Shinya Tsuzuki

2.7k citations
104 papers · 1.3k indexed · 1 hit paper · h-index 21

Shinya Tsuzuki

92 papers receiving 1.3k citations

Hit Papers

Resurgence of Respiratory Syncytial Virus Infections duri...167202120262022202450100150

Peers

Shinya Tsuzuki
Comparison fields: 5 of 130
  • Applied Microbiology and Biotechnology 150
  • Modeling and Simulation 163
  • Infectious Diseases 512
  • Neurology 281
  • Molecular Medicine 75
Replace Davide Fiore Bavaro with:
Davide Fiore Bavaro Italy
Sanjat Kanjilal United States
Yu Bin Seo South Korea
Nimalie D. Stone United States
Sophia Archuleta Singapore
Naveet Wig India
Timothy L. Wiemken United States
Ian C. Michelow United States
Chih-Cheng Lai Taiwan
Koh Cheng Thoon Singapore
Shinya Tsuzuki relative to Davide Fiore Bavaro Italy Davide Fiore Bavaro's profile →
Citations per field
00.5×10×13×
Davide Fiore Bavaro · 1×
Citations per year

Countries citing papers authored by Shinya Tsuzuki

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Tsuzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20244
5 20242
6 20231
7 20232
8 20230
9 20231
10 20231
11 20236
12 20224
13 20221
14 20225
15 20222
16 202236
17 20213
18 20213
19 202111
20 202111

About Shinya Tsuzuki

Shinya Tsuzuki is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 104 papers that have together received 1.3k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (27 papers), COVID-19 Clinical Research Studies (24 papers), Long-Term Effects of COVID-19 (14 papers), COVID-19 epidemiological studies (11 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 and Mental Health (10 papers), Bacterial Identification and Susceptibility Testing (10 papers) and Respiratory viral infections research (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (150 citations), Modeling and Simulation (163 citations) and Infectious Diseases (512 citations). Shinya Tsuzuki has collaborated with scholars based in Japan, Belgium and United States. Frequent co-authors include Norio Ohmagari, Mugen Ujiie, Noriko Iwamoto, Takato Nakamoto, Nobuaki Matsunaga, Kayoko Hayakawa, Mari Terada, Yusuke Asai, Sho Saito and Shinichiro Morioka. Their work appears in journals such as PLoS ONE, Journal of Molecular Biology and Clinical Infectious Diseases.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026