Patricia M. Day
- Immunology top 1%
- Immunotherapy and Immune Responses 10
- interferon and immune responses 5
- Epidemiology top 0.5%
- Cervical Cancer and HPV Research 26
- Herpesvirus Infections and Treatments 11
- Hepatitis B Virus Studies 10
- Microbiology top 1%
- Virology top 2%
- Poxvirus research and outbreaks 7
- Genetics top 1%
- Virus-based gene therapy research 21
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- Proteoglycans and glycosaminoglycans research 5
- Co-authors
- John T. SchillerDouglas R. LowyCynthia D. ThompsonRhonda C. KinesChristopher B. BuckRichard B.S. RodenMario SchelhaasYuk‐Ying S. Pang
- Cited by
- ImmunologyEpidemiologyMicrobiology
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Patricia M. Day
55 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 109
- Immunology 1.8k
- Epidemiology 2.8k
- Microbiology 420
- Virology 320
- Genetics 1.2k
Countries citing papers authored by Patricia M. Day
This map shows the geographic impact of Patricia M. Day'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 Patricia M. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia M. Day more than expected).
Fields of papers citing papers by Patricia M. Day
This network shows the impact of papers produced by Patricia M. Day. 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 Patricia M. Day. The network helps show where Patricia M. Day may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patricia M. Day, 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 | 2022 | 10 | |
| 2 | 2015 | 16 | |
| 3 | 2014 | 55 | |
| 4 | 2014 | 22 | |
| 5 | 2013 | 66 | |
| 6 | 2013 | 172 | |
| 7 | 2012 | 106 | |
| 8 | 2012 | 74 | |
| 9 | 2012 | 37 | |
| 10 | 2010 | 122 | |
| 11 | 2010 | 61 | |
| 12 | 2009 | 61 | |
| 13 | 2009 | 18 | |
| 14 | 2008 | 185 | |
| 15 | 2003 | 69 | |
| 16 | 2002 | 111 | |
| 17 | 2001 | 214 | |
| 18 | 2000 | 77 | |
| 19 | 1993 | 5 | |
| 20 | 1989 | 8 |
About Patricia M. Day
Patricia M. Day is a scholar working on Virology, Immunology and Epidemiology, having authored 56 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (26 papers), Virus-based gene therapy research (21 papers), Herpesvirus Infections and Treatments (11 papers), Immunotherapy and Immune Responses (10 papers), Hepatitis B Virus Studies (10 papers), Poxvirus research and outbreaks (7 papers), interferon and immune responses (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Immunology (1.8k citations), Epidemiology (2.8k citations) and Microbiology (420 citations). Patricia M. Day has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John T. Schiller, Douglas R. Lowy, Cynthia D. Thompson, Rhonda C. Kines, Christopher B. Buck, Richard B.S. Roden, Mario Schelhaas, Yuk‐Ying S. Pang, Rebecca M. Richards and Ari Helenius. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.