Tetsuya Suzuki
- Electrical and Electronic Engineering top 10%
- Surgery top 10%
- Pathology and Forensic Medicine top 5%
- Materials Chemistry top 10%
- Infectious Diseases top 5%
- Co-authors
- Kôzô SatôEiji AbeJunji NakamuraTakahiro KondoYasuki TamuraNorio OhmagariMasataka SakuraiKoichiro Okuyama
- Topics
- COVID-19 Clinical Research Studies (13 papers)SARS-CoV-2 and COVID-19 Research (12 papers)Semiconductor materials and devices (9 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tetsuya Suzuki
122 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Electrical and Electronic Engineering 446
- Surgery 425
- Pathology and Forensic Medicine 419
- Materials Chemistry 367
- Infectious Diseases 256
Countries citing papers authored by Tetsuya Suzuki
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 15 | |
| 10 | 95 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | Real-time and Direct Analysis of Pollutants in Exhaust Gas Utilizing Resonance Enhanced Multi-photon Ionization (2) : Variations of Emissions Under Test Driving Modes | 1 |
| 14 | Real-time and Direct Analysis of Pollutants in Exhaust Gas Utilizing Resonance Enhanced Multi-photon Ionization (1) : Monitoring System for Real Gas Sample | 1 |
| 15 | Low Current Perpendicular Domain Wall Motion Cell for Scalable High-Speed MRAM | 48 |
| 16 | 150 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | Isolation of Influenza and Newcastle Disease Viruses at Inter-Epidemic Period. | 1 |
About Tetsuya Suzuki
Tetsuya Suzuki is a scholar working on Microbiology, Infectious Diseases and Virology, having authored 132 papers that have together received 2.3k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Semiconductor materials and devices (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (419 citations), Infectious Diseases (256 citations) and Immunology and Allergy (80 citations). Tetsuya Suzuki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kôzô Satô, Eiji Abe, Junji Nakamura, Takahiro Kondo, Yasuki Tamura, Norio Ohmagari, Masataka Sakurai, Koichiro Okuyama, Hidehiko Tanaka and Kenji Soda. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.