Ei Ueno

3.3k total citations · 1 hit paper
57 papers, 2.3k citations indexed

About

Ei Ueno is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Ei Ueno has authored 57 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 17 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Ei Ueno's work include Breast Lesions and Carcinomas (14 papers), Ultrasound Imaging and Elastography (13 papers) and Breast Cancer Treatment Studies (9 papers). Ei Ueno is often cited by papers focused on Breast Lesions and Carcinomas (14 papers), Ultrasound Imaging and Elastography (13 papers) and Breast Cancer Treatment Studies (9 papers). Ei Ueno collaborates with scholars based in Japan, United States and China. Ei Ueno's co-authors include Tsuyoshi Shiina, Eriko Tohno, Makoto Yamakawa, Takeshi Matsumura, Hiroshi Kamma, Hideto Takahashi, Ako Itoh, Naotaka Nitta, Jeffrey C. Bamber and Yuji Aiyoshi and has published in prestigious journals such as Radiology, Clinical Cancer Research and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Ei Ueno

54 papers receiving 2.2k citations

Hit Papers

Breast Disease: Clinical Application of US Elastography f... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ei Ueno Japan 19 1.4k 1.1k 365 315 313 57 2.3k
Eriko Tohno Japan 21 1.6k 1.1× 994 0.9× 346 0.9× 437 1.4× 519 1.7× 85 3.0k
Masako Kataoka Japan 33 1.9k 1.4× 538 0.5× 155 0.4× 443 1.4× 169 0.5× 143 3.4k
Ahmed El Kaffas United States 17 886 0.6× 964 0.9× 137 0.4× 262 0.8× 108 0.3× 54 2.0k
Andrej Lyshchik United States 30 1.4k 1.0× 979 0.9× 130 0.4× 760 2.4× 237 0.8× 109 3.1k
Dae Chul Jung South Korea 26 963 0.7× 500 0.5× 156 0.4× 383 1.2× 99 0.3× 104 2.2k
Regina J. Hooley United States 20 1.3k 0.9× 657 0.6× 235 0.6× 128 0.4× 551 1.8× 40 2.4k
Gina K. Hesley United States 23 966 0.7× 940 0.9× 180 0.5× 459 1.5× 89 0.3× 69 2.7k
Joseph R. Grajo United States 20 583 0.4× 329 0.3× 38 0.1× 476 1.5× 245 0.8× 83 1.7k
O. Hélénon France 33 984 0.7× 661 0.6× 55 0.2× 621 2.0× 129 0.4× 181 3.1k
Junji Machi United States 29 622 0.4× 450 0.4× 118 0.3× 847 2.7× 579 1.8× 97 2.3k

Countries citing papers authored by Ei Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Ei Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ei Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Ei Ueno. A scholar is included among the top collaborators of Ei Ueno 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 Ei Ueno. Ei Ueno 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.
Takahashi, Hideto, Hiroshi Kaise, Kimito Yamada, et al.. (2023). Delayed Diagnosis and Prognostic Impact of Breast Cancer During the COVID-19 Pandemic. Clinical Breast Cancer. 23(3). 265–271. 9 indexed citations
2.
Ito, Toshikazu, Ei Ueno, Tokiko Endo, et al.. (2023). The Japan Society of Ultrasonics in Medicine guidelines on non-mass abnormalities of the breast. Journal of Medical Ultrasonics. 50(3). 331–339. 12 indexed citations
3.
Ban, Kanako, Hiroko Tsunoda, Takanori Watanabe, et al.. (2019). Characteristics of ultrasonographic images of ductal carcinoma in situ with abnormalities of the ducts. Journal of Medical Ultrasonics. 47(1). 107–115. 13 indexed citations
4.
Watanabe, Takanori, Takuhiro Yamaguchi, Hiroko Tsunoda, et al.. (2017). Ultrasound Image Classification of Ductal Carcinoma In Situ (DCIS) of the Breast: Analysis of 705 DCIS Lesions 1. Ultrasound in Medicine & Biology. 43(5). 918–925. 38 indexed citations
5.
Ueno, Ei, et al.. (2015). A preliminary prospective study to compare the diagnostic performance of assist strain ratio versus manual strain ratio. Journal of Medical Ultrasonics. 42(4). 521–531. 6 indexed citations
6.
Tanaka, Yuko, et al.. (2014). Spontaneous regression of breast angiosarcoma after conservative treatment with radiotherapy: a case report and review of the literature. Journal of Medical Ultrasonics. 42(3). 427–432. 5 indexed citations
7.
Ueno, Ei, Takeshi Matsumura, Makoto Yamakawa, et al.. (2014). Ex Vivo and In Vivo Assessment of the Non-linearity of Elasticity Properties of Breast Tissues for Quantitative Strain Elastography. Ultrasound in Medicine & Biology. 40(8). 1755–1768. 34 indexed citations
8.
Tohno, Eriko, Ei Ueno, & Hiroshi Watanabe. (2008). Ultrasound screening of breast cancer. Breast Cancer. 16(1). 18–22. 46 indexed citations
9.
Tohno, Eriko, Ei Ueno, & Kumi Aita. (2008). Ultrasound images and pathological correlation of breast diseases. Choonpa Igaku. 35(3). 295–302.
10.
Tohno, Eriko, et al.. (2006). Detection of intraductal component around invasive breast cancer using ultrasound: Correlation with MRI and histopathological findings. Radiation Medicine. 24(2). 108–114. 10 indexed citations
11.
Tohno, Eriko, et al.. (2006). Establishment of seminars to improve the diagnostic accuracy and effectiveness of breast ultrasound. Journal of Medical Ultrasonics. 33(4). 239–244. 4 indexed citations
12.
Itoh, Ako, Ei Ueno, Eriko Tohno, et al.. (2006). Breast Disease: Clinical Application of US Elastography for Diagnosis. Radiology. 239(2). 341–350. 1263 indexed citations breakdown →
13.
Tohno, Eriko, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(1). 108–113. 3 indexed citations
14.
Shiina, Tsuyoshi, Naotaka Nitta, Ei Ueno, & Jeffrey C. Bamber. (2002). Real time tissue elasticity imaging using the combined autocorrelation method. Journal of Medical Ultrasonics. 29(3). 119–128. 150 indexed citations
15.
Yano, Yukiko, Ei Ueno, Hiroshi Kamma, et al.. (2001). Non-invasive lobular carcinoma within a fibroadenoma, a preoperatively diagnosed case. Breast Cancer. 8(1). 70–73. 5 indexed citations
16.
Hara, Hisato, et al.. (2000). Interventricular methotrexate therapy for carcinomatous meningitis due to breast cancer: a case with leukoencephalopathy. Breast Cancer. 7(3). 247–251. 2 indexed citations
17.
Tohno, Eriko, et al.. (1998). Examination of Effectiveness of Breast Cancer Detection by Modalities and Age Groups.. Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 7(3). 281–285. 5 indexed citations
18.
Takeda, Tohoru, Atsushi Momose, Ei Ueno, & Yuji Itai. (1998). Phase-contrast X-ray CT image of breast tumor. Journal of Synchrotron Radiation. 5(3). 1133–1135. 39 indexed citations
19.
Ueno, Ei, et al.. (1998). Physical Activity and The Risk of Breast Cancer : A Case-control Study of Japanese Women. Journal of Epidemiology. 8(2). 116–122. 43 indexed citations
20.
Harada, Shoji, et al.. (1992). Detection of GST1 gene deletion by the polymerase chain reaction and its possible correlation with stomach cancer in Japanese. Human Genetics. 90(1-2). 62–4. 97 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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