Tetsuya Suga

114 papers receiving 1.7k citations

Peers

Tetsuya Suga
Comparison fields: 5 of 120
  • Clinical Biochemistry 390
  • Biochemistry 223
  • Pharmacology 140
  • Molecular Biology 1.0k
  • Health, Toxicology and Mutagenesis 158
Replace M. K. Reddy with:
M. K. Reddy United States
Paolo Di Simplicio Italy
Stefan E.H. Alexson Sweden
Tamotsu Yoshioka Japan
Tim J.B. Gray United Kingdom
W. E. Cornatzer United States
John G. Bieri United States
Tülay Akçay Türkiye
Fritz Ötting Germany
Timo M. Buetler Switzerland
Tetsuya Suga relative to M. K. Reddy United States M. K. Reddy's profile →
Citations per field
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M. K. Reddy · 1×
Citations per year

Countries citing papers authored by Tetsuya Suga

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tetsuya Suga, 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 Suga Line = papers co-authored together Tetsuya Suga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981139
2 2001110
3 198084
4 197166
5
Peroxisomes : biology and role in toxicology and disease
199661
6 199455
7 198550
8 199145
9 198945
10 198943
11 199940
12 199640
13 199837
14 199037
15 200236
16 198136
17 198831
18 199429
19 199727
20 199826

About Tetsuya Suga

Tetsuya Suga is a scholar working on Molecular Biology, Clinical Biochemistry, Biochemistry, Oncology and Cancer Research, having authored 116 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (56 papers), Metabolism and Genetic Disorders (39 papers), Drug Transport and Resistance Mechanisms (10 papers), Amino Acid Enzymes and Metabolism (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Rice Cultivation and Yield Improvement (6 papers), Analytical Chemistry and Chromatography (6 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Clinical Biochemistry (390 citations), Biochemistry (223 citations), Pharmacology (140 citations), Molecular Biology (1.0k citations) and Health, Toxicology and Mutagenesis (158 citations). Tetsuya Suga has collaborated with scholars based in Japan, Switzerland and United Kingdom. Frequent co-authors include Shuichi Horie, Hidemi Ishii, Junji Yamada, Takafumi Watanabe, Toshinari Suzuki, Kumiko Yaguchi, Hiroshi Tamura, Hidenori Hayashi, Sukeji Suzuki and Toshio Suwa. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, The Journal of Biochemistry, Archives of Biochemistry and Biophysics, Biochemical Pharmacology and Cancer Letters.

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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