Panke Qu
Impact in
- Infectious Diseases top 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 5%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 10
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 detection and testing 4
- Viral Infections and Vectors 3
-
- Animal Virus Infections Studies 3
- Co-authors
- Yi-Min ZhengEugene M. OltzLinda J. SaifShan‐Lu LiuRichard J. GuminaKai XuClaire CarlinJohn P. Evans
- Journals
- Cell Host & Microbe (3 papers)mBio (2 papers)Cell Reports (2 papers)Antiviral Research (2 papers)Emerging Microbes & Infections (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Panke Qu
15 papers receiving 731 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Infectious Diseases 664
- Animal Science and Zoology 121
- Modeling and Simulation 38
- Molecular Biology 215
- Immunology 62
Countries citing papers authored by Panke Qu
This map shows the geographic impact of Panke Qu'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 Panke Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panke Qu more than expected).
Fields of papers citing papers by Panke Qu
This network shows the impact of papers produced by Panke Qu. 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 Panke Qu. The network helps show where Panke Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Panke Qu, 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 | Immune evasion, infectivity, and fusogenicity of SARS-CoV-2 BA.2.86 and FLip variants Hit paper breakdown → | 2024 | 71 |
| 2 | 2023 | 44 | |
| 3 | 2023 | 18 | |
| 4 | 2023 | 15 | |
| 5 | Enhanced evasion of neutralizing antibody response by Omicron XBB.1.5, CH.1.1, and CA.3.1 variants Hit paper breakdown → | 2023 | 96 |
| 6 | 2023 | 14 | |
| 7 | Enhanced neutralization resistance of SARS-CoV-2 Omicron subvariants BQ.1, BQ.1.1, BA.4.6, BF.7, and BA.2.75.2 Hit paper breakdown → | 2022 | 158 |
| 8 | 2022 | 59 | |
| 9 | 2022 | 86 | |
| 10 | 2021 | 27 | |
| 11 | 2020 | 47 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 14 | |
| 14 | 2019 | 43 | |
| 15 | 2018 | 30 |
About Panke Qu
Panke Qu is a scholar working on Infectious Diseases, Animal Science and Zoology, Modeling and Simulation, Insect Science and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 740 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (5 papers), Mosquito-borne diseases and control (4 papers), SARS-CoV-2 detection and testing (4 papers), Bacillus and Francisella bacterial research (3 papers), Viral Infections and Vectors (3 papers), Animal Virus Infections Studies (3 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Infectious Diseases (664 citations), Animal Science and Zoology (121 citations), Modeling and Simulation (38 citations), Molecular Biology (215 citations) and Immunology (62 citations). Panke Qu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yi-Min Zheng, Eugene M. Oltz, Linda J. Saif, Shan‐Lu Liu, Richard J. Gumina, Kai Xu, Claire Carlin, John P. Evans, Julia N. Faraone and Gerard Lozanski. Their work appears in journals such as Cell Host & Microbe, mBio, Cell Reports, Antiviral Research and Emerging Microbes & Infections.
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.