Ryan G. Casner
Impact in
- Infectious Diseases top 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 10%
- Animal Virus Infections Studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 2
- Viral gastroenteritis research and epidemiology 2
- SARS-CoV-2 detection and testing 1
-
- Photosynthetic Processes and Mechanisms 1
- Bacillus and Francisella bacterial research 1
- Co-authors
- David D. Ho (4 shared papers)Lihong Liu (3 shared papers)Yaoxing Huang (4 shared papers)Manoj S. Nair (4 shared papers)Lawrence Shapiro (4 shared papers)Jian Yu (4 shared papers)Maple Wang (2 shared papers)Gabriele Cerutti (2 shared papers)
- Journals
- Nature Communications (2 papers)Emerging Microbes & Infections (1 paper)Immunity (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Ryan G. Casner
5 papers receiving 447 citations
Ryan G. Casner's Hit Papers
Peers
Comparison fields: 5 of 71
- Infectious Diseases 388
- Animal Science and Zoology 67
- Modeling and Simulation 20
- Health 26
- Structural Biology 4
Countries citing papers authored by Ryan G. Casner
This map shows the geographic impact of Ryan G. Casner'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 Ryan G. Casner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan G. Casner more than expected).
Fields of papers citing papers by Ryan G. Casner
This network shows the impact of papers produced by Ryan G. Casner. 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 Ryan G. Casner. The network helps show where Ryan G. Casner may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan G. Casner, 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 | Increased resistance of SARS-CoV-2 variant P.1 to antibody neutralization Hit paper breakdown → | 2021 | 390 |
| 2 | 2021 | 26 | |
| 3 | 2019 | 25 | |
| 4 | 2023 | 12 | |
| 5 | 2025 | 2 |
About Ryan G. Casner
Ryan G. Casner is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Animal Science and Zoology and Physiology, having authored 5 papers that have together received 455 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Bacillus and Francisella bacterial research (1 paper), SARS-CoV-2 detection and testing (1 paper), Magnetic and Electromagnetic Effects (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Infectious Diseases (388 citations), Animal Science and Zoology (67 citations), Modeling and Simulation (20 citations), Health (26 citations) and Structural Biology (4 citations). Ryan G. Casner has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David D. Ho, Lihong Liu, Yaoxing Huang, Manoj S. Nair, Lawrence Shapiro, Jian Yu, Maple Wang, Gabriele Cerutti, Pengfei Wang and Peter D. Kwong. Their work appears in journals such as Nature Communications, Emerging Microbes & Infections, Immunity and Cell Host & Microbe.
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.