Masako Muguruma

539 total citations
28 papers, 425 citations indexed

About

Masako Muguruma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Masako Muguruma has authored 28 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Masako Muguruma's work include Genomics, phytochemicals, and oxidative stress (12 papers), Glutathione Transferases and Polymorphisms (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Masako Muguruma is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (12 papers), Glutathione Transferases and Polymorphisms (6 papers) and Pharmacogenetics and Drug Metabolism (5 papers). Masako Muguruma collaborates with scholars based in Japan, United States and Sri Lanka. Masako Muguruma's co-authors include Kunitoshi Mitsumori, Meilan Jin, Jihei Nishimura, Yasuaki Dewa, Takashi Umemura, Yoko Kashida, Yukie Saegusa, Toshiya Okamura, Miwa Okamura and Yuji Oishi and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cancer Letters and Food and Chemical Toxicology.

In The Last Decade

Masako Muguruma

25 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masako Muguruma Japan 12 237 99 91 83 43 28 425
Delira Robbins United States 14 277 1.2× 112 1.1× 101 1.1× 101 1.2× 40 0.9× 19 532
Yukinori Mera Japan 11 341 1.4× 93 0.9× 168 1.8× 77 0.9× 47 1.1× 26 599
Tiphaine Huet France 10 184 0.8× 32 0.3× 48 0.5× 53 0.6× 36 0.8× 13 421
Meng‐Liang Lin Taiwan 13 319 1.3× 83 0.8× 98 1.1× 38 0.5× 33 0.8× 27 619
John T. Piper United States 14 484 2.0× 135 1.4× 58 0.6× 58 0.7× 49 1.1× 19 689
Vipendra Kumar Singh India 10 181 0.8× 65 0.7× 64 0.7× 38 0.5× 16 0.4× 26 443
Alan Novotny United States 6 155 0.7× 88 0.9× 119 1.3× 105 1.3× 27 0.6× 6 594
Emako Suzuki Japan 15 205 0.9× 81 0.8× 91 1.0× 97 1.2× 12 0.3× 45 516
Cong Qi China 16 173 0.7× 59 0.6× 60 0.7× 60 0.7× 16 0.4× 43 602

Countries citing papers authored by Masako Muguruma

Since Specialization
Citations

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

Fields of papers citing papers by Masako Muguruma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Muguruma

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Muguruma. A scholar is included among the top collaborators of Masako Muguruma 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 Masako Muguruma. Masako Muguruma 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.
Muguruma, Masako, Yoshiya Horimoto, Mariko Asaoka, et al.. (2025). Sustained-release of 4-hydroxytamoxifen inhibits capsular contracture after breast implant placement in a mouse model. Breast Cancer. 32(6). 1290–1297.
3.
Muguruma, Masako, et al.. (2022). β-Tubulin Isoforms Related to Docetaxel Sensitivity in 2D and 3D Cultured TNBC Cell Lines. Anticancer Research. 42(10). 4735–4742.
4.
Muguruma, Masako, et al.. (2020). Differences in drug sensitivity between two-dimensional and three-dimensional culture systems in triple-negative breast cancer cell lines. Biochemical and Biophysical Research Communications. 533(3). 268–274. 52 indexed citations
5.
Muguruma, Masako, Naoharu Takano, Hiroshi Kaise, et al.. (2020). Association of BRCA Mutations and BRCAness Status With Anticancer Drug Sensitivities in Triple-Negative Breast Cancer Cell Lines. Journal of Surgical Research. 250. 200–208. 9 indexed citations
6.
Muguruma, Masako, Masaomi Kawai, Yasuaki Dewa, et al.. (2008). Threshold dose of piperonyl butoxide that induces reactive oxygen species-mediated hepatocarcinogenesis in rats. Archives of Toxicology. 83(2). 183–193. 19 indexed citations
7.
Muguruma, Masako, et al.. (2008). Piperonyl butoxide activates c-Jun and ATF-2 in the hepatocytes of mice. Archives of Toxicology. 82(10). 749–753. 3 indexed citations
8.
Nishimura, Jihei, Yasuaki Dewa, Toshiya Okamura, et al.. (2008). Possible involvement of oxidative stress in fenofibrate-induced hepatocarcinogenesis in rats. Archives of Toxicology. 82(9). 641–654. 38 indexed citations
9.
Dewa, Yasuaki, Jihei Nishimura, Masako Muguruma, et al.. (2008). Involvement of oxidative stress in hepatocellular tumor-promoting activity of oxfendazole in rats. Archives of Toxicology. 83(5). 503–511. 33 indexed citations
10.
Dewa, Yasuaki, Jihei Nishimura, Masako Muguruma, et al.. (2007). Gene expression analyses of the liver in rats treated with oxfendazole. Archives of Toxicology. 81(9). 647–654. 11 indexed citations
11.
Jin, Meilan, et al.. (2007). Thirteen-week repeated dose toxicity of Siraitia grosvenori extract in Wistar Hannover (GALAS) rats. Food and Chemical Toxicology. 45(7). 1231–1237. 16 indexed citations
12.
Yokouchi, Yusuke, Masako Muguruma, Masashi Takahashi, et al.. (2007). Molecular Analysis on the Possible Mechanism of .BETA.-Naphthoflavone-Induced Hepatocarcinogenesis in Rats. Journal of Toxicologic Pathology. 20(1). 29–37. 1 indexed citations
13.
Muguruma, Masako, Akira Unami, Masayuki Kanki, et al.. (2007). Possible involvement of oxidative stress in piperonyl butoxide induced hepatocarcinogenesis in rats. Toxicology. 236(1-2). 61–75. 67 indexed citations
14.
Jin, Meilan, Masashi Takahashi, Masako Muguruma, et al.. (2007). Carcinogenic susceptibility of rasH2 mice to troglitazone. Archives of Toxicology. 81(12). 883–894. 9 indexed citations
15.
16.
Okamura, Miwa, Akira Unami, Masako Muguruma, et al.. (2006). The possible mechanism of enhanced carcinogenesis induced by genotoxic carcinogens in rasH2 mice. Cancer Letters. 245(1-2). 321–330. 11 indexed citations
17.
Okamura, Miwa, Masako Muguruma, Tadashi Ito, et al.. (2006). A 26-Week Carcinogenicity Study of 2-Amino-3-Methylimidazo[4,5- f ]Quinoline in rasH2 Mice. Toxicologic Pathology. 34(2). 199–205. 1 indexed citations
18.
Kashida, Yoko, Akiko Takahashi, Miwa Okamura, et al.. (2006). Gene expression analysis in mice liver on hepatocarcinogenesis by flumequine. Archives of Toxicology. 80(8). 533–539. 13 indexed citations
19.
Muguruma, Masako, Jihei Nishimura, Meilan Jin, et al.. (2006). Molecular pathological analysis for determining the possible mechanism of piperonyl butoxide-induced hepatocarcinogenesis in mice. Toxicology. 228(2-3). 178–187. 22 indexed citations
20.
Muguruma, Masako, et al.. (2005). Molecular mechanism on the testicular toxicity of 1,3-dinitrobenzene in Sprague-Dawley rats: preliminary study. Archives of Toxicology. 79(12). 729–736. 16 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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