Tetsuya Saito

2.9k citations
40 papers · 2.0k indexed · 1 hit paper · h-index 19
Topics
Pharmacogenetics and Drug Metabolism (5 papers)MicroRNA in disease regulation (4 papers)Drug Transport and Resistance Mechanisms (4 papers)

In The Last Decade

Tetsuya Saito

40 papers receiving 2.0k citations

Hit Papers

Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway d...20132026201720212013250500750

Peers

Tetsuya Saito
Comparison fields: 5 of 110
  • Molecular Biology 1.2k
  • Epidemiology 490
  • Cancer Research 247
  • Cell Biology 243
  • Oncology 227
Replace Sungsoon Fang with:
Sungsoon Fang South Korea
Soo Han Bae South Korea
Shivendra D. Shukla United States
Águeda González‐Rodríguez Spain
Hueng-Sik Choi South Korea
Hueng‐Sik Choi South Korea
Donald K. Scott United States
Claudia Tonelli Italy
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Eek Joong Park United States
Tetsuya Saito relative to Sungsoon Fang South Korea Sungsoon Fang's profile →
Citations per field
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Sungsoon Fang · 1×
Citations per year

Countries citing papers authored by Tetsuya Saito

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Saito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Saito

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Saito. A scholar is included among the top collaborators of Tetsuya Saito 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 Saito. Tetsuya Saito 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 1
2 2
3 7
4 7
5 22
6 23
7 13
8 40
9 17
10 8
11 54
12 18
13 100
14 78
15 2
16 30
17 2
18 44
19 1
20 9

About Tetsuya Saito

Tetsuya Saito is a scholar working on Toxicology, Pharmacology and Immunology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), MicroRNA in disease regulation (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Pharmacology (173 citations), Molecular Biology (1.2k citations) and Cancer Research (247 citations). Tetsuya Saito has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masaaki Komatsu, Shun Kageyama, Yoshinobu Ichimura, Yu‐shin Sou, Satoshi Waguri, Tamotsu Yoshimori, Kenji Takagi, Hozumi Motohashi, Atsushi Hirao and Takayuki Hoshii. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

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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