Tetsuya Sato

4.0k citations
85 papers · 2.9k indexed · 1 hit paper · h-index 28
Topics
Epigenetics and DNA Methylation (10 papers)RNA Research and Splicing (9 papers)Genomics and Chromatin Dynamics (8 papers)

In The Last Decade

Tetsuya Sato

81 papers receiving 2.8k citations

Hit Papers

Derivation of Human Trophoblast Stem Cells20172026202020232017200400600

Peers

Tetsuya Sato
Comparison fields: 5 of 133
  • Molecular Biology 1.6k
  • Genetics 608
  • Immunology 457
  • Cancer Research 380
  • Pediatrics, Perinatology and Child Health 380
Replace Kazuhiko Nakabayashi with:
Kazuhiko Nakabayashi Japan
Jie Yan China
Yueh‐Chiang Hu United States
Takayuki Ikeda Japan
B. Dastugue France
Justin C. St. John Australia
Jason Gertz United States
Aleksandar Rajkovic United States
Christopher A. Wassif United States
Hiroshi Kogo Japan
Tetsuya Sato relative to Kazuhiko Nakabayashi Japan Kazuhiko Nakabayashi's profile →
Citations per field
00.5×1.7×
Kazuhiko Nakabayashi · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 11
4 31
5 34
6 9
7 2
8 10
9 105
10 102
11 31
12 24
13 141
14 117
15 10
16 8
17 7
18 39
19 19
20 0

About Tetsuya Sato

Tetsuya Sato is a scholar working on Reproductive Medicine, Genetics and Cancer Research, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (10 papers), RNA Research and Splicing (9 papers) and Genomics and Chromatin Dynamics (8 papers). The work is most often cited by research in Obstetrics and Gynecology (370 citations), Cancer Research (380 citations) and Reproductive Medicine (207 citations). Tetsuya Sato has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mikita Suyama, Yasuyuki Ohkawa, Hiroyuki Sasaki, Hidehiro Toh, Kenjiro Shirane, Takahiro Arima, Hiroaki Okae, Hitoshi Hiura, Yuka Kabayama and Sota Takahashi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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2026