Shinya Tsuzuki

2.7k citations
104 papers · 1.3k indexed · 1 hit paper · h-index 21
Topics
Antibiotic Use and Resistance (27 papers)COVID-19 Clinical Research Studies (24 papers)Long-Term Effects of COVID-19 (14 papers)

In The Last Decade

Shinya Tsuzuki

92 papers receiving 1.3k citations

Hit Papers

Resurgence of Respiratory Syncytial Virus Infections duri...2021202620222024202150100150

Peers

Shinya Tsuzuki
Comparison fields: 5 of 130
  • Infectious Diseases 512
  • Epidemiology 425
  • Neurology 281
  • Modeling and Simulation 163
  • Applied Microbiology and Biotechnology 150
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 of co-authors of Shinya Tsuzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shinya Tsuzuki. A scholar is included among the top collaborators of Shinya Tsuzuki 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 Shinya Tsuzuki. Shinya Tsuzuki 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
#WorkIndexed citations
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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) and Long-Term Effects of COVID-19 (14 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.

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