Minoru Yamanoue

541 total citations
38 papers, 414 citations indexed

About

Minoru Yamanoue is a scholar working on Molecular Biology, Animal Science and Zoology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Minoru Yamanoue has authored 38 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Animal Science and Zoology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Minoru Yamanoue's work include Meat and Animal Product Quality (15 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Muscle Physiology and Disorders (5 papers). Minoru Yamanoue is often cited by papers focused on Meat and Animal Product Quality (15 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Muscle Physiology and Disorders (5 papers). Minoru Yamanoue collaborates with scholars based in Japan and United States. Minoru Yamanoue's co-authors include Shuji Ueda, Yasuhito Shirai, Koui Takahashi, Eiji Iwamoto, Daiki Hayashi, Masakazu Shinohara, Hitoshi Ashida, Fei Sha, Yoshiki Kato and Kenichi Yoshino and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Minoru Yamanoue

37 papers receiving 405 citations

Peers

Minoru Yamanoue

ASZ

Yuhua Zhao China

Kumiko Hayashi Japan

S. Ozawa Japan

Hongying Cai China

Qunli Yu China

Zan Lin-sen China

Masanori MATSUISHI Japan

J. M. Scheffler United States

Ying Guan China

Yuhua Zhao China

Minoru Yamanoue

45 ×0.2

ASZ

194 ×1.1

30 ×0.5

46 ×0.9

49 ×0.9

Citations per year, relative to Minoru Yamanoue Minoru Yamanoue (= 1×) peers Yuhua Zhao

Countries citing papers authored by Minoru Yamanoue

Since Specialization

Citations

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

Fields of papers citing papers by Minoru Yamanoue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minoru Yamanoue

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

All Works

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20 of 20 papers shown

Hayashi, Daiki, Varnavas D. Mouchlis, Liuqing Wang, et al.. (2022). Vitamin E functions by association with a novel binding site on the 67 kDa laminin receptor activating diacylglycerol kinase. The Journal of Nutritional Biochemistry. 110. 109129–109129. 6 indexed citations

Nakashima, Akio, Ushio Kikkawa, Shuji Ueda, et al.. (2021). RalA, PLD and mTORC1 Are Required for Kinase-Independent Pathways in DGKβ-Induced Neurite Outgrowth. Biomolecules. 11(12). 1814–1814.

Ueda, Shuji, et al.. (2021). Motor Dyscoordination and Alteration of Functional Correlation Between DGKγ and PKCγ in Senescence-Accelerated Mouse Prone 8 (SAMP8). Frontiers in Aging Neuroscience. 13. 573966–573966. 5 indexed citations

Zhao, Yanan, Masahiro NISHIDA, Shuji Ueda, et al.. (2020). Comparative Study of the Effects of Different Pretreatment Procedures on Beef Taste-traits Using an Electronic Taste Sensing System. Food Science and Technology Research. 26(3). 329–338. 2 indexed citations

Hayashi, Daiki, Liuqing Wang, Shuji Ueda, et al.. (2020). The mechanisms of ameliorating effect of a green tea polyphenol on diabetic nephropathy based on diacylglycerol kinase α. Scientific Reports. 10(1). 11790–11790. 20 indexed citations

Kakizawa, Sho, Yoshitaka Fujihara, Shuji Ueda, et al.. (2020). DGKγ Knock-Out Mice Show Impairments in Cerebellar Motor Coordination, LTD, and the Dendritic Development of Purkinje Cells through the Activation of PKCγ. eNeuro. 7(2). ENEURO.0319–19.2020. 13 indexed citations

Ueda, Shuji, et al.. (2018). Structural differences between myofibrillar protein, paratropomyosin, and tropomyosin as revealed by high‐performance liquid chromatography. Animal Science Journal. 89(8). 1161–1168. 3 indexed citations

Hayashi, Daiki, Keiko Yagi, Chihong Song, et al.. (2017). Diacylglycerol Kinase alpha is Involved in the Vitamin E-Induced Amelioration of Diabetic Nephropathy in Mice. Scientific Reports. 7(1). 2597–2597. 23 indexed citations

Ueda, Shuji, Becky Tu‐Sekine, Minoru Yamanoue, Daniel M. Raben, & Yasuhito Shirai. (2013). The expression of diacylglycerol kinase theta during the organogenesis of mouse embryos. BMC Developmental Biology. 13(1). 35–35. 14 indexed citations

10.

Hu, Xiao, et al.. (2010). Evaluation of Fatty Acid Profile of Wagyu Beef by ATR-FTIR Spectroscopy. Food and Bioprocess Technology. 3(6). 883–891. 11 indexed citations

11.

Sha, Fei, et al.. (1999). Interaction of Paratropomyosin with β-Connectin and Its 400-kiloDalton Fragment from Chicken Skeletal Muscle as Influenced by the Calcium Ion Concentration. Bioscience Biotechnology and Biochemistry. 63(8). 1425–1432. 5 indexed citations

12.

Yamanoue, Minoru, et al.. (1998). Binding of Paratropomyosin to β-Connectin from Chicken Skeletal Muscle. Bioscience Biotechnology and Biochemistry. 62(4). 821–824. 3 indexed citations

13.

Sha, Fei, et al.. (1996). Species Identification of Meats and Meat Products by PCR. Nihon Chikusan Gakkaiho. 67(10). 900–905. 20 indexed citations

14.

Nakagawa, Shigeo, et al.. (1993). Changes in Low-Molecular Weight Components in Sarcoplasmic Fraction during Conditioning of Japanese Black Cattle. Nihon Chikusan Gakkaiho. 64(7). 748–753. 1 indexed citations

15.

Nakagawa, Shigeo, et al.. (1992). Changes in Protein Content in Subcellular Sarcoplasmic Fractions of Muscles during Conditioning of Japanese Black Cattle. Nihon Chikusan Gakkaiho. 63(8). 855–860. 11 indexed citations

16.

Nakagawa, Shigeo, et al.. (1991). Changes in the Physical and Chemical Properties of Muscles during Conditioning of Japanese Black Cattle. Nihon Chikusan Gakkaiho. 62(2). 178–185. 2 indexed citations

17.

Fujii, Mikio, et al.. (1991). Effect of cooking temperature on the percentage colour formation, nitrite decomposition and sarcoplasmic protein denaturation in processed meat products. Meat Science. 30(1). 49–57. 15 indexed citations

18.

Yamanoue, Minoru & Koui Takahashi. (1988). Effect of Paratropomyosin on the Increase in Sarcomere Length of Rigor-Shortened Skeletal Muscles1. The Journal of Biochemistry. 103(5). 843–847. 19 indexed citations

19.

Takahashi, Koui, et al.. (1987). Paratropomyosin, a New Myofibrillar Protein, Weakens Rigor Linkages Formed between Actin and Myosin1. The Journal of Biochemistry. 102(5). 1187–1192. 11 indexed citations

20.

Yamanoue, Minoru, et al.. (1987). Effect of ascorbic acid and alpha-tocopherol on storage stability of beef steaks. Meat Science. 21(4). 267–273. 39 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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