Shingo Sato

4.7k total citations · 1 hit paper
127 papers, 3.5k citations indexed

About

Shingo Sato is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Shingo Sato has authored 127 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 26 papers in Oncology and 24 papers in Surgery. Recurrent topics in Shingo Sato's work include Bone health and treatments (11 papers), Bone Metabolism and Diseases (11 papers) and Erythrocyte Function and Pathophysiology (8 papers). Shingo Sato is often cited by papers focused on Bone health and treatments (11 papers), Bone Metabolism and Diseases (11 papers) and Erythrocyte Function and Pathophysiology (8 papers). Shingo Sato collaborates with scholars based in Japan, United States and Canada. Shingo Sato's co-authors include Shu Takeda, Hiroki Ochi, Takashi Nakamura, Takahiro Μatsumoto, Satoko Sunamura, Atsushi Okawa, Andrée Krust, Yoshiaki Azuma, T.J. Martin and Shigeaki Kato and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shingo Sato

121 papers receiving 3.4k citations

Hit Papers

Estrogen Prevents Bone Loss via Estrogen Receptor α and I... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shingo Sato Japan 26 2.0k 751 593 444 370 127 3.5k
Fei Liu China 36 2.0k 1.0× 471 0.6× 538 0.9× 194 0.4× 507 1.4× 124 3.8k
Yihong Wan United States 31 2.8k 1.4× 842 1.1× 620 1.0× 171 0.4× 545 1.5× 73 4.3k
Xu Wu United States 39 3.1k 1.5× 587 0.8× 382 0.6× 428 1.0× 179 0.5× 78 5.5k
Suk‐Hee Lee United States 42 3.6k 1.8× 957 1.3× 655 1.1× 303 0.7× 533 1.4× 106 5.3k
Masato Maeda Japan 30 2.2k 1.1× 1.0k 1.4× 356 0.6× 231 0.5× 644 1.7× 134 4.6k
Kouichi Ozaki Japan 36 2.5k 1.2× 388 0.5× 904 1.5× 572 1.3× 386 1.0× 118 5.0k
Na Yang United States 20 2.5k 1.2× 782 1.0× 562 0.9× 125 0.3× 276 0.7× 39 4.7k
Paul Shapiro United States 34 3.3k 1.6× 942 1.3× 527 0.9× 79 0.2× 370 1.0× 80 5.4k
Xiaodong Li China 40 4.1k 2.0× 2.0k 2.7× 545 0.9× 405 0.9× 215 0.6× 190 6.8k

