Shiro Míyake

1.4k total citations
67 papers, 1.2k citations indexed

About

Shiro Míyake is a scholar working on Food Science, Molecular Biology and Insect Science. According to data from OpenAlex, Shiro Míyake has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Food Science, 16 papers in Molecular Biology and 15 papers in Insect Science. Recurrent topics in Shiro Míyake's work include Pesticide Residue Analysis and Safety (28 papers), Insect and Pesticide Research (15 papers) and Mycotoxins in Agriculture and Food (12 papers). Shiro Míyake is often cited by papers focused on Pesticide Residue Analysis and Safety (28 papers), Insect and Pesticide Research (15 papers) and Mycotoxins in Agriculture and Food (12 papers). Shiro Míyake collaborates with scholars based in Japan, United States and Germany. Shiro Míyake's co-authors include Eiki Watanabe, Koji Baba, Yasuhiro Yogo, Seiji Iwasa, Heesoo Eun, Yuki Hirakawa, Hiroshi Narita, Shozo ENDO, Ayako Harada and Eri Watanabe and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Analytical Chemistry.

In The Last Decade

Shiro Míyake

65 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiro Míyake Japan 21 396 319 264 181 169 67 1.2k
Weimin Shi China 19 215 0.5× 377 1.2× 29 0.1× 252 1.4× 211 1.2× 31 926
Zengshan Liu China 25 165 0.4× 1.0k 3.2× 30 0.1× 461 2.5× 116 0.7× 112 1.8k
Steven M. Gendel United States 23 353 0.9× 602 1.9× 22 0.1× 161 0.9× 155 0.9× 65 1.6k
Duncan A. Veal Australia 22 179 0.5× 599 1.9× 65 0.2× 235 1.3× 81 0.5× 37 1.5k
Limin Cao China 18 101 0.3× 400 1.3× 31 0.1× 212 1.2× 37 0.2× 77 861
Rachele Isticato Italy 26 266 0.7× 930 2.9× 27 0.1× 185 1.0× 281 1.7× 79 2.0k
Junli Feng China 20 91 0.2× 639 2.0× 35 0.1× 267 1.5× 329 1.9× 76 1.3k
Alexandr Е. Urusov Russia 17 75 0.2× 602 1.9× 35 0.1× 676 3.7× 291 1.7× 31 1.1k
Rita Melo Portugal 16 78 0.2× 233 0.7× 56 0.2× 64 0.4× 94 0.6× 47 854
Y. Zuo United States 22 76 0.2× 1.3k 4.0× 23 0.1× 81 0.4× 119 0.7× 28 1.9k

Countries citing papers authored by Shiro Míyake

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Míyake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Míyake

