Philip Meade
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Epidemiology 16
- Influenza Virus Research Studies 15
- Respiratory viral infections research 12
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- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
- Co-authors
- Florian Krammer (21 shared papers)Fatima Amanat (10 shared papers)Shirin Strohmeier (9 shared papers)Viviana Simon (4 shared papers)Meagan McMahon (4 shared papers)Daniel Stadlbauer (4 shared papers)Veronika Chromikova (3 shared papers)Mayce Mansour (1 shared paper)
- Journals
- Journal of Virology (4 papers)mBio (3 papers)Current Protocols in Microbiology (2 papers)Emerging Microbes & Infections (2 papers)Vaccines (2 papers)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Philip Meade
19 papers receiving 1.5k citations
Philip Meade's Hit Papers
Peers
Comparison fields: 5 of 88
- Infectious Diseases 1.2k
- Modeling and Simulation 151
- Animal Science and Zoology 117
- Immunology 229
- Epidemiology 373
Countries citing papers authored by Philip Meade
This map shows the geographic impact of Philip Meade'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 Philip Meade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Meade more than expected).
Fields of papers citing papers by Philip Meade
This network shows the impact of papers produced by Philip Meade. 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 Philip Meade. The network helps show where Philip Meade may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Meade, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust neutralizing antibodies to SARS-CoV-2 infection persist for months Hit paper breakdown → | 2020 | 648 |
| 2 | 2020 | 362 | |
| 3 | 2020 | 106 | |
| 4 | 2017 | 99 | |
| 5 | 2015 | 69 | |
| 6 | 2019 | 63 | |
| 7 | 2020 | 48 | |
| 8 | 2019 | 21 | |
| 9 | 2017 | 21 | |
| 10 | 2018 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2024 | 0 |
About Philip Meade
Philip Meade is a scholar working on Epidemiology, Infectious Diseases, Immunology, Animal Science and Zoology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Animal Virus Infections Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Animal Disease Management and Epidemiology (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Modeling and Simulation (151 citations), Animal Science and Zoology (117 citations), Immunology (229 citations) and Epidemiology (373 citations). Philip Meade has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Florian Krammer, Fatima Amanat, Shirin Strohmeier, Viviana Simon, Meagan McMahon, Daniel Stadlbauer, Veronika Chromikova, Mayce Mansour, Kimberly Stone and Adolfo Firpo. Their work appears in journals such as Journal of Virology, mBio, Current Protocols in Microbiology, Emerging Microbes & Infections and Vaccines.
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.