Qun Yao
Impact in
- Neurology top 2%
- Long-Term Effects of COVID-19
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- Intensive Care Unit Cognitive Disorders
Papers in
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- Functional Brain Connectivity Studies 7
- Neural dynamics and brain function 2
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- Long-Term Effects of COVID-19 3
- Vestibular and auditory disorders 2
- Co-authors
- Jingping Shi (11 shared papers)Donglin Zhu (4 shared papers)Xingjian Lin (4 shared papers)Chaoyong Xiao (5 shared papers)Manli Wang (1 shared paper)Jia Liu (1 shared paper)Yufeng Li (1 shared paper)Liang Ren (1 shared paper)
In The Last Decade
Qun Yao
29 papers receiving 1.4k citations
Qun Yao's Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 674
- Critical Care and Intensive Care Medicine 126
- Infectious Diseases 318
- Neurology 129
- Clinical Psychology 170
Countries citing papers authored by Qun Yao
This map shows the geographic impact of Qun Yao'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 Qun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qun Yao more than expected).
Fields of papers citing papers by Qun Yao
This network shows the impact of papers produced by Qun Yao. 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 Qun Yao. The network helps show where Qun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Qun Yao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1-year outcomes in hospital survivors with COVID-19: a longitudinal cohort study Hit paper breakdown → | 2021 | 803 |
| 2 | 2021 | 177 | |
| 3 | 2022 | 66 | |
| 4 | 2021 | 62 | |
| 5 | 2022 | 54 | |
| 6 | 2017 | 36 | |
| 7 | 2018 | 28 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2010 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Qun Yao
Qun Yao is a scholar working on Cognitive Neuroscience, Neurology, Neurology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (7 papers), Reconstructive Surgery and Microvascular Techniques (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 Clinical Research Studies (2 papers), Vestibular and auditory disorders (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Neurology (674 citations), Critical Care and Intensive Care Medicine (126 citations), Infectious Diseases (318 citations), Neurology (129 citations) and Clinical Psychology (170 citations). Qun Yao has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Jingping Shi, Donglin Zhu, Xingjian Lin, Chaoyong Xiao, Manli Wang, Jia Liu, Yufeng Li, Liang Ren, Yiwu Zhou and Fēi Dèng. Their work appears in journals such as Frontiers in Neurology, CNS Neuroscience & Therapeutics, Frontiers in Oncology, Frontiers in Microbiology and Neurobiology of Disease.
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.