Masako Kasami

1.9k total citations
54 papers, 1.5k citations indexed

About

Masako Kasami is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Masako Kasami has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pathology and Forensic Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Cancer Research. Recurrent topics in Masako Kasami's work include Breast Lesions and Carcinomas (31 papers), MRI in cancer diagnosis (20 papers) and Breast Cancer Treatment Studies (17 papers). Masako Kasami is often cited by papers focused on Breast Lesions and Carcinomas (31 papers), MRI in cancer diagnosis (20 papers) and Breast Cancer Treatment Studies (17 papers). Masako Kasami collaborates with scholars based in Japan, United States and Switzerland. Masako Kasami's co-authors include Takayoshi Uematsu, Sachiko Yuen, Junichiro Watanabe, Yoshihiro Uchida, David L. Page, Kumiko Tanaka, Roy A. Jensen, Yoshio Kiyohara, William D. Dupont and Cindy L. Vnencak‐Jones and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Breast Cancer Research and Treatment.

In The Last Decade

Masako Kasami

53 papers receiving 1.4k 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 Kasami Japan 20 759 654 602 318 157 54 1.5k
Eren D. Yeh United States 23 1.0k 1.4× 663 1.0× 740 1.2× 460 1.4× 82 0.5× 57 1.9k
Anna W. Poniecka United States 11 337 0.4× 439 0.7× 832 1.4× 689 2.2× 109 0.7× 16 1.4k
Markus Hahn Germany 18 476 0.6× 511 0.8× 439 0.7× 192 0.6× 114 0.7× 62 1.1k
Mijung Jang South Korea 19 597 0.8× 424 0.6× 255 0.4× 150 0.5× 117 0.7× 74 1.1k
Eleanor Cornford United Kingdom 17 221 0.3× 351 0.5× 410 0.7× 253 0.8× 72 0.5× 38 874
Eun Young Chae South Korea 25 989 1.3× 488 0.7× 535 0.9× 310 1.0× 39 0.2× 112 1.7k
Helen Denley United Kingdom 19 274 0.4× 320 0.5× 541 0.9× 416 1.3× 84 0.5× 40 1.3k
Joo Hee South Korea 29 1.5k 2.0× 899 1.4× 708 1.2× 415 1.3× 86 0.5× 138 2.5k
R. Schulz-Wendtland Germany 16 423 0.6× 350 0.5× 434 0.7× 357 1.1× 25 0.2× 65 1.2k
D. Faverly Belgium 12 130 0.2× 551 0.8× 679 1.1× 389 1.2× 107 0.7× 32 1.1k

Countries citing papers authored by Masako Kasami

Since Specialization
Citations

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

Fields of papers citing papers by Masako Kasami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Kasami

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Kasami. A scholar is included among the top collaborators of Masako Kasami 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 Kasami. Masako Kasami 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.
Ogata, Dai, Yoshio Kiyohara, Shusuke Yoshikawa, & Masako Kasami. (2013). Treatment strategy for cutaneous apocrine carcinoma. International Journal of Clinical Oncology. 19(4). 712–715. 19 indexed citations
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Uematsu, Takayoshi, Masako Kasami, & Junichiro Watanabe. (2012). Can T2-weighted 3-T breast MRI predict clinically occult inflammatory breast cancer before pathological examination? A single-center experience. Breast Cancer. 21(1). 115–121. 16 indexed citations
4.
Ogiya, Akiko, Kaoru Takahashi, Mutsumi Sato, et al.. (2012). Metastatic breast carcinoma of the abdominal wall muscle: a case report. Breast Cancer. 22(2). 206–209. 10 indexed citations
5.
Uematsu, Takayoshi & Masako Kasami. (2012). 3T-MRI, elastography, digital mammography, and FDG-PET CT findings of subcutaneous panniculitis-like T-cell lymphoma (SPTCL) of the breast. Japanese Journal of Radiology. 30(9). 766–771. 15 indexed citations
6.
Uematsu, Takayoshi, Masako Kasami, Kaoru Takahashi, et al.. (2011). Clip placement after an 11-gauge vacuum-assisted stereotactic breast biopsy: correlation between breast thickness and clip movement. Breast Cancer. 19(1). 30–36. 14 indexed citations
7.
Yamada, Hidetaka, Kazuya Shinmura, Hiroaki Ito, et al.. (2011). Germline alterations in the CDH1 gene in familial gastric cancer in the Japanese population. Cancer Science. 102(10). 1782–1788. 32 indexed citations
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Uematsu, Takayoshi & Masako Kasami. (2009). MR imaging findings of benign and malignant circumscribed breast masses: part 2. Cystic circumscribed masses. Japanese Journal of Radiology. 27(10). 405–409. 7 indexed citations
10.
Kasami, Masako, et al.. (2008). Comparison of estrogen receptor, progesterone receptor and Her-2 status in breast cancer pre- and post-neoadjuvant chemotherapy. The Breast. 17(5). 523–527. 68 indexed citations
11.
Uematsu, Takayoshi, Sachiko Yuen, Masako Kasami, & Yoshihiro Uchida. (2008). Comparison of magnetic resonance imaging, multidetector row computed tomography, ultrasonography, and mammography for tumor extension of breast cancer. Breast Cancer Research and Treatment. 112(3). 461–474. 86 indexed citations
12.
Yuen, Sachiko, Takayoshi Uematsu, Masako Kasami, Yoshihiro Uchida, & Tsunehiko Nishimura. (2008). Segmental enhancement on breast MR images: differential diagnosis and diagnostic strategy. European Radiology. 18(10). 2067–2075. 17 indexed citations
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Yuen, Sachiko, Takayoshi Uematsu, Masako Kasami, et al.. (2007). Breast carcinomas with strong high‐signal intensity on T2‐weighted MR images: Pathological characteristics and differential diagnosis. Journal of Magnetic Resonance Imaging. 25(3). 502–510. 72 indexed citations
16.
Uematsu, Takayoshi, Sachiko Yuen, Masako Kasami, & Yoshihiro Uchida. (2006). Dynamic contrast-enhanced MR imaging in screening detected microcalcification lesions of the breast: is there any value?. Breast Cancer Research and Treatment. 103(3). 269–281. 43 indexed citations
17.
Moriya, Takuya, Masako Kasami, Futoshi Akiyama, et al.. (2000). A proposal for the histopathological diagnosis of ductal carcinoma in situ of the Breast. Breast Cancer. 7(4). 321–325. 11 indexed citations
18.
Kasami, Masako, Cindy L. Vnencak‐Jones, Suzanne Manning, et al.. (1998). Monoclonality in fibroadenomas with complex histology and phyllodal features. Breast Cancer Research and Treatment. 50(2). 185–191. 15 indexed citations
19.
Kasami, Masako, Joyce E. Johnson, Vernon Reynolds, & David L. Page. (1997). Segmental resection of secretory carcinoma of the breast in a young woman: 14-year follow-up. The Breast. 6(6). 383–385. 4 indexed citations
20.
Thurman, Gary B., et al.. (1996). Acute inflammatory changes in subcutaneous microtumors in the ears of mice induced by intravenous CM101 (GBS toxin). Journal of Cancer Research and Clinical Oncology. 122(9). 549–553. 11 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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