Tetsuya Sato

4.0k total citations · 1 hit paper
85 papers, 2.9k citations indexed

About

Tetsuya Sato is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Tetsuya Sato has authored 85 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 19 papers in Genetics and 12 papers in Immunology. Recurrent topics in Tetsuya Sato's work include Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (9 papers) and Genomics and Chromatin Dynamics (8 papers). Tetsuya Sato is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (9 papers) and Genomics and Chromatin Dynamics (8 papers). Tetsuya Sato collaborates with scholars based in Japan, United States and Germany. Tetsuya Sato's co-authors include Mikita Suyama, Yasuyuki Ohkawa, Hiroyuki Sasaki, Kenjiro Shirane, Hidehiro Toh, Takahiro Arima, Hitoshi Hiura, Hiroaki Okae, Yuka Kabayama and Sota Takahashi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tetsuya Sato

81 papers receiving 2.8k citations

Hit Papers

Derivation of Human Trophoblast Stem Cells 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tetsuya Sato Japan 28 1.6k 608 457 380 380 85 2.9k
B. Dastugue France 36 2.2k 1.4× 528 0.9× 416 0.9× 141 0.4× 240 0.6× 157 3.9k
Kazuhiko Nakabayashi Japan 40 3.5k 2.2× 1.9k 3.1× 267 0.6× 411 1.1× 884 2.3× 222 5.0k
Dik van Leenen Netherlands 29 2.2k 1.3× 354 0.6× 387 0.8× 254 0.7× 92 0.2× 45 4.1k
Jason Gertz United States 30 3.3k 2.0× 1.1k 1.8× 345 0.8× 690 1.8× 122 0.3× 67 4.3k
Jie Yan China 30 2.0k 1.2× 378 0.6× 257 0.6× 463 1.2× 413 1.1× 73 3.2k
Anne E. Kwitek United States 34 2.0k 1.2× 1.5k 2.4× 383 0.8× 295 0.8× 244 0.6× 125 4.5k
Christopher A. Wassif United States 37 2.4k 1.4× 747 1.2× 268 0.6× 250 0.7× 163 0.4× 87 4.1k
Michaël Weber France 27 5.7k 3.5× 1.9k 3.0× 252 0.6× 647 1.7× 772 2.0× 70 6.5k
Hiroshi Kogo Japan 29 1.5k 0.9× 520 0.9× 101 0.2× 150 0.4× 292 0.8× 110 2.5k
Yueh‐Chiang Hu United States 38 2.7k 1.7× 1.4k 2.3× 259 0.6× 448 1.2× 179 0.5× 72 4.3k

