Carlos Shimizu

752 total citations
50 papers, 513 citations indexed

About

Carlos Shimizu is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Carlos Shimizu has authored 50 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 13 papers in Pathology and Forensic Medicine and 12 papers in Oncology. Recurrent topics in Carlos Shimizu's work include Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (11 papers) and AI in cancer detection (7 papers). Carlos Shimizu is often cited by papers focused on Breast Cancer Treatment Studies (15 papers), Breast Lesions and Carcinomas (11 papers) and AI in cancer detection (7 papers). Carlos Shimizu collaborates with scholars based in Japan, Brazil and United States. Carlos Shimizu's co-authors include Yasuhiro Fujiwara, Kan Yonemori, Kenji Tamura, Masashi Ando, Noriyuki Katsumata, T. Kouno, Akihiro Hirakawa, George Foster, Hitoshi Tsuda and Nestor de Barros and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Carlos Shimizu

45 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlos Shimizu Japan 12 207 179 111 101 97 50 513
Yoshiaki Sagara Japan 14 221 1.1× 356 2.0× 97 0.9× 140 1.4× 122 1.3× 31 639
Nirmala Pathmanathan Australia 14 273 1.3× 245 1.4× 152 1.4× 95 0.9× 126 1.3× 40 553
Wojciech Olszewski Poland 9 259 1.3× 247 1.4× 105 0.9× 36 0.4× 124 1.3× 32 503
Bianca Lederer Germany 13 348 1.7× 415 2.3× 147 1.3× 64 0.6× 120 1.2× 39 646
Lisette Stork‐Sloots United States 13 451 2.2× 399 2.2× 159 1.4× 64 0.6× 148 1.5× 49 633
Eoghan Ruadh Malone Canada 5 303 1.5× 203 1.1× 80 0.7× 55 0.5× 265 2.7× 20 605
R. Kokko Finland 12 410 2.0× 650 3.6× 107 1.0× 247 2.4× 66 0.7× 22 836
Yen Lin Chia United States 12 70 0.3× 190 1.1× 46 0.4× 124 1.2× 73 0.8× 32 542
Isabelle Desmoulins France 15 271 1.3× 361 2.0× 50 0.5× 191 1.9× 84 0.9× 75 624
S Badve United States 7 348 1.7× 338 1.9× 176 1.6× 50 0.5× 185 1.9× 21 620

Countries citing papers authored by Carlos Shimizu

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Shimizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Shimizu

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Shimizu. A scholar is included among the top collaborators of Carlos Shimizu 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 Carlos Shimizu. Carlos Shimizu 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.
Torres, Ulysses S., et al.. (2025). Advancements in Detection and Management of Ductal Carcinoma in Situ. Radiographics. 45(9). e240174–e240174.
4.
Mota, Bruna Salani, Nestor de Barros, Rosa Maria Salani Mota, et al.. (2023). Effects of preoperative magnetic resonance image on survival rates and surgical planning in breast cancer conservative surgery: randomized controlled trial (BREAST-MRI trial). Breast Cancer Research and Treatment. 198(3). 447–461. 13 indexed citations
5.
Shimizu, Carlos, et al.. (2021). Abstract 183: End-to-end training of convolutional network for breast cancer detection in two-view mammography. Cancer Research. 81(13_Supplement). 183–183. 1 indexed citations
6.
Shimizu, Carlos, et al.. (2021). Core needle biopsy in fibroepithelial tumors: predicting factors for phyllodes tumors. Clinics. 76. e2806–e2806. 3 indexed citations
7.
Torres, Ulysses S., et al.. (2021). MRI as a complementary tool for the assessment of suspicious mammographic calcifications: Does it have a role?. Clinical Imaging. 74. 76–83. 6 indexed citations
8.
Torres, Ulysses S., et al.. (2020). Imaging of male breast disease: the good, the bad and the ugly – A pictorial review. Clinical Imaging. 68. 45–56. 3 indexed citations
9.
Shimizu, Carlos, et al.. (2019). Breast fibroadenoma in transgender woman. The Breast Journal. 26(2). 293–294. 7 indexed citations
10.
Mota, Bruna Salani, Maíra Teixeira Dória, Marcos Desídérío Ricci, et al.. (2019). Brazilian randomized study: Impact of preoperative magnetic resonance in the evaluation for breast cancer conservative surgery (BREAST-MRI Trial). Annals of Oncology. 30. iii39–iii40. 3 indexed citations
11.
Shimizu, Carlos, et al.. (2017). Axillary Lymph Node Sonographic Features and Breast Tumor Characteristics as Predictors of Malignancy: A Nomogram to Predict Risk. Ultrasound in Medicine & Biology. 43(9). 1837–1845. 32 indexed citations
12.
Okuma, Hidemi, Fumiaki Koizumi, Akihiro Hirakawa, et al.. (2016). Clinical and microarray analysis of breast cancers of all subtypes from two prospective preoperative chemotherapy studies. British Journal of Cancer. 115(4). 411–419. 8 indexed citations
13.
Hashimoto, Kenji, Hitoshi Tsuda, Fumiaki Koizumi, et al.. (2014). Activated PI3K/AKT and MAPK pathways are potential good prognostic markers in node-positive, triple-negative breast cancer. Annals of Oncology. 25(10). 1973–1979. 51 indexed citations
14.
Hirata, T., Kan Yonemori, Akihiro Hirakawa, et al.. (2011). Efficacy of pleurodesis for malignant pleural effusions in breast cancer patients. European Respiratory Journal. 38(6). 1425–1430. 18 indexed citations
15.
Tanioka, Maki, Carlos Shimizu, Kan Yonemori, et al.. (2010). Predictors of recurrence in breast cancer patients with a pathologic complete response after neoadjuvant chemotherapy. British Journal of Cancer. 103(3). 297–302. 44 indexed citations
16.
Shimizu, Carlos, Kan Yonemori, Akihiro Hirakawa, et al.. (2009). Change in the hormone receptor status following administration of neoadjuvant chemotherapy and its impact on the long-term outcome in patients with primary breast cancer. British Journal of Cancer. 101(9). 1529–1536. 83 indexed citations
17.
Ono, Makiko, Takuji Watanabe, Carlos Shimizu, et al.. (2008). Therapy-Related Acute Promyelocytic Leukemia Caused by Hormonal Therapy and Radiation in a Patient with Recurrent Breast Cancer. Japanese Journal of Clinical Oncology. 38(8). 567–570. 8 indexed citations
19.
Fukutomi, Takashi, Sadako Akashi‐Tanaka, Takeshi Nanasawa, Keitaro Matsuo, & Carlos Shimizu. (2001). Multicentricity and histopathological background features of familial breast cancers stratified by menopausal status. International Journal of Clinical Oncology. 6(2). 80–83. 4 indexed citations
20.
Inoue, Masaki, Toshiyuki Sasagawa, Carlos Shimizu, et al.. (1988). [Altered expression of Lewis antigens associated with malignant transformation in endometrial tissues].. PubMed. 40(9). 1425–31. 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.

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