Tetsuya Saito

2.9k citations
40 papers · 2.0k indexed · 1 hit paper · h-index 19
    • Pharmacogenetics and Drug Metabolism 5
    • Genomics, phytochemicals, and oxidative stress 3
    • Extracellular vesicles in disease 3
    • MicroRNA in disease regulation 4
    • Drug Transport and Resistance Mechanisms 4
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3
    • Toxin Mechanisms and Immunotoxins 3

Tetsuya Saito

40 papers receiving 2.0k citations

Hit Papers

Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway d...9502013202620172021250500750

Peers

Tetsuya Saito
Comparison fields: 5 of 110
  • Pharmacology 173
  • Molecular Biology 1.2k
  • Cancer Research 247
  • Cell Biology 243
  • Epidemiology 490
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
Yoon Sin Oh South Korea
Eek Joong Park United States
Tetsuya Saito relative to Sungsoon Fang South Korea Sungsoon Fang's profile →
Citations per field
00.5×1.5×2.0×
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

The 25 scholars most cited alongside Tetsuya Saito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tetsuya Saito Line = papers co-authored together Tetsuya Saito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20222
3 20227
4 20217
5 202122
6 201923
7 201613
8 201340
9 201317
10 20118
11 200954
12 200818
13 2007100
14 200478
15 20032
16 200330
17 20022
18 200144
19 19901
20 19909

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), Drug Transport and Resistance Mechanisms (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Immunotherapy and Immune Responses (3 papers), Extracellular vesicles in disease (3 papers), Immune Response and Inflammation (3 papers) and Toxin Mechanisms and Immunotoxins (3 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.

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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