Miao Gui
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
- Structural Biology top 5%
Papers in ⓘ
-
- Protist diversity and phylogeny 7
- Lipid Membrane Structure and Behavior 2
- Genetics 10
- Genetic and Kidney Cyst Diseases 8
- Bacterial Genetics and Biotechnology 2
- Co-authors
- Ye Xiang (8 shared papers)Xinquan Wang (2 shared papers)Jingwei Xu (3 shared papers)Silian Chen (1 shared paper)Haixia Zhou (1 shared paper)Alan Brown (8 shared papers)Dianhong Wang (2 shared papers)Susan K. Dutcher (2 shared papers)
- Journals
- Nature Structural & Molecular Biology (4 papers)Nature Communications (3 papers)Cell (3 papers)Nature (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Miao Gui
23 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Infectious Diseases 1.0k
- Structural Biology 50
- Animal Science and Zoology 183
- Cell Biology 229
- Genetics 322
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 25 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 | 558 |
| 2 | Cryo-electron microscopy structures of the SARS-CoV spike glycoprotein reveal a prerequisite conformational state for receptor binding Hit paper breakdown → | 2016 | 416 |
| 3 | 2016 | 135 | |
| 4 | 2021 | 89 | |
| 5 | 2020 | 85 | |
| 6 | 2021 | 83 | |
| 7 | 2023 | 75 | |
| 8 | 2022 | 57 | |
| 9 | 2019 | 55 | |
| 10 | 2020 | 55 | |
| 11 | 2023 | 49 | |
| 12 | 2022 | 36 | |
| 13 | 2016 | 36 | |
| 14 | 2022 | 31 | |
| 15 | 2016 | 26 | |
| 16 | 2020 | 23 | |
| 17 | 2015 | 22 | |
| 18 | 2024 | 20 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 5 |
About Miao Gui
Miao Gui is a scholar working on Molecular Biology, Genetics, Cell Biology, Infectious Diseases and Epidemiology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (8 papers), Microtubule and mitosis dynamics (8 papers), Protist diversity and phylogeny (7 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Structural Biology (50 citations), Animal Science and Zoology (183 citations), Cell Biology (229 citations) and Genetics (322 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, Silian Chen, Haixia Zhou, Alan Brown, Dianhong Wang, Susan K. Dutcher, Rui Zhang and Xiangli Wang. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Communications, Cell, Nature and PLoS Pathogens.
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.