Masayo Kushiro

2.7k total citations
77 papers, 2.2k citations indexed

About

Masayo Kushiro is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Masayo Kushiro has authored 77 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Plant Science, 30 papers in Cell Biology and 19 papers in Molecular Biology. Recurrent topics in Masayo Kushiro's work include Mycotoxins in Agriculture and Food (59 papers), Plant Pathogens and Fungal Diseases (29 papers) and Wheat and Barley Genetics and Pathology (21 papers). Masayo Kushiro is often cited by papers focused on Mycotoxins in Agriculture and Food (59 papers), Plant Pathogens and Fungal Diseases (29 papers) and Wheat and Barley Genetics and Pathology (21 papers). Masayo Kushiro collaborates with scholars based in Japan, Slovakia and United States. Masayo Kushiro's co-authors include Takashi Ide, Yoko Takahashi, Hiroyuki Nakagawa, Tatsuya Sugawara, Akihiko Nagao, Kazuki Shinohara, Kazuo Miyashita, Hong Zhang, Eiichi Kotake‐Nara and Yuki Sago and has published in prestigious journals such as PLANT PHYSIOLOGY, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Masayo Kushiro

73 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masayo Kushiro Japan 21 1.1k 601 358 327 296 77 2.2k
Masao Ohnishi Japan 28 727 0.6× 1.2k 2.1× 262 0.7× 126 0.4× 186 0.6× 165 2.2k
Weon‐Jong Yoon South Korea 28 488 0.4× 1.0k 1.7× 193 0.5× 139 0.4× 287 1.0× 96 2.6k
Hui He China 32 461 0.4× 1.5k 2.4× 492 1.4× 113 0.3× 168 0.6× 78 2.6k
Mei‐Kuang Lu Taiwan 27 922 0.8× 745 1.2× 133 0.4× 72 0.2× 72 0.2× 81 2.4k
Mi‐Jeong Ahn South Korea 30 956 0.8× 1.4k 2.4× 118 0.3× 63 0.2× 647 2.2× 114 2.8k
Hsien‐Jung Chen Taiwan 22 759 0.7× 814 1.4× 220 0.6× 41 0.1× 221 0.7× 61 1.6k
Elaine R. Carbonero Brazil 30 1.5k 1.3× 303 0.5× 282 0.8× 65 0.2× 157 0.5× 62 2.1k
Longyan Zhao China 22 608 0.5× 421 0.7× 157 0.4× 241 0.7× 114 0.4× 55 1.7k
Yixiang Liu China 23 212 0.2× 458 0.8× 192 0.5× 109 0.3× 393 1.3× 64 1.6k
Sung‐Myung Kang South Korea 30 412 0.4× 1.0k 1.7× 384 1.1× 224 0.7× 358 1.2× 49 3.1k

Countries citing papers authored by Masayo Kushiro

Since Specialization
Citations

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

Fields of papers citing papers by Masayo Kushiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayo Kushiro

