Wanying Lu
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- 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
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 3
- Co-authors
- Hongjie Yu (11 shared papers)Juan Yang (8 shared papers)Xinhua Chen (7 shared papers)Zeyao Zhao (7 shared papers)Xiaowei Deng (6 shared papers)Ruijia Sun (6 shared papers)Qianhui Wu (6 shared papers)Daniel T. Leung (5 shared papers)
- Journals
- The Lancet Global Health (1 paper)BMC Medicine (1 paper)The Lancet Infectious Diseases (1 paper)Synthetic and Systems Biotechnology (1 paper)Infectious Disease Modelling (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Wanying Lu
19 papers receiving 864 citations
Wanying Lu's Hit Papers
Peers
Comparison fields: 5 of 99
- Modeling and Simulation 171
- Infectious Diseases 525
- Health 88
- Animal Science and Zoology 35
- Microbiology 2
Countries citing papers authored by Wanying Lu
This map shows the geographic impact of Wanying Lu'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 Wanying Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanying Lu more than expected).
Fields of papers citing papers by Wanying Lu
This network shows the impact of papers produced by Wanying Lu. 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 Wanying Lu. The network helps show where Wanying Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanying Lu, 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 | 2021 | 183 | |
| 2 | Modeling transmission of SARS-CoV-2 Omicron in China Hit paper breakdown → | 2022 | 180 |
| 3 | Global landscape of SARS-CoV-2 genomic surveillance and data sharing Hit paper breakdown → | 2022 | 148 |
| 4 | 2021 | 130 | |
| 5 | 2021 | 69 | |
| 6 | 2015 | 44 | |
| 7 | 2020 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 |
About Wanying Lu
Wanying Lu is a scholar working on Infectious Diseases, Molecular Biology, Pharmacology, Health and Environmental Engineering, having authored 19 papers that have together received 878 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (2 papers), Sustainable Industrial Ecology (2 papers), Environmental Impact and Sustainability (2 papers) and Banking stability, regulation, efficiency (1 paper). The work is most often cited by research in Modeling and Simulation (171 citations), Infectious Diseases (525 citations), Health (88 citations), Animal Science and Zoology (35 citations) and Microbiology (2 citations). Wanying Lu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hongjie Yu, Juan Yang, Xinhua Chen, Zeyao Zhao, Xiaowei Deng, Ruijia Sun, Qianhui Wu, Daniel T. Leung, Andrew S. Azman and Zhiyuan Chen. Their work appears in journals such as The Lancet Global Health, BMC Medicine, The Lancet Infectious Diseases, Synthetic and Systems Biotechnology and Infectious Disease Modelling.
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.