Mary-Ellen Davies
- Virology top 1%
- HIV Research and Treatment 12
- Immunology top 5%
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
- Epidemiology top 5%
- Herpesvirus Infections and Treatments 3
- Infectious Diseases top 5%
- Hepatology top 10%
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- Virus-based gene therapy research 5
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- vaccines and immunoinformatics approaches 3
- RNA Interference and Gene Delivery 3
- Co-authors
- John W. ShiverHelen C. PerryDaniel C. FreedNorman L. LetvinMargaret A. LiuTong‐Ming FuEmilio A. EminiDanilo R. Casimiro
- Cited by
- VirologyImmunologyEpidemiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (2 papers)Journal of Virology (5 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Mary-Ellen Davies
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 64
- Virology 540
- Immunology 772
- Epidemiology 589
- Infectious Diseases 314
- Hepatology 92
Countries citing papers authored by Mary-Ellen Davies
This map shows the geographic impact of Mary-Ellen Davies'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 Mary-Ellen Davies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary-Ellen Davies more than expected).
Fields of papers citing papers by Mary-Ellen Davies
This network shows the impact of papers produced by Mary-Ellen Davies. 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 Mary-Ellen Davies. The network helps show where Mary-Ellen Davies may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary-Ellen Davies, 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 | 2015 | 0 | |
| 2 | 2008 | 1 | |
| 3 | 2008 | 15 | |
| 4 | 2008 | 65 | |
| 5 | 2007 | 34 | |
| 6 | 2005 | 37 | |
| 7 | 2004 | 275 | |
| 8 | 2004 | 9 | |
| 9 | 2004 | 64 | |
| 10 | 2004 | 81 | |
| 11 | 2003 | 63 | |
| 12 | 2002 | 131 | |
| 13 | 2002 | 23 | |
| 14 | 2002 | 83 | |
| 15 | 2002 | 34 | |
| 16 | 1998 | 127 | |
| 17 | 1997 | 256 | |
| 18 | 1996 | 38 | |
| 19 | 1995 | 48 | |
| 20 | 1983 | 8 |
About Mary-Ellen Davies
Mary-Ellen Davies is a scholar working on Virology, Immunology and Infectious Diseases, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (7 papers), Virus-based gene therapy research (5 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), vaccines and immunoinformatics approaches (3 papers), Herpesvirus Infections and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Virology (540 citations), Immunology (772 citations) and Epidemiology (589 citations). Mary-Ellen Davies has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include John W. Shiver, Helen C. Perry, Daniel C. Freed, Norman L. Letvin, Margaret A. Liu, Tong‐Ming Fu, Emilio A. Emini, Danilo R. Casimiro, Michael Chastain and Dan H. Barouch. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.
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.