This figure shows the co-authorship network connecting the top 25 collaborators of Masayo Kushiro. A scholar is included among the top collaborators of Masayo Kushiro 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 Masayo Kushiro. Masayo Kushiro 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.
2.
Furukawa, Tomohiro, Masayo Kushiro, Hiroyuki Nakagawa, & Shohei Sakuda. (2025). Targeting Mitochondria to Inhibit Aflatoxin Production: Mechanistic Insight. Food Safety. 13(3). 46–55.
3.
4.
Furukawa, Tomohiro, et al.. (2022). Whole agar dish culture extraction method to assess the survival of aflatoxigenic fungi in soil samples. JSM Mycotoxins. 73(1). 1–5. 1 indexed citations
5.
6.
Nakagawa, Hiroyuki, Shigeru Sakamoto, Yuki Sago, Masayo Kushiro, & Hitoshi Nagashima. (2013). Detection of masked mycotoxins derived from type A trichothecenes in corn by high-resolution LC-Orbitrap mass spectrometer. Food Additives & Contaminants Part A. 30(8). 1407–1414. 25 indexed citations
7.
Hossen, Md. Sharif, Hiroyuki Nakagawa, Hitoshi Nagashima, Hiroshi Okadome, & Masayo Kushiro. (2013). Loss of Nivalenol during Cooking of Noodles Made from Fusarium-Infected Japanese Soft Wheat. Journal of Food Processing and Preservation. 38(3). 1113–1118. 3 indexed citations
8.
Kushiro, Masayo, Manasikan Thammawong, Megumi Yoshida, et al.. (2012). Effects of noodle making and cooking on the levels of a mycotoxin deoxynivalenol in Japanese soft wheat varieties. 19(2). 129–135. 2 indexed citations
9.
Fujita, Kaori, Junichi Sugiyama, Mizuki Tsuta, et al.. (2012). Nondestructive Method for Detection of Mycotoxins in Wheat. Agricultural Information Research. 21(1). 11–19. 2 indexed citations
10.
Nagashima, Hitoshi, Hiroyuki Nakagawa, & Masayo Kushiro. (2012). Opposite effects of two trichothecene mycotoxins, deoxynivalenol and nivalenol, on the levels of macrophage inflammatory protein (MIP)-1α and MIP-1β in HL60 cells. Environmental Toxicology and Pharmacology. 34(3). 1014–1017. 7 indexed citations
11.
Fujita, Kaori, Mizuki Tsuta, Junichi Sugiyama, Masayo Kushiro, & Mario Shibata. (2011). Non-destructive Measurement of Deoxynivalenol in Wheat Flour Using Fluorescence Fingerprinting. Nippon Shokuhin Kagaku Kogaku Kaishi. 58(8). 375–381. 3 indexed citations
12.
Thammawong, Manasikan, Hiroshi Okadome, Takeo Shiina, et al.. (2011). Distinct Distribution of Deoxynivalenol, Nivalenol, and Ergosterol in Fusarium-infected Japanese Soft Red Winter Wheat Milling Fractions. Mycopathologia. 172(4). 323–330. 25 indexed citations
13.
Nagashima, Hitoshi, Masayo Kushiro, & Hiroyuki Nakagawa. (2010). Nuclear factor-κB inhibitors alleviate nivalenol-induced cytotoxicity in HL60 cells. Environmental Toxicology and Pharmacology. 31(1). 258–261. 9 indexed citations
14.
Nagashima, Hitoshi, Hiroyuki Nakagawa, Masayo Kushiro, & Keiko Iwashita. (2009). Contribution of stress-activated MAP kinases to nivalenol-caused cytotoxicity and interleukin-8 secretion in HL60 cells. JSM Mycotoxins. 59(2). 67–73. 6 indexed citations
15.
Tanaka, Kozo, et al.. (2008). Preparation of a reference material containing sterigmatocystin. Food Additives & Contaminants Part A. 25(9). 1141–1146. 2 indexed citations
16.
Kushiro, Masayo, et al.. (2007). Liquid chromatographic determination of fumonisins B1, B2, and B3 in rice. JSM Mycotoxins. 57(2). 95–104. 14 indexed citations
17.
Tanaka, Kenji, et al.. (2007). Mycotoxins in rice. International Journal of Food Microbiology. 119(1-2). 59–66. 184 indexed citations
18.
Kushiro, Masayo, et al.. (2007). Liquid chromatographic determination of fumonisins B1, B2, and B3 in rice [Oryza sativa]. 4 indexed citations
19.
Kushiro, Masayo, Yoko Takahashi, & Takashi Ide. (2004). Species differences in the physiological activity of dietary lignan (sesamin and episesamin) in affecting hepatic fatty acid metabolism. British Journal Of Nutrition. 91(3). 377–386. 24 indexed citations
20.
Kushiro, Masayo, et al.. (2002). Comparative effect of sesamin and episesamin on the activity and gene expression of enzymes in fatty acid oxidation and synthesis in rat liver. The Journal of Nutritional Biochemistry. 13(5). 289–295. 60 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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