Jade Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 5
- SARS-CoV-2 detection and testing 2
-
- Bacterial biofilms and quorum sensing 2
- vaccines and immunoinformatics approaches 2
- Co-authors
- Scott Hughes (11 shared papers)Jennifer L. Rakeman (4 shared papers)Miko Yu (1 shared paper)Daniel Margolis (2 shared papers)Mert R. Sabuncu (1 shared paper)Christine Chen (1 shared paper)Sharon Gordon (1 shared paper)Stefanie J. Hectors (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (2 papers)International Journal for Population Data Science (2 papers)Early Childhood Education Journal (1 paper)Nature Communications (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jade Wang
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 123
- Modeling and Simulation 20
- Microbiology 14
- Animal Science and Zoology 20
- Endocrinology 7
Countries citing papers authored by Jade Wang
This map shows the geographic impact of Jade Wang'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 Jade Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jade Wang more than expected).
Fields of papers citing papers by Jade Wang
This network shows the impact of papers produced by Jade Wang. 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 Jade Wang. The network helps show where Jade Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jade Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 38 | |
| 4 | 2019 | 30 | |
| 5 | 2008 | 20 | |
| 6 | 2022 | 20 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2025 | 7 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Jade Wang
Jade Wang is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Atomic and Molecular Physics, and Optics and Modeling and Simulation, having authored 26 papers that have together received 304 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 epidemiological studies (3 papers), Adaptive optics and wavefront sensing (3 papers), COVID-19 and Mental Health (2 papers), SARS-CoV-2 detection and testing (2 papers), Bacterial biofilms and quorum sensing (2 papers), vaccines and immunoinformatics approaches (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Infectious Diseases (123 citations), Modeling and Simulation (20 citations), Microbiology (14 citations), Animal Science and Zoology (20 citations) and Endocrinology (7 citations). Jade Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott Hughes, Jennifer L. Rakeman, Miko Yu, Daniel Margolis, Mert R. Sabuncu, Christine Chen, Sharon Gordon, Stefanie J. Hectors, Jim C. Hu and Johnson Chen. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, International Journal for Population Data Science, Early Childhood Education Journal, Nature Communications and Antioxidants and Redox Signaling.
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.