Makoto Kihara

1.1k total citations
29 papers, 841 citations indexed

About

Makoto Kihara is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Makoto Kihara has authored 29 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Plant Science and 6 papers in Biotechnology. Recurrent topics in Makoto Kihara's work include Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (4 papers) and Food composition and properties (3 papers). Makoto Kihara is often cited by papers focused on Transgenic Plants and Applications (4 papers), Plant tissue culture and regeneration (4 papers) and Food composition and properties (3 papers). Makoto Kihara collaborates with scholars based in Japan, United States and United Kingdom. Makoto Kihara's co-authors include Yasuo Kawasaki, Michael Young, Bik K. Tye, Akio Sugino, Ming Lei, Kazutoshi Ito, Chikako Shimizu, Hideyuki Funatsuki, Junji Watari and Seiichiro Aoe and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and PLoS ONE.

In The Last Decade

Makoto Kihara

29 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Makoto Kihara Japan 13 530 229 120 99 94 29 841
Masafumi Nishizawa Japan 16 631 1.2× 234 1.0× 136 1.1× 49 0.5× 119 1.3× 39 847
Sabine d’Andrea France 19 675 1.3× 156 0.7× 54 0.5× 48 0.5× 82 0.9× 23 986
Jun Sheng China 11 455 0.9× 97 0.4× 74 0.6× 156 1.6× 29 0.3× 16 609
Paul L. Gunyuzlu United States 9 470 0.9× 73 0.3× 124 1.0× 163 1.6× 28 0.3× 12 674
Chikafusa Fukazawa Japan 19 514 1.0× 438 1.9× 56 0.5× 35 0.4× 78 0.8× 49 1.0k
Pedro A. San-Segundo Spain 22 1.3k 2.4× 205 0.9× 306 2.5× 56 0.6× 26 0.3× 39 1.4k
Xiaoyi Hu China 11 463 0.9× 164 0.7× 38 0.3× 53 0.5× 56 0.6× 15 762
C Marobbio Italy 19 1.0k 1.9× 103 0.4× 77 0.6× 40 0.4× 35 0.4× 31 1.3k
Marek Skoneczny Poland 19 876 1.7× 266 1.2× 58 0.5× 35 0.4× 18 0.2× 51 1.1k
Gary McKnight United States 15 849 1.6× 151 0.7× 94 0.8× 44 0.4× 23 0.2× 16 1.1k

Countries citing papers authored by Makoto Kihara

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Kihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kihara

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kihara. A scholar is included among the top collaborators of Makoto Kihara 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 Makoto Kihara. Makoto Kihara 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.
Kihara, Makoto, et al.. (2024). Malting and Brewing Performance of β-Amylase-Deficient Barley. Journal of the American Society of Brewing Chemists. 82(4). 317–322. 2 indexed citations
2.
Kihara, Makoto, et al.. (2023). Simplified Method for Measurement of Arabinoxylan Content in Wort and Beer. Journal of the American Society of Brewing Chemists. 82(3). 252–257. 1 indexed citations
3.
Sato, Kazuhiro, et al.. (2018). Detection of QTLs controlling alpha-amylase activity in a diversity panel of 343 barley accessions. Molecular Breeding. 38(1). 5 indexed citations
4.
Kihara, Makoto, et al.. (2017). Visualization of57Fe-Labeled Heme Isotopic Fine Structure and Localization of Regions of Erythroblast Maturation in Mouse Spleen by MALDI FTICR-MS Imaging. Journal of the American Society for Mass Spectrometry. 28(11). 2469–2475. 8 indexed citations
5.
Kihara, Makoto, et al.. (2015). A proteomic profile of synoviocyte lesions microdissected from formalin-fixed paraffin-embedded synovial tissues of rheumatoid arthritis. Clinical Proteomics. 12(1). 20–20. 16 indexed citations
6.
Tanaka, Sayuri, Makoto Kihara, & Manabu Sugimoto. (2014). Structure and molecular characterization of barley nudix hydrolase genes. Bioscience Biotechnology and Biochemistry. 79(3). 394–401. 9 indexed citations
7.
Nishimura, Toshihide, Harubumi Kato, Norihiko Ikeda, et al.. (2012). Cancer Phenotype Diagnosis and Drug Efficacy within Japanese Health Care. PubMed. 2012. 1–10. 2 indexed citations
8.
9.
Takadate, Tatsuyuki, Tohru Onogawa, Tetsuya Fukuda, et al.. (2012). Novel prognostic protein markers of resectable pancreatic cancer identified by coupled shotgun and targeted proteomics using formalin‐fixed paraffin‐embedded tissues. International Journal of Cancer. 132(6). 1368–1382. 57 indexed citations
10.
Nomura, Masaharu, Tetsuya Fukuda, Kiyonaga Fujii, et al.. (2011). Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study. PubMed. 1(1). 23–23. 20 indexed citations
11.
Shagimardanova, Elena, Oleg Gusev, Gail E. Bingham, et al.. (2010). Oxidative Stress and Antioxidant Capacity in Barley Grown under Space Environment. Bioscience Biotechnology and Biochemistry. 74(7). 1479–1482. 8 indexed citations
12.
Watanabe, Toshihiro, et al.. (2010). Changes in saccharide, amino acid and S‐methylmethionine content during malting of barley grown with different nitrogen and sulfur status. Journal of the Science of Food and Agriculture. 91(1). 85–93. 7 indexed citations
13.
Shimizu, Chikako, Makoto Kihara, Seiichiro Aoe, et al.. (2007). Effect of High β-Glucan Barley on Serum Cholesterol Concentrations and Visceral Fat Area in Japanese Men—A Randomized, Double-blinded, Placebo-controlled Trial. Plant Foods for Human Nutrition. 63(1). 21–25. 102 indexed citations
14.
Kihara, Makoto, Hideyuki Funatsuki, Kazutoshi Ito, & P. A. Lazzeri. (2003). Somatic Embryogenesis in Barley Suspension Cultures. Humana Press eBooks. 111. 43–50. 1 indexed citations
15.
16.
Kihara, Makoto, Wataru Nakai, Satoshi Asano, et al.. (2000). Characterization of the Yeast Cdc7p/Dbf4p Complex Purified from Insect Cells. Journal of Biological Chemistry. 275(45). 35051–35062. 59 indexed citations
17.
Lei, Ming, Yasuo Kawasaki, Michael Young, et al.. (1997). Mcm2 is a target of regulation by Cdc7–Dbf4 during the initiation of DNA synthesis. Genes & Development. 11(24). 3365–3374. 256 indexed citations
18.
Funatsuki, Hideyuki, Hisao Kuroda, Makoto Kihara, et al.. (1995). Fertile transgenic barley generated by direct DNA transfer to protoplasts. Theoretical and Applied Genetics. 91(5). 707–712. 53 indexed citations
19.
Funatsuki, Hideyuki & Makoto Kihara. (1994). Influence of primary callus induction conditions on the establishment of barley cell suspensions yielding regenerable protoplasts. Plant Cell Reports. 13(10). 551–5. 7 indexed citations
20.
Kihara, Makoto, et al.. (1989). [Differentiation and ADA (adenosine deaminase) isozymes].. PubMed. 37(3). 336–8. 1 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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