Hiroko Tsunoda

1.3k total citations
100 papers, 808 citations indexed

About

Hiroko Tsunoda is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Hiroko Tsunoda has authored 100 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Pathology and Forensic Medicine, 35 papers in Radiology, Nuclear Medicine and Imaging and 32 papers in Cancer Research. Recurrent topics in Hiroko Tsunoda's work include Breast Lesions and Carcinomas (46 papers), Breast Cancer Treatment Studies (32 papers) and AI in cancer detection (24 papers). Hiroko Tsunoda is often cited by papers focused on Breast Lesions and Carcinomas (46 papers), Breast Cancer Treatment Studies (32 papers) and AI in cancer detection (24 papers). Hiroko Tsunoda collaborates with scholars based in Japan, United States and South Korea. Hiroko Tsunoda's co-authors include Hideko Yamauchi, Yasuyuki Kojima, Koyu Suzuki, Seigo Nakamura, Naoki Hayashi, Atsushi Yoshida, Hiroshi Yagata, Eriko Tohno, Ei Ueno and Mari Kikuchi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hiroko Tsunoda

87 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hiroko Tsunoda Japan 15 336 327 316 204 147 100 808
Selin Çarkaci United States 16 296 0.9× 358 1.1× 343 1.1× 240 1.2× 89 0.6× 37 914
Paula B. Gordon Canada 15 440 1.3× 254 0.8× 317 1.0× 358 1.8× 216 1.5× 39 944
Susan Koelliker United States 10 499 1.5× 337 1.0× 416 1.3× 164 0.8× 238 1.6× 13 1.1k
Antuono Latronico Italy 14 193 0.6× 219 0.7× 231 0.7× 125 0.6× 146 1.0× 42 577
Yung‐Feng Lo Taiwan 15 288 0.9× 361 1.1× 317 1.0× 201 1.0× 145 1.0× 46 819
Donna Taylor Australia 15 239 0.7× 302 0.9× 263 0.8× 160 0.8× 93 0.6× 75 797
Daniel E. Lehrer United States 5 499 1.5× 295 0.9× 351 1.1× 149 0.7× 251 1.7× 6 792
Ralph Wynn United States 16 484 1.4× 517 1.6× 404 1.3× 199 1.0× 394 2.7× 28 1.1k
Stefanie Weigel Germany 16 240 0.7× 438 1.3× 273 0.9× 388 1.9× 227 1.5× 52 985
L.J. Yeoman United Kingdom 14 278 0.8× 183 0.6× 234 0.7× 186 0.9× 181 1.2× 24 646

Countries citing papers authored by Hiroko Tsunoda

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Tsunoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Tsunoda

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Tsunoda. A scholar is included among the top collaborators of Hiroko Tsunoda 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 Hiroko Tsunoda. Hiroko Tsunoda 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.
Tsunoda, Hiroko & Woo Kyung Moon. (2024). Beyond BI-RADS: Nonmass Abnormalities on Breast Ultrasound. Korean Journal of Radiology. 25(2). 134–134. 13 indexed citations
2.
Kanomata, Naoki, et al.. (2023). Clinicopathological and ultrasound characteristics of breast cancer in BRCA1 and BRCA2 mutation carriers. Journal of Medical Ultrasonics. 50(2). 213–220. 1 indexed citations
3.
Yamaguchi, Takeshi, et al.. (2020). A deep learning-based automated diagnostic system for classifying mammographic lesions. Medicine. 99(27). e20977–e20977. 8 indexed citations
4.
Tsunoda, Hiroko, Hiroshi Yagata, Naoki Hayashi, et al.. (2017). Discrepancies Between Pathological Tumor Responses and Estimations of Complete Response by Magnetic Resonance Imaging After Neoadjuvant Chemotherapy Differ by Breast Cancer Subtype. Clinical Breast Cancer. 18(2). 128–134. 16 indexed citations
5.
Kitano, Atsuko, Hideko Yamauchi, Takashi Hosaka, et al.. (2015). Psychological impact of breast cancer screening in Japan. International Journal of Clinical Oncology. 20(6). 1110–1116. 13 indexed citations
6.
Kawasaki, Tomonori, Kunio Mochizuki, Hideko Yamauchi, et al.. (2012). Neuroendocrine cells associated with neuroendocrine carcinoma of the breast: nature and significance. Journal of Clinical Pathology. 65(8). 699–703. 12 indexed citations
7.
Nakamura, Naoki, Hiroko Tsunoda, Osamu Takahashi, et al.. (2012). Frequency and Clinical Significance of Previously Undetected Incidental Findings Detected on Computed Tomography Simulation Scans for Breast Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 84(3). 602–605. 10 indexed citations
8.
Tsunoda, Hiroko, et al.. (2011). Ultrasonographic evaluation of multiple cystic lesions in breast sonography. Choonpa Igaku. 38(4). 455–460. 3 indexed citations
9.
Mori, Miki, et al.. (2010). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 19(1). 67–70. 1 indexed citations
10.
Kojima, Yasuyuki & Hiroko Tsunoda. (2010). Mammography and ultrasound features of triple-negative breast cancer. Breast Cancer. 18(3). 146–151. 75 indexed citations
11.
Tsunoda, Hiroko, et al.. (2009). Influence of menstrual cycle on parenchymal strain in ultrasound elastography of the breast. Choonpa Igaku. 36(2). 201–204. 1 indexed citations
12.
Endo, Tokiko, Takuji Iwase, Koji Ohnuki, et al.. (2007). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 16(2). 190–202.
13.
Endo, Tokiko, Koji Ohnuki, Eriko Tohno, et al.. (2006). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 15(3). 268–283. 2 indexed citations
14.
Endo, Tokiko, Koji Ohnuki, Hiroshi Nagai, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(1). 30–37. 1 indexed citations
15.
Tohno, Eriko, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(1). 108–113. 3 indexed citations
16.
Endo, Tokiko, Koji Ohnuki, Hiroshi Nagai, et al.. (2003). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 12(2). 185–192. 1 indexed citations
17.
Endo, Tokiko, Koji Ohnuki, Hiroshi Nagai, et al.. (2002). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 11(2). 199–212. 2 indexed citations
18.
Endo, Tokiko, Koji Ohnuki, Hiroshi Nagai, et al.. (2002). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 11(1). 72–80. 2 indexed citations
19.
Endo, Tokiko, Hiroshi Nagai, Eriko Tohno, et al.. (2001). Quality Assurance of Mammogram Training Courses via Questionnaire : Third Report. Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 10(3). 225–230. 2 indexed citations
20.
Matsuda, Mitsuhiro, et al.. (1996). Pseudomyxoma Peritonei Appearing as Inguinal Hernia.. The Japanese Journal of Gastroenterological Surgery. 29(1). 99–103. 2 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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