Tatsuhiro Sato

2.4k total citations
51 papers, 1.9k citations indexed

About

Tatsuhiro Sato is a scholar working on Molecular Biology, Industrial and Manufacturing Engineering and Cell Biology. According to data from OpenAlex, Tatsuhiro Sato has authored 51 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 11 papers in Industrial and Manufacturing Engineering and 8 papers in Cell Biology. Recurrent topics in Tatsuhiro Sato's work include PI3K/AKT/mTOR signaling in cancer (9 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Occupational and environmental lung diseases (6 papers). Tatsuhiro Sato is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (9 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Occupational and environmental lung diseases (6 papers). Tatsuhiro Sato collaborates with scholars based in Japan, United States and United Kingdom. Tatsuhiro Sato's co-authors include Fuyuhiko Tamanoi, Akio Nakashima, Lea Guo, Yoshimi Takai, Yoshitaka Sekido, Kenji Irie, Takako Ooshio, Akio Yamada, Ryoko Okamoto and Naoyuki Fujita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Tatsuhiro Sato

48 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuhiro Sato Japan 22 1.3k 376 171 170 148 51 1.9k
Yi Sheng China 18 1.0k 0.8× 239 0.6× 164 1.0× 80 0.5× 109 0.7× 52 1.7k
Shao H. Yang United States 27 2.2k 1.7× 305 0.8× 59 0.3× 137 0.8× 67 0.5× 47 2.5k
Sebastian Diecke Germany 30 2.6k 2.0× 147 0.4× 56 0.3× 32 0.2× 141 1.0× 68 3.7k
Lihua Zou United States 19 1.2k 0.9× 193 0.5× 38 0.2× 26 0.2× 335 2.3× 41 1.8k
Honglai Zhang China 22 1.8k 1.4× 296 0.8× 94 0.5× 28 0.2× 477 3.2× 47 2.8k
Rhonda Grebe United States 30 1.2k 0.9× 147 0.4× 25 0.1× 79 0.5× 52 0.4× 54 2.4k
Jaemin Jeong South Korea 20 800 0.6× 96 0.3× 46 0.3× 34 0.2× 126 0.9× 59 1.7k
Wei Du China 22 1.0k 0.8× 189 0.5× 23 0.1× 39 0.2× 209 1.4× 71 1.8k
Samuel A. Myers United States 20 1.6k 1.3× 375 1.0× 29 0.2× 28 0.2× 91 0.6× 40 2.1k
Hee Won Yang United States 23 1.0k 0.8× 513 1.4× 14 0.1× 75 0.4× 165 1.1× 39 1.9k

