Tetsuya Suzuki

3.7k total citations · 1 hit paper
132 papers, 2.3k citations indexed

About

Tetsuya Suzuki is a scholar working on Infectious Diseases, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Tetsuya Suzuki has authored 132 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 20 papers in Electrical and Electronic Engineering and 18 papers in Epidemiology. Recurrent topics in Tetsuya Suzuki's 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). Tetsuya Suzuki is often cited by papers focused on COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (12 papers) and Semiconductor materials and devices (9 papers). Tetsuya Suzuki collaborates with scholars based in Japan, United States and Australia. Tetsuya Suzuki's co-authors include Eiji Abe, Kôzô Satô, Junji Nakamura, Takahiro Kondo, Yasuki Tamura, Norio Ohmagari, Masataka Sakurai, Koichiro Okuyama, Kenji Soda and Nobuyoshi Esaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Tetsuya Suzuki

122 papers receiving 2.2k citations

Hit Papers

An anti-OX40 antibody to ... 2022 2026 2023 2024 2022 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tetsuya Suzuki Japan 24 446 425 419 367 256 132 2.3k
Hiroshi Irie Japan 26 376 0.8× 164 0.4× 94 0.2× 423 1.2× 114 0.4× 124 2.1k
Qi Shi China 34 738 1.7× 378 0.9× 260 0.6× 542 1.5× 58 0.2× 267 3.4k
Wenming Wang China 30 459 1.0× 152 0.4× 64 0.2× 501 1.4× 339 1.3× 164 2.4k
Kazuya Suzuki Japan 34 373 0.8× 477 1.1× 114 0.3× 619 1.7× 82 0.3× 253 4.8k
Shunsuke Mori Japan 41 986 2.2× 511 1.2× 307 0.7× 338 0.9× 442 1.7× 233 6.3k
T. Itoh Japan 28 670 1.5× 358 0.8× 128 0.3× 915 2.5× 65 0.3× 173 3.1k
Masayuki Kobayashi Japan 28 100 0.2× 407 1.0× 94 0.2× 217 0.6× 108 0.4× 145 2.7k
Masahiko Matsumoto Japan 24 192 0.4× 505 1.2× 162 0.4× 204 0.6× 80 0.3× 157 2.9k
Marco Caputo Italy 23 323 0.7× 151 0.4× 97 0.2× 584 1.6× 43 0.2× 91 2.6k
Yinghui Li China 28 301 0.7× 124 0.3× 56 0.1× 421 1.1× 163 0.6× 136 3.0k

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
1.
Nakamoto, Takato, Noriko Iwamoto, Keiji Nakamura, et al.. (2024). COVID-19 severity and corticosteroid treatment have minimal effect on specific antibody production. BMC Infectious Diseases. 24(1). 1197–1197.
2.
Tomita, Noriko, Junko Terada-Hirashima, Yukari Uemura, et al.. (2023). An open-label, non-randomized study investigating the safety and efficacy of smallpox vaccine, LC16, as post-exposure prophylaxis for mpox. Human Vaccines & Immunotherapeutics. 19(2). 2242219–2242219. 11 indexed citations
3.
Suzuki, Tetsuya, Sho Saito, Shinya Tsuzuki, et al.. (2023). Protocol of Tecopox study: a multicentre, open-label, double-arm trial to evaluate the efficacy and safety of oral tecovirimat therapy for patients with smallpox or monkeypox. BMJ Open. 13(8). e069550–e069550. 4 indexed citations
4.
Yamamoto, Kei, Tetsuya Suzuki, Michiyo Suzuki, et al.. (2023). Validation of the severe COVID-19 prognostic value of serum IL-6, IFN-λ3, CCL17, and calprotectin considering the timing of clinical need for prediction. PLoS ONE. 18(3). e0279897–e0279897.
6.
Terada-Hirashima, Junko, Yukari Uemura, Noriko Tomita, et al.. (2023). Efficacy and Safety of the Smallpox Vaccine for Postexposure Prophylaxis in Monkeypox: Protocol for an Open-Labeled, Single-Armed Study. JMIR Research Protocols. 12. e46955–e46955. 4 indexed citations
7.
Ishikane, Masahiro, Hiroyuki Unoki‐Kubota, Satoshi Kutsuna, et al.. (2022). Evaluation of the QIAstat-Dx Respiratory SARS-CoV-2 panel, a rapid multiplex PCR method for the diagnosis of COVID-19. Journal of Infection and Chemotherapy. 28(6). 729–734. 7 indexed citations
8.
Asai, Yusuke, Mio Endo, Tetsuya Suzuki, et al.. (2021). Rate of blood culture submissions in Japan as an indicator of bloodstream infections. Journal of Infection and Chemotherapy. 27(8). 1270–1272. 5 indexed citations
9.
Ishikane, Masahiro, et al.. (2021). A case of varicella zoster virus meningitis following BNT162b2 mRNA COVID-19 vaccination in an immunocompetent patient. International Journal of Infectious Diseases. 113. 55–57. 15 indexed citations
10.
Nomoto, Hidetoshi, Satoshi Kutsuna, Mugen Ujiie, et al.. (2021). Novel SARS-CoV-2 Variant in Travelers from Brazil to Japan. Emerging infectious diseases. 27(4). 95 indexed citations
11.
Nomoto, Hidetoshi, Satoshi Kutsuna, Kazu Okuma, et al.. (2021). No SARS-CoV-2 RNA detected in the convalescent plasma of COVID-19 patients with different disease severity. Journal of Infection and Chemotherapy. 27(4). 653–655. 2 indexed citations
12.
Suzuki, Tetsuya, Satoshi Kutsuna, Sho Saito, et al.. (2021). Clinical course of alopecia after COVID-19. International Journal of Infectious Diseases. 107. 255–256. 6 indexed citations
13.
14.
Misawa, Kentaro, Jun Matsumoto, Masaaki Fujii, et al.. (2008). Real-time and Direct Analysis of Pollutants in Exhaust Gas Utilizing Resonance Enhanced Multi-photon Ionization (2) : Variations of Emissions Under Test Driving Modes. 29(1). 123–125. 1 indexed citations
15.
Matsumoto, Jun, Kentaro Misawa, Masaaki Fujii, et al.. (2008). Real-time and Direct Analysis of Pollutants in Exhaust Gas Utilizing Resonance Enhanced Multi-photon Ionization (1) : Monitoring System for Real Gas Sample. Tokyo Tech Research Repository (Tokyo Institute of Technology). 29(1). 119–121. 1 indexed citations
16.
Fukami, Shunsuke, Tetsuya Suzuki, K. Nagahara, et al.. (2006). Low Current Perpendicular Domain Wall Motion Cell for Scalable High-Speed MRAM. Symposium on VLSI Technology. 109(133). 230–231. 48 indexed citations
17.
Ishii, Idaku, H. Higaki, T. Takabatake, et al.. (2003). UCu 2 Snにおけるフェロ四重極秩序化が原因となった自発歪. Physical Review B. 68(14). 1–144413. 4 indexed citations
19.
Suzuki, Tetsuya, et al.. (1993). Sudden death from tourniquet shock. Forensic Science International. 61(2-3). 185–190. 4 indexed citations
20.
Horikawa, Takashi, et al.. (1954). Isolation of Influenza and Newcastle Disease Viruses at Inter-Epidemic Period.. 4(2). 95–102. 1 indexed citations

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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