Countries citing papers authored by Shingo Sato

Since Specialization
Citations

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

Fields of papers citing papers by Shingo Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shingo Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Shingo Sato. A scholar is included among the top collaborators of Shingo 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 Shingo Sato. Shingo 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.
Yamamoto, Akira, Shingo Sato, Daiju Ueda, et al.. (2025). Deep-learning-based prediction of significant portal hypertension with single cross-sectional non-enhanced CT. European Radiology. 36(3). 1899–1908.
2.
Sato, Shingo, et al.. (2025). Successful resolution of ST-segment elevation by intracoronary nicorandil administration during perfusion balloon inflation. Cardiovascular Intervention and Therapeutics. 40(3). 701–702.
3.
Ito, Nobuaki, Kunikazu Tsuji, Shingo Sato, et al.. (2023). A PAI ‐1 antagonist ameliorates hypophosphatemia in the Hyp vitamin D‐resistant rickets model mouse. FEBS Open Bio. 14(2). 290–299. 1 indexed citations
4.
Onishi, Iichiroh, Sachiko Ishibashi, Masumi Ikeda, et al.. (2023). Indirect CRISPR screening with photoconversion revealed key factors of drug resistance with cell–cell interactions. Communications Biology. 6(1). 582–582. 2 indexed citations
5.
Yamada, Hironori, Hiroki Ochi, Satoko Sunamura, et al.. (2023). Three-dimensional visualization of neural networks inside bone by Osteo-DISCO protocol and alteration of bone remodeling by surgical nerve ablation. Scientific Reports. 13(1). 4674–4674. 7 indexed citations
6.
Arai, Makoto, Hiroki Ochi, Satoko Sunamura, et al.. (2023). A Novel Long Noncoding RNA in Osteocytes Regulates Bone Formation through the Wnt/β-Catenin Signaling Pathway. International Journal of Molecular Sciences. 24(17). 13633–13633. 4 indexed citations
7.
Takada, Ichiro, Shinya Hidano, Sayuri Takahashi, et al.. (2022). Transcriptional coregulator Ess2 controls survival of post-thymic CD4+ T cells through the Myc and IL-7 signaling pathways. Journal of Biological Chemistry. 298(9). 102342–102342. 10 indexed citations
9.
Kobayashi, Yutaka, Akira Takahashi, Masanori Saito, et al.. (2019). The long noncoding RNA Crnde regulates osteoblast proliferation through the Wnt/β-catenin signaling pathway in mice. Bone. 130. 115076–115076. 40 indexed citations
10.
Sato, Shingo, et al.. (2016). Basophil tryptase mMCP-11 plays a crucial role in IgE-mediated, delayed-onset allergic inflammation in mice. Blood. 128(25). 2909–2918. 22 indexed citations
11.
Kazama, Motoki, et al.. (2014). Seismic damage survey of large scale development housing sites in Sendai city due to The Great East Japan Earthquake. Japanese Geotechnical Journal. 9(2). 233–253. 3 indexed citations
12.
Sato, Shingo & Shu Takeda. (2014). [Regulation of bone metastasis by microRNAs].. PubMed. 24(8). 1209–15. 1 indexed citations
13.
Sato, Shingo, et al.. (2013). Targeting Stem Cell Behavior in Desmoid Tumors (Aggressive Fibromatosis) by Inhibiting Hedgehog Signaling. Neoplasia. 15(7). 712–719. 14 indexed citations
14.
Seo, Yasuhisa, et al.. (2013). A simple DNA coprecipitation method for the detection of diatoms in heart blood. Forensic Science International. 232(1-3). 154–159. 11 indexed citations
15.
Wei, Qingxia, Ilkyu Han, Shingo Sato, et al.. (2012). Hedgehog and Notch Signaling Regulate Self-Renewal of Undifferentiated Pleomorphic Sarcomas. Cancer Research. 72(4). 1013–1022. 39 indexed citations
16.
Kimura, Ayako, Shingo Sato, Hiroyuki Inose, et al.. (2012). Runx2 Haploinsufficiency Ameliorates the Development of Ossification of the Posterior Longitudinal Ligament. PLoS ONE. 7(8). e43372–e43372. 10 indexed citations
17.
Mochizuki, Yasuhiro, Takao Hamakubo, Kazushige Obata‐Ninomiya, et al.. (2011). Basophil-derived mouse mast cell protease 11 induces microvascular leakage and tissue edema in a mast cell-independent manner. Biochemical and Biophysical Research Communications. 415(4). 709–713. 7 indexed citations
18.
Matsumoto, Seiichi, Jun Manabe, Hiroshi Kuroda, et al.. (2009). Surgical margin for local recurrence of soft tissue sarcoma. Journal of Orthopaedic Science. 83(1). 22–27. 1 indexed citations
19.
Kurata, Shun‐ichi, Motonobu Osada, Tatsuya Watanabe, et al.. (2004). p51/p63 Controls Subunit α3 of the Major Epidermis Integrin Anchoring the Stem Cells to the Niche. Journal of Biological Chemistry. 279(48). 50069–50077. 55 indexed citations
20.
Kumazawa, Toshihiro, et al.. (2001). Synthesis of 8-C-glucosylflavones. Carbohydrate Research. 334(3). 183–193. 41 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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