Aiko Sueta

2.6k total citations
45 papers, 947 citations indexed

About

Aiko Sueta is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Aiko Sueta has authored 45 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 20 papers in Cancer Research and 18 papers in Molecular Biology. Recurrent topics in Aiko Sueta's work include Cancer Genomics and Diagnostics (9 papers), BRCA gene mutations in cancer (8 papers) and HER2/EGFR in Cancer Research (8 papers). Aiko Sueta is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), BRCA gene mutations in cancer (8 papers) and HER2/EGFR in Cancer Research (8 papers). Aiko Sueta collaborates with scholars based in Japan, United Kingdom and United States. Aiko Sueta's co-authors include Hirotaka Iwase, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, Takashi Takeshita, Mai Tomiguchi, Saori Fujiwara, Yoko Omoto, Mitsuhiro Hayashi, Keiichi Murakami and Satoko Yamamoto and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Aiko Sueta

45 papers receiving 939 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiko Sueta Japan 18 487 455 340 185 157 45 947
Mutsuko Yamamoto‐Ibusuki Japan 20 509 1.0× 553 1.2× 445 1.3× 250 1.4× 158 1.0× 45 1.1k
Peter Sabatini Canada 11 393 0.8× 408 0.9× 255 0.8× 231 1.2× 112 0.7× 31 961
Saori Fujiwara Japan 18 384 0.8× 492 1.1× 268 0.8× 122 0.7× 81 0.5× 34 845
Atsushi Shimomura Japan 21 595 1.2× 439 1.0× 513 1.5× 213 1.2× 88 0.6× 48 1.1k
Mari K. Halle Norway 19 222 0.5× 360 0.8× 246 0.7× 143 0.8× 109 0.7× 52 916
Per-Olof Malmström Sweden 6 323 0.7× 621 1.4× 501 1.5× 254 1.4× 145 0.9× 6 1.0k
Giovanni Allevi Italy 17 669 1.4× 437 1.0× 603 1.8× 136 0.7× 150 1.0× 36 1.2k
Ana Cristina Vargas Australia 17 472 1.0× 637 1.4× 376 1.1× 254 1.4× 71 0.5× 36 1.1k
Samira Majjaj Belgium 12 449 0.9× 498 1.1× 321 0.9× 145 0.8× 73 0.5× 24 902
Marie‐Paule Sablin France 18 354 0.7× 410 0.9× 499 1.5× 289 1.6× 63 0.4× 50 942

Countries citing papers authored by Aiko Sueta

Since Specialization
Citations

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

Fields of papers citing papers by Aiko Sueta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiko Sueta

This figure shows the co-authorship network connecting the top 25 collaborators of Aiko Sueta. A scholar is included among the top collaborators of Aiko Sueta 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 Aiko Sueta. Aiko Sueta 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.
Sueta, Daisuke, Masafumi Kidoh, Mai Tomiguchi, et al.. (2022). Cardiac Computed Tomography-Derived Myocardial Tissue Characterization After Anthracycline Treatment. ESC Heart Failure. 9(3). 1792–1800. 4 indexed citations
2.
Sueta, Aiko, et al.. (2022). A progressive and refractory case of breast cancer with Cowden syndrome. World Journal of Surgical Oncology. 20(1). 279–279. 1 indexed citations
3.
4.
Sueta, Aiko, Yutaka Yamamoto, & Hirotaka Iwase. (2019). The role of exosomal microRNAs; focus on clinical applications in breast cancer. Cancer Drug Resistance. 2(3). 847–861. 8 indexed citations
5.
Suyama, Koichi, Mai Tomiguchi, Takashi Takeshita, et al.. (2018). Factors involved in early lenvatinib dose reduction: a retrospective analysis. Medical Oncology. 35(3). 19–19. 8 indexed citations
6.
Takeshita, Takashi, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, et al.. (2017). Comparison of ESR1 Mutations in Tumor Tissue and Matched Plasma Samples from Metastatic Breast Cancer Patients. Translational Oncology. 10(5). 766–771. 31 indexed citations
7.
Takeshita, Takashi, Mai Tomiguchi, Aiko Sueta, et al.. (2017). Incidence and clinical relevance of ESR1 mutations in estrogen receptor positive breast cancer patients. Annals of Oncology. 28. ix51–ix51. 1 indexed citations
8.
Suyama, Koichi, Saori Fujiwara, Takashi Takeshita, et al.. (2017). Clinical features of lenvatinib treatment in elderly patients with advanced thyroid cancer. Molecular and Clinical Oncology. 7(1). 24–26. 7 indexed citations
9.
Takeshita, Takashi, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, et al.. (2017). Prevalence of ESR1 E380Q mutation in tumor tissue and plasma from Japanese breast cancer patients. BMC Cancer. 17(1). 786–786. 15 indexed citations
10.
Sueta, Aiko, Mitsuhiro Hayashi, Hirokazu Shimizu, et al.. (2016). Successful ethinylestradiol therapy for a metastatic breast cancer patient with heavily pre-treated with endocrine therapies. International Cancer Conference Journal. 5(3). 126–130. 4 indexed citations
11.
Takeshita, Takashi, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, et al.. (2016). Clinical significance of monitoring ESR1 mutations in circulating cell-free DNA in estrogen receptor positive breast cancer patients. Oncotarget. 7(22). 32504–32518. 47 indexed citations
12.
Takeshita, Takashi, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, et al.. (2015). Droplet digital polymerase chain reaction assay for screening of ESR1 mutations in 325 breast cancer specimens. Translational research. 166(6). 540–553.e2. 52 indexed citations
13.
Hayashi, Mitsuhiro, Yutaka Yamamoto, Aiko Sueta, et al.. (2015). Associations Between Elastography Findings and Clinicopathological Factors in Breast Cancer. Medicine. 94(50). e2290–e2290. 16 indexed citations
14.
Imamura, Takahisa, Mutsuko Yamamoto‐Ibusuki, Aiko Sueta, et al.. (2015). Influence of the C5a–C5a receptor system on breast cancer progression and patient prognosis. Breast Cancer. 23(6). 876–885. 52 indexed citations
15.
Yamamoto‐Ibusuki, Mutsuko, Yutaka Yamamoto, Saori Fujiwara, et al.. (2014). C6ORF97-ESR1 breast cancer susceptibility locus: influence on progression and survival in breast cancer patients. European Journal of Human Genetics. 23(7). 949–956. 23 indexed citations
16.
Sueta, Aiko, Yutaka Yamamoto, Mitsuhiro Hayashi, et al.. (2014). Clinical significance of pretherapeutic Ki67 as a predictive parameter for response to neoadjuvant chemotherapy in breast cancer; is it equally useful across tumor subtypes?. Surgery. 155(5). 927–935. 45 indexed citations
17.
Sueta, Aiko, Hidemi Ito, Tania Islam, et al.. (2012). Differential impact of body mass index and its change on the risk of breast cancer by molecular subtype: A case-control study in Japanese women. SpringerPlus. 1(1). 39–39. 12 indexed citations
18.
19.
Fujita, Takashi, Hironori Hayashi, Masaya Hattori, et al.. (2011). High recurrence risk and use of adjuvant trastuzumab in patients with small, HER2-positive, node-negative breast cancers. International Journal of Clinical Oncology. 17(2). 131–136. 14 indexed citations
20.
Sueta, Aiko, Hidemi Ito, Takakazu Kawase, et al.. (2011). A genetic risk predictor for breast cancer using a combination of low-penetrance polymorphisms in a Japanese population. Breast Cancer Research and Treatment. 132(2). 711–721. 75 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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