Maple Wang
Impact in
- Infectious Diseases top 0.5%
- 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 2%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 3
- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 detection and testing 2
-
- Bacillus and Francisella bacterial research 2
- Co-authors
- David D. Ho (9 shared papers)Lihong Liu (7 shared papers)Jian Yu (6 shared papers)Yaoxing Huang (7 shared papers)Zizhang Sheng (7 shared papers)Yicheng Guo (7 shared papers)Sho Iketani (4 shared papers)Manoj S. Nair (6 shared papers)
- Journals
- Nature (2 papers)Cell Reports (1 paper)Frontiers in Immunology (1 paper)Cell (1 paper)iScience (1 paper)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Maple Wang
9 papers receiving 1.9k citations
Maple Wang's Hit Papers
Peers
Comparison fields: 5 of 91
- Infectious Diseases 1.7k
- Animal Science and Zoology 224
- Modeling and Simulation 77
- Radiology, Nuclear Medicine and Imaging 202
- Health 66
Countries citing papers authored by Maple Wang
This map shows the geographic impact of Maple 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 Maple Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maple Wang more than expected).
Fields of papers citing papers by Maple Wang
This network shows the impact of papers produced by Maple 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 Maple Wang. The network helps show where Maple Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Maple 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
| # | Work | ||
|---|---|---|---|
| 1 | Alarming antibody evasion properties of rising SARS-CoV-2 BQ and XBB subvariants Hit paper breakdown → | 2022 | 511 |
| 2 | Antibody evasion properties of SARS-CoV-2 Omicron sublineages Hit paper breakdown → | 2022 | 490 |
| 3 | Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5 Hit paper breakdown → | 2022 | 452 |
| 4 | Increased resistance of SARS-CoV-2 variant P.1 to antibody neutralization Hit paper breakdown → | 2021 | 396 |
| 5 | 2021 | 43 | |
| 6 | 2021 | 26 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 |
About Maple Wang
Maple Wang is a scholar working on Infectious Diseases, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 detection and testing (2 papers), Bacillus and Francisella bacterial research (2 papers), Animal Virus Infections Studies (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Infectious Diseases (1.7k citations), Animal Science and Zoology (224 citations), Modeling and Simulation (77 citations), Radiology, Nuclear Medicine and Imaging (202 citations) and Health (66 citations). Maple Wang has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include David D. Ho, Lihong Liu, Jian Yu, Yaoxing Huang, Zizhang Sheng, Yicheng Guo, Sho Iketani, Manoj S. Nair, Harris H. Wang and Yiming Huang. Their work appears in journals such as Nature, Cell Reports, Frontiers in Immunology, Cell and iScience.
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.