism and nutrition (25 papers) and Biochemical Analysis and Sensing Techniques (24 papers). Hidehiko Yokogoshi collaborates with scholars based in Japan, Netherlands and United States. Hidehiko Yokogoshi's co-authors include Takehiko Terashima, Hiroaki Oda, K. Hayase, Akira Yoshida, Kenji Horie, Miki Kobayashi, Richard J. Wurtman, Mujo Kim, Hideki Mochizuki and Ai Yoto and has published in prestigious journals such as American Journal of Clinical Nutrition, Journal of Agricultural and Food Chemistry and FEBS Letters.

In The Last Decade

Hidehiko Yokogoshi

169 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hidehiko Yokogoshi Japan 36 1.2k 1.0k 831 727 659 172 4.1k
Paul E. Milbury United States 32 514 0.4× 1.1k 1.1× 331 0.4× 531 0.7× 193 0.3× 53 4.6k
Myung Sook Oh South Korea 43 1.1k 1.0× 2.0k 2.0× 234 0.3× 729 1.0× 230 0.3× 197 6.0k
David Vauzour United Kingdom 40 1.9k 1.7× 2.7k 2.7× 511 0.6× 817 1.1× 148 0.2× 120 7.7k
Mehrdad Roghani Iran 48 1.3k 1.1× 1.8k 1.8× 519 0.6× 889 1.2× 107 0.2× 307 6.3k
Ömer Akyol Türkiye 37 563 0.5× 817 0.8× 516 0.6× 354 0.5× 81 0.1× 72 4.1k
Ágnes Simonyi United States 43 1.6k 1.4× 2.4k 2.4× 393 0.5× 261 0.4× 217 0.3× 96 6.4k
Maria Tiziana Corasaniti Italy 45 951 0.8× 1.7k 1.7× 327 0.4× 415 0.6× 165 0.3× 173 5.9k
Anurag Kuhad India 40 1.1k 0.9× 1.2k 1.2× 278 0.3× 388 0.5× 94 0.1× 116 4.8k
Jong Hoon Ryu South Korea 52 1.3k 1.1× 3.1k 3.1× 255 0.3× 1.2k 1.7× 222 0.3× 263 8.6k
Claire Williams United Kingdom 53 1.6k 1.4× 1.2k 1.2× 335 0.4× 826 1.1× 126 0.2× 195 9.1k

