Tetsuya Suzuki

5.2k total citations
221 papers, 4.1k citations indexed

About

Tetsuya Suzuki is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Tetsuya Suzuki has authored 221 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 33 papers in Plant Science and 22 papers in Cancer Research. Recurrent topics in Tetsuya Suzuki's work include DNA Repair Mechanisms (34 papers), CRISPR and Genetic Engineering (23 papers) and Carcinogens and Genotoxicity Assessment (22 papers). Tetsuya Suzuki is often cited by papers focused on DNA Repair Mechanisms (34 papers), CRISPR and Genetic Engineering (23 papers) and Carcinogens and Genotoxicity Assessment (22 papers). Tetsuya Suzuki collaborates with scholars based in Japan, United States and South Korea. Tetsuya Suzuki's co-authors include Kazuo Iwai, Hideshi Fujiwake, Kōzō Takama, Hiroyuki Kamiya, Masumi Watanabe, Kazuo Miyashita, Teruo Kawada, Barakat S.M. Mahmoud, Koji Yamazaki and Masanori Matsuda and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Tetsuya Suzuki

212 papers receiving 3.8k citations

Peers

Tetsuya Suzuki
Comparison fields: 5 of 152
  • Molecular Biology 1.4k
  • Plant Science 722
  • Sensory Systems 493
  • Nutrition and Dietetics 479
  • Surgery 473
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Citations per field, relative to Tetsuya Suzuki
Tetsuya Suzuki · 1×
Citations per year, relative to Tetsuya Suzuki
Tetsuya Suzuki · 1×

Countries citing papers authored by Tetsuya Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuya Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuya Suzuki. A scholar is included among the top collaborators of Tetsuya Suzuki 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 Suzuki. Tetsuya Suzuki 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
# Work Indexed citations
1 7
2 16
3 6
4 9
5 1
6 33
7
Effect of sodium arsenite exposure on Euglena gracilis SMZ: Inhibition of growth and viability of E. gracilis SMZ exposure to sodium arsenite
3
8 1
9
Long term effect of lightened automobiles by CFRP as a measure for environmental and energy problem
1
10 5
11 102
12
Inhibition of the Growth of Foodborne Disease-Causing Bacteria by Calcined Scallop Shell Powder
1
13
Expression of xyrA gene coding for D-xylose reductase of Candida tropicalis and production of xylitol in Escherichia coli
3
14 1
15 58
16 13
17 15
18 2
19
Aerobic Degradation of Polypropylene Glycol by Corynebacterium sp.
15
20
Degradation of polycaprolactone by a fungus.
28

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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