Ai Sato

3.3k total citations
163 papers, 2.3k citations indexed

About

Ai Sato is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Ai Sato has authored 163 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 34 papers in Surgery and 33 papers in Molecular Biology. Recurrent topics in Ai Sato's work include Pancreatic and Hepatic Oncology Research (21 papers), Pancreatitis Pathology and Treatment (12 papers) and Neuroendocrine Tumor Research Advances (11 papers). Ai Sato is often cited by papers focused on Pancreatic and Hepatic Oncology Research (21 papers), Pancreatitis Pathology and Treatment (12 papers) and Neuroendocrine Tumor Research Advances (11 papers). Ai Sato collaborates with scholars based in Japan, United States and Spain. Ai Sato's co-authors include Michio Komai, Hitoshi Shirakawa, Yusuke Ohsaki, Atsushi Irisawa, Shuhei Tomita, Hiromasa Ohira, Tomoko Gotō, Goro Shibukawa, Puspo Edi Giriwono and Tadayuki Takagi and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Ai Sato

154 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Sato Japan 25 554 535 469 303 248 163 2.3k
Tomoko Mitsuhashi Japan 25 450 0.8× 569 1.1× 494 1.1× 471 1.6× 274 1.1× 130 3.1k
Sergio Castorina Italy 28 877 1.6× 387 0.7× 433 0.9× 420 1.4× 207 0.8× 142 2.6k
Liang Dong China 30 972 1.8× 391 0.7× 327 0.7× 297 1.0× 237 1.0× 112 2.7k
Antonio Mancini Italy 29 788 1.4× 297 0.6× 500 1.1× 181 0.6× 238 1.0× 154 3.0k
George Agrogiannis Greece 28 570 1.0× 246 0.5× 752 1.6× 215 0.7× 205 0.8× 133 2.5k
Nikolaos Kostomitsopoulos Greece 25 597 1.1× 327 0.6× 362 0.8× 202 0.7× 189 0.8× 134 2.1k
Keiko Maeda Japan 29 746 1.3× 319 0.6× 653 1.4× 449 1.5× 306 1.2× 114 3.5k
Nicoletta Gagliano Italy 31 1.2k 2.1× 412 0.8× 365 0.8× 463 1.5× 216 0.9× 115 3.2k
Mingyuan Wu China 30 977 1.8× 442 0.8× 462 1.0× 199 0.7× 411 1.7× 107 3.8k
Pasquale Sperlongano Italy 23 662 1.2× 442 0.8× 298 0.6× 258 0.9× 352 1.4× 44 2.0k