Countries citing papers authored by Tetsuya Sato

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Sato. A scholar is included among the top collaborators of Tetsuya 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 Tetsuya Sato. Tetsuya 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.
Saika, Fumihiro, Tetsuya Sato, Yohji Fukazawa, et al.. (2025). Male-Dominant Spinal Microglia Contribute to Neuropathic Pain by Producing CC-Chemokine Ligand 4 Following Peripheral Nerve Injury. Cells. 14(7). 484–484.
2.
Ohbe, Hiroyuki, et al.. (2024). Development and validation of early prediction models for new-onset functional impairment of patients with trauma at hospital discharge. The Journal of Trauma: Injury, Infection, and Critical Care. 98(1). 167–178. 1 indexed citations
3.
Suzuki, Kentaro, Shoko Matsushita, Shinjiro Hino, et al.. (2021). Sexual fate of murine external genitalia development: Conserved transcriptional competency for male-biased genes in both sexes. Proceedings of the National Academy of Sciences. 118(23). 11 indexed citations
5.
Fukui, Yûkô, Takashi Baba, Tetsuya Sato, et al.. (2018). Mouse polycomb group gene Cbx2 promotes osteoblastic but suppresses adipogenic differentiation in postnatal long bones. Bone. 120. 219–231. 9 indexed citations
6.
Yoshida, Hideki, Yasuyuki Ohkawa, Tetsuya Sato, et al.. (2017). Control of tissue size and development by a regulatory element in the yorkie 3'UTR.. PubMed. 7(3). 673–687. 9 indexed citations
7.
Yoshihara, Minako, Tetsuya Sato, Daisuke Saito, et al.. (2017). A deletion in the intergenic region upstream of Ednrb causes head spot in the rat strain KFRS4/Kyo. BMC Genetics. 18(1). 29–29. 4 indexed citations
8.
Yabe‐Wada, Toshiki, Tetsuya Sato, Mikita Suyama, et al.. (2017). Identification of Secretory Leukoprotease Inhibitor As an Endogenous Negative Regulator in Allergic Effector Cells. Frontiers in Immunology. 8. 1538–1538. 12 indexed citations
9.
Yoshihara, Minako, Tetsuya Sato, Daisuke Saito, et al.. (2016). Application of target capture sequencing of exons and conserved non-coding sequences to 20 inbred rat strains. Genomics Data. 10. 155–157. 2 indexed citations
10.
Katayama, Yuta, Masaaki Nishiyama, Hirotaka Shoji, et al.. (2016). CHD8 haploinsufficiency results in autistic-like phenotypes in mice. Nature. 537(7622). 675–679. 223 indexed citations
11.
Nishimura, T., Tetsuya Sato, Yasuhiro Yamamoto, et al.. (2015). foxl3 is a germ cell–intrinsic factor involved in sperm-egg fate decision in medaka. Science. 349(6245). 328–331. 105 indexed citations
12.
Tanaka, Shintaro, Hideki Yoshida, Yasuko Kato, et al.. (2015). Genomewide identification of target genes of histone methyltransferase dG9a during Drosophila embryogenesis. Genes to Cells. 20(11). 902–914. 10 indexed citations
13.
Kubo, Naoki, Hidehiro Toh, Kenjiro Shirane, et al.. (2015). DNA methylation and gene expression dynamics during spermatogonial stem cell differentiation in the early postnatal mouse testis. BMC Genomics. 16(1). 624–624. 102 indexed citations
14.
Sato, Tetsuya & Mikita Suyama. (2015). ChromContact: A web tool for analyzing spatial contact of chromosomes from Hi-C data. BMC Genomics. 16(1). 1060–1060. 5 indexed citations
15.
Nakamura, Masataka, Kensuke Shibata, Shinya Hatano, et al.. (2014). A Genome-Wide Analysis Identifies a Notch–RBP-Jκ–IL-7Rα Axis That Controls IL-17–Producing γδ T Cell Homeostasis in Mice. The Journal of Immunology. 194(1). 243–251. 24 indexed citations
16.
Nishida, Naohiro, Makoto Nagahara, Tetsuya Sato, et al.. (2012). Microarray Analysis of Colorectal Cancer Stromal Tissue Reveals Upregulation of Two Oncogenic miRNA Clusters. Clinical Cancer Research. 18(11). 3054–3070. 141 indexed citations
17.
Shibata, Kensuke, Hisakata Yamada, Tetsuya Sato, et al.. (2011). Notch-Hes1 pathway is required for the development of IL-17–producing γδ T cells. Blood. 118(3). 586–593. 117 indexed citations
18.
Sato, Tetsuya, Yoshihiro Yamanishi, Katsuhisa Horimoto, Hiroyuki Toh, & Minoru Kanehisa. (2003). Prediction of Protein-Protein Interactions from Phylogenetic Trees Using Partial Correlation Coefficient. Proceedings Genome Informatics Workshop/Genome informatics. 14. 496–497. 8 indexed citations
19.
Rujescu, Dan, Ina Giegling, Tetsuya Sato, & Hans‐Juergen Moeller. (2001). A polymorphism in the promoter of the serotonin transporter gene is not associated with suicidal behavior. Psychiatric Genetics. 11(3). 169–172. 39 indexed citations
20.
Sato, Tetsuya. (1993). Immunological Identification of Rhizobial Strains.. Nippon Nōgeikagaku Kaishi. 67(7). 1073–1076.

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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