This figure shows the co-authorship network connecting the top 25 collaborators of Shiro Míyake. A scholar is included among the top collaborators of Shiro Míyake 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 Shiro Míyake. Shiro Míyake 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
2.
Miyasaka, Atsushi, et al.. (2025). Rapid and easy determination of mycotoxin nivalenol in wheat and barley by direct competitive enzyme-linked immunosorbent assay. Food Control. 177. 111432–111432. 1 indexed citations
4.
Yoshinari, Tomoya, Yoshiko Sugita‐Konishi, Eiko Sato, et al.. (2023). Survey and risk assessment of aflatoxins and sterigmatocystin in Japanese staple food items and the evaluation of an in-house ELISA technique for rapid screening. Food Control. 157. 110154–110154. 13 indexed citations
5.
Míyake, Shiro, Yuki Hirakawa, Eiki Watanabe, et al.. (2019). Simultaneous Detection of Six Different Types of Pesticides by an Immunosensor Based on Surface Plasmon Resonance. Analytical Sciences. 36(3). 335–340. 17 indexed citations
6.
Nakano, Satoshi, Miki Nagao, Hiroyuki Morimura, et al.. (2018). Evaluation of a surface plasmon resonance imaging-based multiplex O-antigen serogrouping for Escherichia coli using eleven major serotypes of Shiga -toxin-producing E. coli. Journal of Infection and Chemotherapy. 24(6). 443–448. 10 indexed citations
8.
Ojima‐Kato, Teruyo, H. Yamamoto, Shiro Míyake, et al.. (2016). ‘Zipbody’ leucine zipper-fused Fab inE. coli in vitroandin vivoexpression systems. Protein Engineering Design and Selection. 29(4). 149–157. 22 indexed citations
9.
Inui, Hideyuki, et al.. (2012). Enzyme-Linked Immunosorbent Assay with Monoclonal and Single-Chain Variable Fragment Antibodies Selective to Coplanar Polychlorinated Biphenyls. Journal of Agricultural and Food Chemistry. 60(7). 1605–1612. 9 indexed citations
10.
Watanabe, Eiki, Yuso Kobara, & Shiro Míyake. (2012). Validation of a commercial ELISA for the analysis of the insecticide dinotefuran in a variety of analytically challenging vegetables. Food Additives & Contaminants Part A. 29(7). 1067–1073. 7 indexed citations
11.
Watanabe, Eiki & Shiro Míyake. (2012). Quantitative analysis of fungicide azoxystrobin in agricultural samples with rapid, simple and reliable monoclonal immunoassay. Food Chemistry. 136(2). 695–702. 8 indexed citations
13.
Narita, Hiroshi, et al.. (2011). Development of an immuno-affinity column for ochratoxin analysis using an organic solvent-tolerant monoclonal antibody. Methods. 56(2). 180–185. 6 indexed citations
14.
Yamashita, Hiroshi, et al.. (2009). Development of a Novel Immunoaffinity Column for Aflatoxin Analysis Using an Organic Solvent-Tolerant Monoclonal Antibody. Journal of Agricultural and Food Chemistry. 57(19). 8728–8734. 29 indexed citations
15.
Watanabe, Eiki, Shiro Míyake, Koji Baba, Heesoo Eun, & Shozo ENDO. (2006). Immunoassay for acetamiprid detection: application to residue analysis and comparison with liquid chromatography. Analytical and Bioanalytical Chemistry. 386(5). 1441–1448. 47 indexed citations
16.
Yoshizawa, Yusuke, et al.. (1995). A follow-up study of pulmonary function tests, bronchoalveolar lavage cells, and humoral and cellular immunity in bird fancier's lung. Journal of Allergy and Clinical Immunology. 96(1). 122–129. 47 indexed citations
17.
Míyake, Shiro, Hideki Imai, Shiro Kato, et al.. (1991). Production of infectious particles from defective human immunodeficiency virus type 1 (HIV-1)-producing cell clones by superinfection with infectious HIV-1. Archives of Virology. 116(1-4). 143–158. 29 indexed citations
18.
Míyake, Shiro, Haruo Sugiyama, Yukako Tani, Tsunehiko Fukuda, & S. Kishimoto. (1990). IDENTIFICATION OF A RECOMBINATIONAL SIGNAL SEQUENCE‐SPECIFIC DNA‐BINDING PROTEIN(S) OF Mr 115,000 IN THE NUCLEAR EXTRACTS FROM IMMATURE LYMPHOID CELL LINES. International Journal of Immunogenetics. 17(1-2). 67–75. 6 indexed citations
19.
Ikuta, Kazuyoshi, Chizuko Morita, Shiro Míyake, et al.. (1989). Expression of human immunodeficiency virus type 1 (HIV-1) gag antigens on the surface of a cell line persistently infected with HIV-1 that highly expresses HIV-1 antigens. Virology. 170(2). 408–417. 74 indexed citations
20.
Sugiyama, Haruo, Takuya Maeda, Yukako Tani, et al.. (1987). Selective use of the VHQ52 family in functional VH to DJH rearrangements in a B precursor cell line.. The Journal of Experimental Medicine. 166(2). 607–612. 22 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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