Yi Shi
Impact in
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Epidemiology top 0.5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Viral Infections and Vectors 28
- Viral gastroenteritis research and epidemiology 19
- Viral Infections and Outbreaks Research 19
- SARS-CoV-2 and COVID-19 Research 17
- Virology 11
- Co-authors
- George F. GaoJianxun QiJinghua YanHao SongWei ZhangGuangwen LuYing WuQihui Wang
- Journals
- Nature Communications (15 papers)Journal of Virology (11 papers)Protein & Cell (7 papers)Cell Reports (6 papers)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Yi Shi
193 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Infectious Diseases 4.1k
- Epidemiology 3.4k
- Agronomy and Crop Science 818
- Immunology 1.5k
- Animal Science and Zoology 642
Countries citing papers authored by Yi Shi
This map shows the geographic impact of Yi Shi'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 Yi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Shi more than expected).
Fields of papers citing papers by Yi Shi
This network shows the impact of papers produced by Yi Shi. 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 Yi Shi. The network helps show where Yi Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 43 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 50 | |
| 12 | 2021 | 33 | |
| 13 | 2020 | 44 | |
| 14 | Both Boceprevir and GC376 efficaciously inhibit SARS-CoV-2 by targeting its main protease Hit paper breakdown → | 2020 | 392 |
| 15 | 2019 | 28 | |
| 16 | 2019 | 56 | |
| 17 | 2019 | 34 | |
| 18 | 2017 | 31 | |
| 19 | 2016 | 116 | |
| 20 | [The changes of Dectin-1 and TLR2 in human umbilical vein endothelial cells stimulated by Aspergillus fumigatus]. | 2011 | 2 |
About Yi Shi
Yi Shi is a scholar working on Infectious Diseases, Virology, Epidemiology, Immunology and Endocrinology, having authored 199 papers that have together received 9.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (42 papers), Viral Infections and Vectors (28 papers), Viral gastroenteritis research and epidemiology (19 papers), Viral Infections and Outbreaks Research (19 papers), Mosquito-borne diseases and control (17 papers), SARS-CoV-2 and COVID-19 Research (17 papers), Immune Cell Function and Interaction (16 papers) and Respiratory viral infections research (16 papers). The work is most often cited by research in Infectious Diseases (4.1k citations), Epidemiology (3.4k citations), Agronomy and Crop Science (818 citations), Immunology (1.5k citations) and Animal Science and Zoology (642 citations). Yi Shi has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include George F. Gao, Jianxun Qi, Jinghua Yan, Hao Song, Wei Zhang, Guangwen Lu, Ying Wu, Qihui Wang, Yuhai Bi and Yuan Yuan. Their work appears in journals such as Nature Communications, Journal of Virology, Protein & Cell, Cell Reports and Scientific Reports.
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.