Miao Gui
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
- Structural Biology top 2%
- Advanced Electron Microscopy Techniques and Applications
Papers in
- Genetics 10
- Genetic and Kidney Cyst Diseases 10
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- SARS-CoV-2 and COVID-19 Research 3
- Viral Infections and Outbreaks Research 2
- Co-authors
- Ye Xiang (9 shared papers)Xinquan Wang (2 shared papers)Jingwei Xu (3 shared papers)Alan Brown (8 shared papers)Silian Chen (1 shared paper)Haixia Zhou (1 shared paper)Rui Zhang (2 shared papers)Xiangli Wang (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (4 papers)Nature Communications (3 papers)Cell (3 papers)Nature (2 papers)Science (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Miao Gui
25 papers receiving 2.2k citations
Miao Gui's Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 1.1k
- Structural Biology 93
- Genetics 356
- Reproductive Medicine 115
- Computational Theory and Mathematics 104
Countries citing papers authored by Miao Gui
This map shows the geographic impact of Miao Gui'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 Miao Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miao Gui more than expected).
Fields of papers citing papers by Miao Gui
This network shows the impact of papers produced by Miao Gui. 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 Miao Gui. The network helps show where Miao Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Miao Gui, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cryo-EM structure of the SARS coronavirus spike glycoprotein in complex with its host cell receptor ACE2 Hit paper breakdown → | 2018 | 606 |
| 2 | Cryo-electron microscopy structures of the SARS-CoV spike glycoprotein reveal a prerequisite conformational state for receptor binding Hit paper breakdown → | 2016 | 468 |
| 3 | 2016 | 176 | |
| 4 | 2021 | 104 | |
| 5 | 2021 | 101 | |
| 6 | 2020 | 95 | |
| 7 | 2023 | 93 | |
| 8 | 2020 | 66 | |
| 9 | 2023 | 65 | |
| 10 | 2022 | 64 | |
| 11 | 2019 | 61 | |
| 12 | 2017 | 58 | |
| 13 | 2022 | 50 | |
| 14 | 2016 | 45 | |
| 15 | 2022 | 36 | |
| 16 | 2024 | 33 | |
| 17 | 2016 | 31 | |
| 18 | 2020 | 25 | |
| 19 | 2015 | 23 | |
| 20 | 2024 | 21 |
About Miao Gui
Miao Gui is a scholar working on Genetics, Infectious Diseases, Reproductive Medicine, Structural Biology and Ecology, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (10 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Bacteriophages and microbial interactions (2 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Sperm and Testicular Function (2 papers), Receptor Mechanisms and Signaling (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Infectious Diseases (1.1k citations), Structural Biology (93 citations), Genetics (356 citations), Reproductive Medicine (115 citations) and Computational Theory and Mathematics (104 citations). Miao Gui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ye Xiang, Xinquan Wang, Jingwei Xu, Alan Brown, Silian Chen, Haixia Zhou, Rui Zhang, Xiangli Wang, Susan K. Dutcher and Sandeep Singh. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Communications, Cell, Nature and Science.
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.