Hajime Sui

465 total citations
20 papers, 311 citations indexed

About

Hajime Sui is a scholar working on Cancer Research, Molecular Biology and Plant Science. According to data from OpenAlex, Hajime Sui has authored 20 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 12 papers in Molecular Biology and 9 papers in Plant Science. Recurrent topics in Hajime Sui's work include Carcinogens and Genotoxicity Assessment (16 papers), DNA Repair Mechanisms (7 papers) and Genetically Modified Organisms Research (5 papers). Hajime Sui is often cited by papers focused on Carcinogens and Genotoxicity Assessment (16 papers), DNA Repair Mechanisms (7 papers) and Genetically Modified Organisms Research (5 papers). Hajime Sui collaborates with scholars based in Japan, United States and Spain. Hajime Sui's co-authors include Mitsuo Oshimura, Kohzoh Mitsuya, Hiroyuki Kugoh, Atsushi Hakura, Mitsuyoshi Nakao, Masaki Meguro, Madoka Nakajima, Satoshi O. Suzuki, Tetsuo Satoh and Sachiko Kitamoto and has published in prestigious journals such as Human Molecular Genetics, Food and Chemical Toxicology and Mutation Research/Genetic Toxicology and Environmental Mutagenesis.

In The Last Decade

Hajime Sui

20 papers receiving 298 citations

Peers

Hajime Sui
Soheir M. El Nahas Egypt
Wan Adnan Wan Omar Malaysia
Wen‐Xiang Liu China
L Lamberti Italy
C. S. Reddy United States
Sarah Alves Auharek Brazil
C. Colella Italy
Timothy Schrader Canada
Martina Karasová Slovakia
Zubin S. Khambatta United States
Soheir M. El Nahas Egypt
Hajime Sui
Citations per year, relative to Hajime Sui Hajime Sui (= 1×) peers Soheir M. El Nahas

Countries citing papers authored by Hajime Sui

Since Specialization
Citations

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

Fields of papers citing papers by Hajime Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hajime Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Sui. A scholar is included among the top collaborators of Hajime Sui 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 Hajime Sui. Hajime Sui 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.
Hakura, Atsushi, Hajime Sui, Jiro Sonoda, et al.. (2023). DNA polymerase κ suppresses inflammation and inflammation-induced mutagenesis and carcinogenic potential in the colon of mice. Genes and Environment. 45(1). 15–15. 2 indexed citations
2.
Hamada, Shuichi, Satoru Kawakami, Hajime Sui, et al.. (2019). Evaluation of the novel liver micronucleus assay using formalin-fixed tissues. Genes and Environment. 41(1). 13–13. 13 indexed citations
3.
Hakura, Atsushi, Hajime Sui, Jiro Sonoda, Tomonari Matsuda, & Takehiko Nohmi. (2019). DNA polymerase kappa counteracts inflammation‐induced mutagenesis in multiple organs of mice. Environmental and Molecular Mutagenesis. 60(4). 320–330. 8 indexed citations
4.
Kato, Masayuki, Kei‐ichi Sugiyama, Toshiro Fukushima, et al.. (2018). Negative and positive control ranges in the bacterial reverse mutation test: JEMS/BMS collaborative study. Genes and Environment. 40(1). 7–7. 15 indexed citations
5.
Nakagawa, Yuzuki, Tomoyasu Toyoizumi, Hajime Sui, et al.. (2015). In vivo comet assay of acrylonitrile, 9-aminoacridine hydrochloride monohydrate and ethanol in rats. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 786-788. 104–113. 7 indexed citations
6.
Yamakage, Kohji, Hajime Sui, Ryo Ohta, et al.. (2014). Genotoxic potential and in vitro tumour-promoting potential of 2-dodecylcyclobutanone and 2-tetradecylcyclobutanone, two radiolytic products of fatty acids. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 770. 95–104. 4 indexed citations
7.
Shimada, Yasushi, Hajime Sui, Yumi Wako, & Kazufumi Kawasako. (2014). Evaluation of the repeated-dose liver micronucleus assay with p-dimethylaminoazobenzene. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 780-781. 56–59. 2 indexed citations
8.
Sui, Hajime, Hirotaka Matsumoto, Yumi Wako, & Kazufumi Kawasako. (2014). Evaluation of in vivo genotoxicity by thioacetamide in a 28-day repeated-dose liver micronucleus assay using male young adult rats. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 780-781. 81–84. 3 indexed citations
9.
10.
Toyoizumi, Tomoyasu, Ryo Ohta, Yuzuki Nakagawa, et al.. (2012). Usefulness of combined in vivo skin comet assay and in vivo skin micronucleus test. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 743(1-2). 42–51. 4 indexed citations
11.
Toyoizumi, Tomoyasu, Mika Watanabe, Hajime Sui, et al.. (2012). Evaluation of effect during cell isolation process in alkaline comet assay using epidermal skin cells. The Journal of Toxicological Sciences. 37(6). 1267–1273. 6 indexed citations
12.
Sui, Hajime, et al.. (2009). Safety assessment of Lactobacillus brevis KB290 as a probiotic strain. Food and Chemical Toxicology. 47(10). 2450–2453. 45 indexed citations
13.
Sui, Hajime, et al.. (2009). Improvement and Evaluation of High Throughput Fluctuation Ames Test Using 384-well Plate with Salmonella typhimurium TA100 and TA98. Genes and Environment. 31(2). 47–55. 7 indexed citations
14.
Hara, Takumi, et al.. (2007). In vivo photochemical skin micronucleus test using a sunlight simulator: Detection of 8-methoxypsoralen and benzo[a]pyrene in hairless mice. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 631(1). 1–8. 13 indexed citations
15.
Hakura, Atsushi, Hiroyasu Shimada, Madoka Nakajima, et al.. (2005). Salmonella/human S9 mutagenicity test: a collaborative study with 58 compounds. Mutagenesis. 20(3). 217–228. 60 indexed citations
16.
Hara, Takumi, et al.. (1999). Mutation induction by N-propyl-N-nitrosourea in eight Muta™Mouse organs. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 444(2). 297–307. 13 indexed citations
17.
Hara, Takumi, Hajime Sui, K Kawakami, Yasushi Shimada, & Tohru Shibuya. (1999). Partial hepatectomy strongly increased the mutagenicity ofN-ethyl-N-nitrosourea in Muta?Mouse liver. Environmental and Molecular Mutagenesis. 34(2-3). 121–123. 12 indexed citations
18.
Sui, Hajime, Makoto Suzuki, Masami Yamada, et al.. (1999). Effects ofO6-alkylguanine-DNA alkyltransferase deficiency inEscherichia coli as the host for the detection of mutations inlacI transgenic mice. Environmental and Molecular Mutagenesis. 34(2-3). 221–226. 10 indexed citations
19.
Mitsuya, Kohzoh, Makiko Meguro, Hajime Sui, et al.. (1998). Epigenetic reprogramming of the human H19 gene in mouse embryonic cells does not erase the primary parental imprint. Genes to Cells. 3(4). 245–255. 14 indexed citations
20.
Meguro, Masaki, Kohzoh Mitsuya, Hajime Sui, et al.. (1997). Evidence for Uniparental, Paternal Expression of the Human GABAA Receptor Subunit Genes, Using Microcell-Mediated Chromosome Transfer. Human Molecular Genetics. 6(12). 2127–2133. 69 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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