Countries citing papers authored by Ai Sato

Since Specialization
Citations

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

Fields of papers citing papers by Ai Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Sato. A scholar is included among the top collaborators of Ai Sato 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 Ai Sato. Ai Sato 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.
Takagi, Kiyoshi, Ai Sato, M. Yamaguchi, et al.. (2025). Discoidin Domain Receptor 2 (DDR2) Promotes Prostate Cancer Progression in Cooperation with Collagen Remodeling. ACTA HISTOCHEMICA ET CYTOCHEMICA. 58(4). 143–152.
2.
3.
Sato, Ai, Kiyoshi Takagi, Makoto Yoshida, et al.. (2024). Discoidin Domain Receptor 2 Contributes to Breast Cancer Progression and Chemoresistance by Interacting with Collagen Type I. Cancers. 16(24). 4285–4285. 1 indexed citations
4.
Yamaguchi, M., Kiyoshi Takagi, Ai Sato, et al.. (2024). Regulation of Stromal Cells by Sex Steroid Hormones in the Breast Cancer Microenvironment. Cancers. 16(23). 4043–4043.
5.
Takagi, Kiyoshi, M. Yamaguchi, Ai Sato, et al.. (2024). Receptor for Hyaluronan Mediated Motility (RHAMM)/Hyaluronan Axis in Breast Cancer Chemoresistance. Cancers. 16(21). 3600–3600. 4 indexed citations
6.
Yamaguchi, M., Kiyoshi Takagi, Yasuhiro Miki, et al.. (2023). The Pro-Tumorigenic Role of Chemotherapy-Induced Extracellular HSP70 from Breast Cancer Cells via Intratumoral Macrophages. Cancers. 15(6). 1903–1903. 11 indexed citations
7.
Sato, Ai, Kiyoshi Takagi, M. Yamaguchi, et al.. (2023). Kallikrein-Related Peptidase 12 (KLK12) in Breast Cancer as a Favorable Prognostic Marker. International Journal of Molecular Sciences. 24(9). 8419–8419. 7 indexed citations
8.
Minemura, Hiroyuki, Kiyoshi Takagi, Ai Sato, et al.. (2021). Isoforms of IDH in breast carcinoma: IDH2 as a potent prognostic factor associated with proliferation in estrogen-receptor positive cases. Breast Cancer. 28(4). 915–926. 11 indexed citations
9.
Yamazaki, Masanori, et al.. (2021). Changes in serum uric acid levels as a predictor of future decline in renal function in older adults with type 2 diabetes. Medicine. 100(40). e27420–e27420. 6 indexed citations
10.
Goto, Yukinobu, Yuji Hiramatsu, Naohide Ageyama, et al.. (2018). Rolipram plus Sivelestat inhibits bone marrow-derived leukocytic lung recruitment after cardiopulmonary bypass in a primate model. Journal of Artificial Organs. 22(1). 44–52. 8 indexed citations
11.
Yuan, Bo, Mingjiang Yao, Xiao Wang, et al.. (2018). Antitumor activity of arsenite in combination with tetrandrine against human breast cancer cell line MDA-MB-231 in vitro and in vivo. Cancer Cell International. 18(1). 113–113. 30 indexed citations
12.
Takagi, Kiyoshi, Hiroyoshi Suzuki, Ai Sato, et al.. (2018). OLFM4, LY6D and S100A7 as potent markers for distant metastasis in estrogen receptor‐positive breast carcinoma. Cancer Science. 109(10). 3350–3359. 38 indexed citations
13.
Takagi, Kiyoshi, Ai Sato, Yasuhiro Miki, et al.. (2017). Cytochrome c1 in ductal carcinoma in situ of breast associated with proliferation and comedo necrosis. Cancer Science. 108(7). 1510–1519. 12 indexed citations
14.
Sato, Ai, Atsushi Irisawa, Goro Shibukawa, et al.. (2017). Early Gastric Cancer Associated with a Gastric Lipoma. ACG Case Reports Journal. 4(1). e78–e78. 4 indexed citations
15.
Amaki, Jun, Makoto Onizuka, Ken Ohmachi, et al.. (2015). Single nucleotide polymorphisms of cytarabine metabolic genes influence clinical outcome in acute myeloid leukemia patients receiving high-dose cytarabine therapy. International Journal of Hematology. 101(6). 543–553. 16 indexed citations
16.
Kurita, Naoki, Naoshi Obara, Hidekazu Nishikii, et al.. (2013). Perisurgical induction of eculizumab in a patient with paroxysmal nocturnal hemoglobinuria. Blood Coagulation & Fibrinolysis. 24(6). 658–662. 3 indexed citations
17.
Irisawa, Atsushi, Ai Sato, Masaki Satō, et al.. (2009). EARLY DIAGNOSIS OF SMALL PANCREATIC CANCER: ROLE OF ENDOSCOPIC ULTRASONOGRAPHY. Digestive Endoscopy. 21(s1). S92–6. 10 indexed citations
18.
Irisawa, Atsushi, Takuto Hikichi, Goro Shibukawa, et al.. (2009). Pancreatobiliary drainage using the EUS-FNA technique: EUS-BD and EUS-PD. Journal of Hepato-Biliary-Pancreatic Surgery. 16(5). 598–604. 17 indexed citations
19.
Sato, Ai, Hitoshi Shirakawa, Shuhei Tomita, et al.. (2008). Low-dose dioxins alter gene expression related to cholesterol biosynthesis, lipogenesis, and glucose metabolism through the aryl hydrocarbon receptor-mediated pathway in mouse liver. Toxicology and Applied Pharmacology. 229(1). 10–19. 118 indexed citations
20.
Sato, Ai. (1960). Synthesis of Potassium Ethylxanthate-355 and Sodium N-methyldithiocarbamate-35S.. Nippon kagaku zassi. 81(8). 1338–1341. 1 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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