Yusuke Kosugi
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 37
- SARS-CoV-2 detection and testing 17
- Viral gastroenteritis research and epidemiology 12
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- Postharvest Quality and Shelf Life Management 19
- Plant nutrient uptake and metabolism 10
- Co-authors
- Kei Sato (15 shared papers)Keiya Uriu (14 shared papers)Jumpei Ito (12 shared papers)Jiří Zahradník (3 shared papers)Daichi Yamasoba (4 shared papers)Shigeru Fujita (4 shared papers)Yu Kaku (6 shared papers)Izumi Kimura (4 shared papers)
- Journals
- The Lancet Infectious Diseases (9 papers)Nature Communications (5 papers)Nature (4 papers)Journal of Virology (4 papers)Cell Host & Microbe (3 papers)
- Partner nations
- JapanUnited KingdomCzechia
In The Last Decade
Yusuke Kosugi
83 papers receiving 5.6k citations
Yusuke Kosugi's Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 4.6k
- Animal Science and Zoology 692
- Modeling and Simulation 282
- Molecular Biology 1.4k
- Neurology 283
Countries citing papers authored by Yusuke Kosugi
This map shows the geographic impact of Yusuke Kosugi'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 Yusuke Kosugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Kosugi more than expected).
Fields of papers citing papers by Yusuke Kosugi
This network shows the impact of papers produced by Yusuke Kosugi. 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 Yusuke Kosugi. The network helps show where Yusuke Kosugi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yusuke Kosugi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion Hit paper breakdown → | 2021 | 941 |
| 2 | Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity Hit paper breakdown → | 2022 | 792 |
| 3 | Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant Hit paper breakdown → | 2022 | 491 |
| 4 | Enhanced fusogenicity and pathogenicity of SARS-CoV-2 Delta P681R mutation Hit paper breakdown → | 2021 | 440 |
| 5 | SARS-CoV-2 spike L452R variant evades cellular immunity and increases infectivity Hit paper breakdown → | 2021 | 395 |
| 6 | Virological characteristics of the SARS-CoV-2 Omicron BA.2 spike Hit paper breakdown → | 2022 | 233 |
| 7 | Virological characteristics of the SARS-CoV-2 XBB variant derived from recombination of two Omicron subvariants Hit paper breakdown → | 2023 | 225 |
| 8 | Virological characteristics of the SARS-CoV-2 JN.1 variant Hit paper breakdown → | 2024 | 214 |
| 9 | Virological characteristics of the SARS-CoV-2 Omicron BA.2 subvariants, including BA.4 and BA.5 Hit paper breakdown → | 2022 | 194 |
| 10 | Neutralisation sensitivity of SARS-CoV-2 omicron subvariants to therapeutic monoclonal antibodies Hit paper breakdown → | 2022 | 162 |
| 11 | 2021 | 140 | |
| 12 | 2022 | 113 | |
| 13 | 2021 | 111 | |
| 14 | Virological characteristics of the SARS-CoV-2 omicron XBB.1.16 variant Hit paper breakdown → | 2023 | 106 |
| 15 | Enhanced transmissibility, infectivity, and immune resistance of the SARS-CoV-2 omicron XBB.1.5 variant Hit paper breakdown → | 2023 | 105 |
| 16 | Transmissibility, infectivity, and immune evasion of the SARS-CoV-2 BA.2.86 variant Hit paper breakdown → | 2023 | 102 |
| 17 | 2023 | 102 | |
| 18 | Virological characteristics of the SARS-CoV-2 KP.2 variant Hit paper breakdown → | 2024 | 78 |
| 19 | Virological characteristics of the SARS-CoV-2 Omicron XBB.1.5 variant Hit paper breakdown → | 2024 | 64 |
| 20 | Virological characteristics of the SARS-CoV-2 BA.2.86 variant Hit paper breakdown → | 2024 | 58 |
About Yusuke Kosugi
Yusuke Kosugi is a scholar working on Infectious Diseases, Plant Science, Animal Science and Zoology, Molecular Biology and Food Science, having authored 89 papers that have together received 5.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (37 papers), Postharvest Quality and Shelf Life Management (19 papers), SARS-CoV-2 detection and testing (17 papers), Viral gastroenteritis research and epidemiology (12 papers), Plant Gene Expression Analysis (10 papers), Animal Virus Infections Studies (10 papers), Plant nutrient uptake and metabolism (10 papers) and Plant tissue culture and regeneration (9 papers). The work is most often cited by research in Infectious Diseases (4.6k citations), Animal Science and Zoology (692 citations), Modeling and Simulation (282 citations), Molecular Biology (1.4k citations) and Neurology (283 citations). Yusuke Kosugi has collaborated with scholars based in Japan, United Kingdom and Czechia. Frequent co-authors include Kei Sato, Keiya Uriu, Jumpei Ito, Jiří Zahradník, Daichi Yamasoba, Shigeru Fujita, Yu Kaku, Izumi Kimura, Arnon Plianchaisuk and Toshiyuki Matsui. Their work appears in journals such as The Lancet Infectious Diseases, Nature Communications, Nature, Journal of Virology and Cell Host & Microbe.
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.