Takayoshi Uematsu

4.7k total citations
213 papers, 3.5k citations indexed

About

Takayoshi Uematsu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Organic Chemistry. According to data from OpenAlex, Takayoshi Uematsu has authored 213 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 51 papers in Pathology and Forensic Medicine and 40 papers in Organic Chemistry. Recurrent topics in Takayoshi Uematsu's work include Breast Lesions and Carcinomas (48 papers), MRI in cancer diagnosis (40 papers) and Breast Cancer Treatment Studies (34 papers). Takayoshi Uematsu is often cited by papers focused on Breast Lesions and Carcinomas (48 papers), MRI in cancer diagnosis (40 papers) and Breast Cancer Treatment Studies (34 papers). Takayoshi Uematsu collaborates with scholars based in Japan, United States and Switzerland. Takayoshi Uematsu's co-authors include Masako Kasami, Sachiko Yuen, Nobuyuki Ichikuni, Shogo Shimazu, Robert J. Suhadolnik, Junichiro Watanabe, Yoshihiro Uchida, Di Li, Keiichi Homma and Muneaki Sano and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Takayoshi Uematsu

201 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayoshi Uematsu Japan 31 1.4k 885 871 540 507 213 3.5k
Katherine A. Vallis United Kingdom 40 1.8k 1.3× 864 1.0× 252 0.3× 230 0.4× 1.4k 2.8× 154 4.6k
Rajamanickam Baskar Singapore 17 787 0.6× 376 0.4× 156 0.2× 225 0.4× 578 1.1× 28 3.4k
Tatjana Paunesku United States 31 636 0.5× 205 0.2× 105 0.1× 1.0k 1.9× 240 0.5× 115 3.8k
Hidetaka Uramoto Japan 38 523 0.4× 1.1k 1.2× 312 0.4× 220 0.4× 2.4k 4.7× 323 6.3k
Sandip Sengupta United States 25 134 0.1× 745 0.8× 381 0.4× 103 0.2× 493 1.0× 110 2.3k
Xilin Sun China 29 824 0.6× 304 0.3× 48 0.1× 484 0.9× 336 0.7× 80 2.3k
Carsten Herskind Germany 31 985 0.7× 708 0.8× 195 0.2× 119 0.2× 663 1.3× 123 3.1k
Takahito Nakajima Japan 31 605 0.4× 186 0.2× 75 0.1× 371 0.7× 379 0.7× 132 2.7k
Fang‐Ming Chen Taiwan 29 170 0.1× 372 0.4× 222 0.3× 160 0.3× 621 1.2× 170 2.7k
Bhuvaneswari Ramaswamy United States 36 205 0.2× 1.3k 1.4× 248 0.3× 397 0.7× 1.5k 3.1× 161 4.9k

Countries citing papers authored by Takayoshi Uematsu

Since Specialization
Citations

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

Fields of papers citing papers by Takayoshi Uematsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayoshi Uematsu

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Uematsu. A scholar is included among the top collaborators of Takayoshi Uematsu 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 Takayoshi Uematsu. Takayoshi Uematsu 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.
Uematsu, Takayoshi, et al.. (2025). Breast Cancer Screening in Asian Countries: Epidemiology, Screening Practices, Outcomes, Challenges, and Future Directions. Korean Journal of Radiology. 26(8). 743–743.
2.
Uematsu, Takayoshi, Kazuaki Nakashima, Takashi Sugino, et al.. (2025). Encapsulated papillary carcinoma with invasion in the breast: A case report with imaging findings. Radiology Case Reports. 21(1). 314–319.
3.
Uematsu, Takayoshi, Kazuaki Nakashima, Takashi Sugino, et al.. (2024). Non-contrast-enhanced breast MRI for evaluation of tumor volume change after neoadjuvant chemotherapy. European Journal of Radiology. 177. 111555–111555. 1 indexed citations
5.
Uematsu, Takayoshi. (2023). Non-mass lesions on breast ultrasound: why does not the ACR BI-RADS breast ultrasound lexicon add the terminology?. Journal of Medical Ultrasonics. 50(3). 341–346. 10 indexed citations
7.
Uematsu, Takayoshi, Kazuaki Nakashima, Takanori Kawabata, et al.. (2021). Evaluation of Breast Edema Findings at T2-weighted Breast MRI Is Useful for Diagnosing Occult Inflammatory Breast Cancer and Can Predict Prognosis after Neoadjuvant Chemotherapy. Radiology. 299(1). 53–62. 37 indexed citations
8.
Yamaguchi, Takeshi, et al.. (2020). A deep learning-based automated diagnostic system for classifying mammographic lesions. Medicine. 99(27). e20977–e20977. 8 indexed citations
9.
Nakashima, Kazuaki, Takayoshi Uematsu, Takashi Sugino, et al.. (2018). T2-hypointense rim of breast mass lesions on magnetic resonance images: Radiologic-pathologic correlation. The Breast Journal. 24(6). 944–950. 2 indexed citations
10.
Uematsu, Takayoshi. (2010). MR imaging of triple-negative breast cancer. Breast Cancer. 18(3). 161–164. 19 indexed citations
11.
Uematsu, Takayoshi, Masako Kasami, & Sachiko Yuen. (2009). Triple-Negative Breast Cancer: Correlation between MR Imaging and Pathologic Findings. Radiology. 250(3). 638–647. 279 indexed citations
12.
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
13.
Tanaka, Kumiko, et al.. (2008). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 17(3). 194–199.
14.
Yamada, Takayuki, Tadashi Ishibashi, Koji Ohnuki, et al.. (2008). Questionnaires for Screening Digital Mammography in Japan : Part 2. 17(3). 230–242. 3 indexed citations
15.
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
16.
Shimazu, Shogo, et al.. (2005). New development of inorganic ion exchanger: Acidic Property of Fe(III)-Taeniolite. Journal of Ion Exchange. 16(1). 60–64. 1 indexed citations
17.
Sakai∞, Kunio, Emiko Tsuchida, Yasuo Matsumoto, et al.. (2001). LONG-TERM RESULTS OF CONCURRENT CHEMORADIOTHERAPY USING LOW-DOSE CONTINUOUS INFUSION OF 5-FLUOROURACIL FOR STAGE II-III ESOPHAGEAL CANCER. 13(2). 97–101. 5 indexed citations
18.
Uematsu, Takayoshi, S Kobayashi, Kōji Shimizu, et al.. (1997). [Helical CT of the breast: detection of intraductal spread and multicentricity of breast cancer].. PubMed. 57(3). 85–8. 7 indexed citations
19.
Sato, Kota, Akihiko Uchiyama, Takayoshi Uematsu, et al.. (1990). Special articles on new aspects of silicon chemistry. The electronic state at excited states and the plasma chemical reactivity of vinylsilane.. NIPPON KAGAKU KAISHI. 531–535. 4 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