Miyuki Kawase

5.3k citations
35 papers · 3.3k indexed · 4 hit papers · h-index 16
Topics
SARS-CoV-2 and COVID-19 Research (19 papers)Respiratory viral infections research (17 papers)Viral gastroenteritis research and epidemiology (15 papers)

In The Last Decade

Miyuki Kawase

34 papers receiving 3.3k citations

Hit Papers

Enhanced isolation of SARS-CoV-...20102026201520202020201020122013250500750

Peers

Miyuki Kawase
Comparison fields: 5 of 118
  • Infectious Diseases 2.7k
  • Animal Science and Zoology 525
  • Epidemiology 475
  • Molecular Biology 459
  • Neurology 419
Replace Susanne Pfefferle with:
Susanne Pfefferle Germany
Stephanie Bertram Germany
Zichun Xiang China
Cody B. Jackson United States
Shutoku Matsuyama Japan
Sarah R. Leist United States
James Brett Case United States
Xiuyuan Ou China
Zhixia Mu China
Stefanie Gierer Germany
Miyuki Kawase relative to Susanne Pfefferle Germany Susanne Pfefferle's profile →
Citations per field
00.5×1.7×
Susanne Pfefferle · 1×
Citations per year

Countries citing papers authored by Miyuki Kawase

Since Specialization
Citations

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

Fields of papers citing papers by Miyuki Kawase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Kawase

This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Kawase. A scholar is included among the top collaborators of Miyuki Kawase 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 Miyuki Kawase. Miyuki Kawase 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
1 0
2 1
3 6
4 11
5 7
6 8
7 2
8 7
9 65
10 6
11 10
12
Enhanced isolation of SARS-CoV-2 by TMPRSS2-expressing cellsbreakdown →
899
13 203
14 23
15 53
16 162
17 7
18 58
19 4
20
Efficient Activation of the Severe Acute Respiratory Syndrome Coronavirus Spike Protein by the Transmembrane Protease TMPRSS2breakdown →
570

About Miyuki Kawase

Miyuki Kawase is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 35 papers that have together received 3.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Respiratory viral infections research (17 papers) and Viral gastroenteritis research and epidemiology (15 papers). The work is most often cited by research in Infectious Diseases (2.7k citations), Animal Science and Zoology (525 citations) and Neurology (419 citations). Miyuki Kawase has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Shutoku Matsuyama, Kazuya Shirato, Fumihiro Taguchi, Makoto Takeda, Noriyo Nagata, Naganori Nao, Lia van der Hoek, Fumihiro Kato, Hiroshi Katoh and Maino Tahara. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Virology.

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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