Countries citing papers authored by Hidehiko Yokogoshi

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiko Yokogoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidehiko Yokogoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Yokogoshi. A scholar is included among the top collaborators of Hidehiko Yokogoshi 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 Hidehiko Yokogoshi. Hidehiko Yokogoshi 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.
Ueno, Toshio, et al.. (2014). Antidepressant-Like Effects of 3-(3,4-dihydroxyphenyl)lactic Acid Isolated from Lavender (Lavandula angustifolia) Flowers in Mice. Food Science and Technology Research. 20(6). 1213–1219. 2 indexed citations
2.
Hayase, K., et al.. (2013). Influence of GABA on Brain Protein Synthesis Mediated by the Mammalian Target on the Rapamycin Pathway. Bioscience Biotechnology and Biochemistry. 77(3). 660–662. 5 indexed citations
3.
Yoto, Ai & Hidehiko Yokogoshi. (2013). The Development of Studies about Food Component and Brain Function. KAGAKU TO SEIBUTSU. 51(4). 223–227. 1 indexed citations
4.
Ueno, Toshio, et al.. (2012). Antidepressant-like Effects of an Aqueous Extract of Lavender (Lavandula angustifolia Mill.) in Rats. Food Science and Technology Research. 18(3). 473–479. 31 indexed citations
5.
Ueno, Toshio, et al.. (2012). Anti-depressant-like and Anti-stress-ulcer Effects of an Aqueous Extract of Lavender (Lavandula Angustifolia Mill.) on Mice. Nippon Shokuhin Kagaku Kogaku Kaishi. 59(9). 435–441. 1 indexed citations
6.
Okuyama, Satoshi, et al.. (2011). Effect of the Edible Mushroom Mycoleptodonoides aitchisonii on Transient Global Ischemia-Induced Monoamine Metabolism Changes in Rat Cerebral Cortex. Journal of Medicinal Food. 15(1). 96–99. 3 indexed citations
7.
Koizumi, Kyoko, et al.. (2009). Effects of Dietary Docosahexaenoic Acid Connecting Phospholipids on the Learning Ability and Fatty Acid Composition of the Brain. Journal of Nutritional Science and Vitaminology. 55(4). 374–380. 37 indexed citations
8.
Yokogoshi, Hidehiko. (2006). Studies on Nutrition and Brain Function. Nippon Eiyo Shokuryo Gakkaishi. 59(1). 31–37. 1 indexed citations
9.
Suruga, Kazuhito, et al.. (2005). Enhancing effect of taurine on CYP7A1 mRNA expression in Hep G2 cells. Amino Acids. 30(1). 43–48. 36 indexed citations
10.
Sano, Akira, et al.. (2005). Effect of adding dietary L-lysine, L-threonine and L-methionine to a low gluten diet on urea synthesis in rats. Amino Acids. 28(3). 297–303. 7 indexed citations
11.
Hayase, K., et al.. (2004). Effect of Adding Dietary Methionine to a Low Soy Protein Diet on the Brain Protein Synthesis Rate in Ovariectomized Female Rats. Nutritional Neuroscience. 7(3). 185–190. 4 indexed citations
12.
Chen, Wen, Naomichi Nishimura, Hiroaki Oda, & Hidehiko Yokogoshi. (2003). Effect of Taurine on Cholesterol Degradation and Bile Acid Pool in Rats Fed a High-Cholesterol Diet. Advances in experimental medicine and biology. 526. 261–267. 24 indexed citations
13.
Hayase, K., et al.. (2002). Research Communication: Dietary Genistein Affects Brain Protein Synthesis Rates in Ovariectomized Female Rats. Journal of Nutrition. 132(7). 2055–2058. 6 indexed citations
14.
Ogasawara, Yutaka, Tsutomu Ōkubo, Makoto Ozeki, et al.. (2001). BIOLOGICAL ACTIVITIES OF L - THEANINE (SUNTHEANINE™), AN AMINO ACID OF GREEN TEA, IN HUMANS. 38–47.
15.
Yokogoshi, Hidehiko, et al.. (1999). Dietary Taurine Enhances Cholesterol Degradation and Reduces Serum and Liver Cholesterol Concentrations in Rats Fed a High-Cholesterol Diet. Journal of Nutrition. 129(9). 1705–1712. 181 indexed citations
16.
Horie, Kenji, Akihito Morita, & Hidehiko Yokogoshi. (1995). Endothelin-1 and endothelin-3 modulate dopaminergic neurons through different mechanisms. Life Sciences. 57(8). 735–741. 10 indexed citations
17.
Morita, Akihito, et al.. (1994). d‐Val22 containing human big endothelin‐1 analog, [d‐Val22]Big ET‐1[16–38], inhibits the endothelin converting enzyme. FEBS Letters. 353(1). 84–88. 12 indexed citations
18.
Hayase, K. & Hidehiko Yokogoshi. (1992). Effect of Exercise on Tissue Protein Synthesis in Rats. Bioscience Biotechnology and Biochemistry. 56(10). 1637–1639. 6 indexed citations
19.
Hayase, K., et al.. (1991). Triiodothyronine Administration Affects Urea Synthesis in Rats. Journal of Nutrition. 121(7). 970–978. 15 indexed citations
20.
Yokogoshi, Hidehiko & Akira Yoshida. (1986). Time-Dependent Changes in Aggregation of Hepatic Ribosomes after Meal Feeding of Rats. Journal of Nutrition. 116(3). 472–474. 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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