Hideyuki Inui

1.8k total citations
72 papers, 1.3k citations indexed

About

Hideyuki Inui is a scholar working on Molecular Biology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hideyuki Inui has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 24 papers in Pollution and 22 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hideyuki Inui's work include Toxic Organic Pollutants Impact (19 papers), Transgenic Plants and Applications (17 papers) and Microbial bioremediation and biosurfactants (17 papers). Hideyuki Inui is often cited by papers focused on Toxic Organic Pollutants Impact (19 papers), Transgenic Plants and Applications (17 papers) and Microbial bioremediation and biosurfactants (17 papers). Hideyuki Inui collaborates with scholars based in Japan, United Kingdom and Serbia. Hideyuki Inui's co-authors include Hideo Ohkawa, N. Shiota, Yasunobu Ohkawa, Heesoo Eun, Kiyoshi Yamazaki, Vladimir Beškoski, Yun-Seok Kim, Chisato Matsumura, Takuya Kodama and Susumu Kodama and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Hideyuki Inui

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideyuki Inui Japan 23 556 483 466 324 164 72 1.3k
Ingolf Schuphan Germany 22 680 1.2× 497 1.0× 582 1.2× 325 1.0× 100 0.6× 88 1.5k
Mirna Helena Regali Seleghim Brazil 24 422 0.8× 372 0.8× 168 0.4× 241 0.7× 268 1.6× 54 1.3k
Eric Eichhorn Switzerland 13 697 1.3× 298 0.6× 273 0.6× 80 0.2× 177 1.1× 22 1.3k
Rajiv Bhadra United States 13 309 0.6× 368 0.8× 253 0.5× 164 0.5× 106 0.6× 16 806
Jimmy K. Avants United States 24 300 0.5× 390 0.8× 867 1.9× 435 1.3× 84 0.5× 33 1.7k
Yoshie Hasegawa Japan 22 970 1.7× 303 0.6× 76 0.2× 88 0.3× 81 0.5× 60 1.4k
Abdolkarim Chehregani Rad Iran 21 255 0.5× 452 0.9× 664 1.4× 189 0.6× 12 0.1× 89 1.6k
M. Irfan Qureshi India 21 567 1.0× 252 0.5× 1.3k 2.7× 71 0.2× 84 0.5× 44 1.7k
J. O. D. Coleman United Kingdom 22 1.0k 1.9× 345 0.7× 1.1k 2.5× 115 0.4× 63 0.4× 46 2.0k
Milan Pavlı́k Czechia 22 336 0.6× 278 0.6× 811 1.7× 72 0.2× 52 0.3× 67 1.3k

Countries citing papers authored by Hideyuki Inui

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Inui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Inui

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Inui. A scholar is included among the top collaborators of Hideyuki Inui 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 Hideyuki Inui. Hideyuki Inui 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.
Inui, Hideyuki, et al.. (2023). Major latex-like proteins show pH dependency in their binding to hydrophobic organic pollutants. Journal of Pesticide Science. 48(3). 71–77. 4 indexed citations
2.
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Inui, Hideyuki, et al.. (2021). Transport enhancement of hydrophobic pollutants by the expression of zucchini major latex-like protein genes in tobacco plants. Journal of Plant Physiology. 263. 153464–153464. 5 indexed citations
4.
Inui, Hideyuki, et al.. (2021). Review: Biological functions of major latex-like proteins in plants. Plant Science. 306. 110856–110856. 45 indexed citations
5.
6.
Haga, Yuki, et al.. (2020). Suppression of the genes responsible for transporting hydrophobic pollutants leads to the production of safer crops. The Science of The Total Environment. 741. 140439–140439. 7 indexed citations
7.
Inui, Hideyuki, et al.. (2019). Factors regulating the differential uptake of persistent organic pollutants in cucurbits and non-cucurbits. Journal of Plant Physiology. 245. 153094–153094. 20 indexed citations
8.
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Beškoski, Vladimir, Atsushi Yamamoto, Takeshi Nakano, et al.. (2018). Defluorination of perfluoroalkyl acids is followed by production of monofluorinated fatty acids. The Science of The Total Environment. 636. 355–359. 36 indexed citations
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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
12.
Yamazaki, Kiyoshi, Motoharu Suzuki, Toshimasa Itoh, et al.. (2011). Structural basis of species differences between human and experimental animal CYP1A1s in metabolism of 3,3′,4,4′,5-pentachlorobiphenyl. The Journal of Biochemistry. 149(4). 487–494. 43 indexed citations
13.
Kawabata, Yukiko, et al.. (2010). Recombinant human AhR-mediated GUS reporter gene assays for PCB congeners in transgenic tobacco plants in comparison with recombinant mouse and guinea pig AhRs. Journal of Environmental Science and Health Part B. 45(8). 741–749. 5 indexed citations
14.
Ohta, Masaya, et al.. (2010). Effects of biosurfactants on assays of PCB congeners in transgenic arabidopsis plants carrying a recombinant guinea pig AhR-mediated GUS reporter gene expression system. Journal of Environmental Science and Health Part B. 45(8). 750–756. 6 indexed citations
15.
Inui, Hideyuki, Hideaki Sasaki, Nam‐Hai Chua, & Hideo Ohkawa. (2009). Bioassay of estrogenic compounds in transgenic Arabidopsis plants carrying a recombinant human estrogen receptor gene and a GFP reporter gene. Transgenic Research. 18(6). 899–909. 4 indexed citations
16.
Kodama, Susumu, Kumiko Okada, Keiko Akimoto, Hideyuki Inui, & Hideo Ohkawa. (2008). Recombinant aryl hydrocarbon receptors for bioassay of aryl hydrocarbon receptor ligands in transgenic tobacco plants. Plant Biotechnology Journal. 7(2). 119–128. 18 indexed citations
17.
Kodama, Susumu, Kumiko Okada, Hideyuki Inui, & Hideo Ohkawa. (2007). Aryl hydrocarbon receptor (AhR)-mediated reporter gene expression systems in transgenic tobacco plants. Planta. 227(1). 37–45. 21 indexed citations
18.
Inui, Hideyuki & Hideo Ohkawa. (2005). Herbicide resistance in transgenic plants with mammalian P450 monooxygenase genes. Pest Management Science. 61(3). 286–291. 44 indexed citations
19.
Yamada, Tetsuya, et al.. (2002). Enhancement of metabolizing herbicides in young tubers of transgenic potato plants with the rat CYP1A1 gene. Theoretical and Applied Genetics. 105(4). 515–520. 22 indexed citations
20.
Shiota, N., et al.. (2000). Expression of Human Cytochromes P450 1A1 and P450 1A2 as Fused Enzymes with Yeast NADPH-cytochrome P450 Oxidoreductase in Transgenic Tobacco Plants. Bioscience Biotechnology and Biochemistry. 64(10). 2025–2033. 23 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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