Countries citing papers authored by Tatsuhiro Sato

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuhiro Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuhiro Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuhiro Sato. A scholar is included among the top collaborators of Tatsuhiro 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 Tatsuhiro Sato. Tatsuhiro 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.
Sato, Tatsuhiro, et al.. (2024). TEAD-Independent Cell Growth of Hippo-Inactive Mesothelioma Cells: Unveiling Resistance to TEAD Inhibitor K-975 through MYC Signaling Activation. Molecular Cancer Therapeutics. 24(5). 709–719. 5 indexed citations
2.
Sekido, Yoshitaka & Tatsuhiro Sato. (2023). NF2 alteration in mesothelioma. SHILAP Revista de lepidopterología. 5. 1161995–1161995. 17 indexed citations
3.
Sato, Tatsuhiro, et al.. (2023). Aberrant expression of NPPB through YAP1 and TAZ activation in mesothelioma with Hippo pathway gene alterations. Cancer Medicine. 12(12). 13586–13598. 3 indexed citations
4.
Suzuki, Koya, Ryota Yamagishi, Hiroyuki Hanada, et al.. (2022). SMG6 regulates DNA damage and cell survival in Hippo pathway kinase LATS2-inactivated malignant mesothelioma. Cell Death Discovery. 8(1). 446–446. 7 indexed citations
5.
Sato, Tatsuhiro, Haruna Ikeda, Emi Mishiro‐Sato, et al.. (2021). Silencing of SmgGDS, a Novel mTORC1 Inducer That Binds to RHEBs, Inhibits Malignant Mesothelioma Cell Proliferation. Molecular Cancer Research. 19(5). 921–931. 4 indexed citations
6.
Tanaka, Ichidai, Tatsuhiro Sato, Masahiro Morise, et al.. (2021). Oxytocin receptor is a promising therapeutic target of malignant mesothelioma. Cancer Science. 112(9). 3520–3532. 6 indexed citations
7.
Sato, Tatsuhiro, Teruaki Fujishita, Emi Mishiro‐Sato, et al.. (2018). TAZ activation by Hippo pathway dysregulation induces cytokine gene expression and promotes mesothelial cell transformation. Oncogene. 38(11). 1966–1978. 21 indexed citations
8.
9.
Sato, Tatsuhiro, et al.. (2017). Phosphoproteomic Analysis Identifies Signaling Pathways Regulated by Curcumin in Human Colon Cancer Cells. Anticancer Research. 37(9). 4789–4798. 13 indexed citations
11.
Sato, Tatsuhiro, et al.. (2010). Single amino-acid changes that confer constitutive activation of mTOR are discovered in human cancer. Oncogene. 29(18). 2746–2752. 163 indexed citations
12.
Sato, Tatsuhiro, et al.. (2008). Characterization of the Rheb‐mTOR Signaling Pathway in Mammalian Cells: Constitutive Active Mutants of Rheb and mTOR. Methods in enzymology on CD-ROM/Methods in enzymology. 438. 307–320. 30 indexed citations
13.
Sato, Tatsuhiro, et al.. (2007). Shunting Scheduling Method in a Railway Depot for Dealing with Changes in Operational Conditions. IEEJ Transactions on Electronics Information and Systems. 127(2). 274–283. 3 indexed citations
14.
Aspuria, Paul‐Joseph, Tatsuhiro Sato, & Fuyuhiko Tamanoi. (2007). The TSC/Rheb/TOR Signaling Pathway in Fission Yeast and Mammalian Cells: Temperature Sensitive and Constitutive Active Mutants of TOR. Cell Cycle. 6(14). 1692–1695. 33 indexed citations
15.
Sato, Tatsuhiro, Kenji Irie, Ryoko Okamoto, et al.. (2005). Common signaling pathway is used by the trans‐interaction of Necl‐5/Tage4/PVR/CD155 and nectin, and of nectin and nectin during the formation of cell–cell adhesion. Cancer Science. 96(9). 578–589. 21 indexed citations
16.
Sato, Tatsuhiro, Naoyuki Fujita, Akio Yamada, et al.. (2005). Regulation of the Assembly and Adhesion Activity of E-cadherin by Nectin and Afadin for the Formation of Adherens Junctions in Madin-Darby Canine Kidney Cells. Journal of Biological Chemistry. 281(8). 5288–5299. 127 indexed citations
17.
Ogita, Hisakazu, Tomomi Kawakatsu, Tomohiro Yamada, et al.. (2004). Involvement of the c-Src-Crk-C3G-Rap1 Signaling in the Nectin-induced Activation of Cdc42 and Formation of Adherens Junctions. Journal of Biological Chemistry. 280(1). 815–825. 129 indexed citations
18.
Sato, Tatsuhiro, Kenji Irie, Takako Ooshio, Wataru Ikeda, & Yoshimi Takai. (2004). Involvement of heterophilic trans‐interaction of Necl‐5/Tage4/PVR/CD155 with nectin‐3 in formation of nectin‐ and cadherin‐based adherens junctions. Genes to Cells. 9(9). 791–799. 23 indexed citations
19.
Tsuyama, Naohiro, Saori Kitao, Kaori Nishikawa, et al.. (2000). Differential regulation of human RecQ family helicases in cell transformation and cell cycle. Oncogene. 19(41). 4764–4772. 104 indexed citations
20.
Takimoto, Toru, et al.. (1989). Reevaluation Of Treatment Of Ranula. Auris Nasus Larynx. 16(3). 165–168. 6 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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