Masami Arai

2.4k total citations
128 papers, 1.3k citations indexed

About

Masami Arai is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Masami Arai has authored 128 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Pathology and Forensic Medicine, 39 papers in Genetics and 38 papers in Molecular Biology. Recurrent topics in Masami Arai's work include Genetic factors in colorectal cancer (44 papers), BRCA gene mutations in cancer (31 papers) and Colorectal Cancer Screening and Detection (15 papers). Masami Arai is often cited by papers focused on Genetic factors in colorectal cancer (44 papers), BRCA gene mutations in cancer (31 papers) and Colorectal Cancer Screening and Detection (15 papers). Masami Arai collaborates with scholars based in Japan, Germany and United States. Masami Arai's co-authors include Takeshi Honda, Makoto Yamashita, Takeshi Masuda, Yoshiyuki Kobayashi, Satoru Kaneko, Masao Shiozaki, Yoshio Miki, Takatoshi Ishikawa, Yoko Nakatsuru and Seigo Nakamura and has published in prestigious journals such as Oncogene, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Masami Arai

113 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
Masami Arai Japan 21 452 379 367 306 230 128 1.3k
F. A. CAREY United Kingdom 20 352 0.8× 990 2.6× 481 1.3× 232 0.8× 155 0.7× 42 1.7k
Hitomi Yamamoto Japan 20 675 1.5× 506 1.3× 90 0.2× 182 0.6× 97 0.4× 40 1.7k
Arthur M. Baca United States 9 461 1.0× 333 0.9× 239 0.7× 62 0.2× 272 1.2× 16 1.3k
Barry L. Gause United States 21 530 1.2× 851 2.2× 279 0.8× 82 0.3× 167 0.7× 40 1.9k
Robert J. Fram United States 25 903 2.0× 598 1.6× 130 0.4× 101 0.3× 82 0.4× 82 1.6k
Guiying Zhang China 22 624 1.4× 211 0.6× 253 0.7× 31 0.1× 164 0.7× 113 1.5k
Paul Foster United States 19 595 1.3× 832 2.2× 156 0.4× 91 0.3× 101 0.4× 78 1.6k
Marc Abrams United States 22 1.1k 2.5× 281 0.7× 77 0.2× 83 0.3× 117 0.5× 41 1.6k
Randy F. Sweis United States 21 726 1.6× 1.0k 2.7× 112 0.3× 115 0.4× 105 0.5× 76 2.1k
Patricia Tsang United States 20 336 0.7× 304 0.8× 363 1.0× 38 0.1× 168 0.7× 30 1.1k

Countries citing papers authored by Masami Arai

Since Specialization
Citations

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

Fields of papers citing papers by Masami Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masami Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Masami Arai. A scholar is included among the top collaborators of Masami Arai 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 Masami Arai. Masami Arai 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
3.
Horimoto, Yoshiya, Hidetaka Eguchi, Katsuya Nakai, et al.. (2023). BRCAness of brain lesions reflects a worse outcome for patients with metastatic breast cancer. Breast Cancer Research and Treatment. 203(1). 49–55. 1 indexed citations
5.
Yanagihara, Hiromi, Yoshiya Horimoto, Tatsuhiko Imaoka, et al.. (2023). Azithromycin induces read-through of the nonsense Apc allele and prevents intestinal tumorigenesis in C3B6F1 Apc/+ mice. Biomedicine & Pharmacotherapy. 164. 114968–114968. 5 indexed citations
6.
Ji, Shuting, Asuka Suzuki, Yusuke Iwasaki, et al.. (2023). Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model. Journal of Human Genetics. 68(12). 849–857. 1 indexed citations
7.
Urakami, Shinji, et al.. (2023). The prevalence of lynch syndrome (DNA mismatch repair protein deficiency) in patients with primary localized prostate cancer using immunohistochemistry screening. Hereditary Cancer in Clinical Practice. 21(1). 20–20. 1 indexed citations
8.
Nishimura, Yukiko, K. Nagata, Mayumi Nishimura, et al.. (2022). Brca1L63X/+ rat is a novel model of human BRCA1 deficiency displaying susceptibility to radiation‐induced mammary cancer. Cancer Science. 113(10). 3362–3375. 11 indexed citations
9.
Mitamura, Takashi, Masayuki Sekine, Masami Arai, et al.. (2020). Risk factors for lymph node metastasis of ovarian, fallopian tube and primary peritoneal cancer in hereditary breast and ovarian cancer syndrome. Japanese Journal of Clinical Oncology. 50(12). 1380–1385. 5 indexed citations
10.
Nomura, Hidetaka, Masayuki Sekine, Shiro Yokoyama, et al.. (2019). Clinical background and outcomes of risk-reducing salpingo-oophorectomy for hereditary breast and ovarian cancers in Japan. International Journal of Clinical Oncology. 24(9). 1105–1110. 10 indexed citations
11.
Yoshida, Reiko, Chie Watanabe, Shiro Yokoyama, et al.. (2019). Analysis of clinical characteristics of breast cancer patients with the Japanese founder mutation BRCA1 L63X. Oncotarget. 10(35). 3276–3284. 18 indexed citations
12.
Nagasaki, Toshiya, Masami Arai, Akiko Chino, et al.. (2017). Feasibility of Segmental Colectomy Followed by Endoscopic Surveillance as a Treatment Strategy for Colorectal Cancer Patients with Lynch Syndrome. Digestive Surgery. 35(5). 448–456. 5 indexed citations
13.
Makita, Masujiro, Takehiko Sakai, Akemi Kataoka, et al.. (2015). Decreased hormonal sensitivity after childbirth rather than the tumor size influences the prognosis of very young breast cancer patients. SpringerPlus. 4(1). 365–365.
14.
Konishi, Tsuyoshi, Masami Arai, Masashi Ueno, et al.. (2013). A Case of Gastric Juvenile Polyposis Successfully Diagnosed by Identification of a Germline SMAD4 Mutation. The Japanese Journal of Gastroenterological Surgery. 46(5). 325–333. 2 indexed citations
15.
Noda, Hiroshi, Yo Kato, Hirohide Yoshikawa, et al.. (2005). Microsatellite Instability Caused by <i>hMLH1</i> Promoter Methylation Increases with Tumor Progression in Right-Sided Sporadic Colorectal Cancer. Oncology. 69(4). 354–362. 13 indexed citations
16.
Honda, Takeshi, et al.. (2002). Synthesis and anti-influenza virus activity of 4-guanidino-7-substituted Neu5Ac2en derivatives. Bioorganic & Medicinal Chemistry Letters. 12(15). 1921–1924. 47 indexed citations
17.
Imai, Yasuo, Masami Arai, Seiichiro Shimizu, et al.. (1996). Mutational Analysis of the p53 and K‐ras Genes and Allelotype Study of the Rb‐1 Gene for Investigating the Pathogenesis of Combined Hepatocellular‐Cholangiocellular Carcinomas. Japanese Journal of Cancer Research. 87(10). 1056–1062. 30 indexed citations
18.
Shiozaki, Masao, Yoshiyuki Kobayashi, Masami Arai, et al.. (1991). Synthesis of 2-deoxy-2-[(2,2-difluoro-3-hydroxytetradecanoyl)amino]-3-O-[(R)-3-(tetradecanoyloxy)tetradecanoyl]-D-glucopyranose 4-phosphate. Journal of Medicinal Chemistry. 34(8). 2643–2646. 10 indexed citations
20.
Arai, Masami, et al.. (1975). The Plankton in the Nishina Three Lakes. Japanese Journal of Limnology (Rikusuigaku Zasshi). 36(4). 139–146. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026