Marilyn Lewis
- Virology top 0.5%
- HIV Research and Treatment 21
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 17
- HIV/AIDS Research and Interventions 6
- Hepatology top 5%
- Hepatitis C virus research 2
- Immunology top 10%
- Immune Cell Function and Interaction 2
- Epidemiology top 10%
- Virology and Viral Diseases 6
- Cytomegalovirus and herpesvirus research 2
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- vaccines and immunoinformatics approaches 4
- Co-authors
- Mike WestbyIan JamesManos PerrosP. Richard HarriganHernán ValdezElna van der RystJulie MoriMichael Mosley
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Marilyn Lewis
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 62
- Virology 1.0k
- Infectious Diseases 803
- Hepatology 127
- Immunology 243
- Epidemiology 265
Countries citing papers authored by Marilyn Lewis
This map shows the geographic impact of Marilyn Lewis'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 Marilyn Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn Lewis more than expected).
Fields of papers citing papers by Marilyn Lewis
This network shows the impact of papers produced by Marilyn Lewis. 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 Marilyn Lewis. The network helps show where Marilyn Lewis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marilyn Lewis, 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 | First prospective comparison of genotypic versus phenotypic tropism assays in predicting virologic responses to maraviroc in a phase 3 study. | 2019 | 1 |
| 2 | 2018 | 10 | |
| 3 | 2017 | 6 | |
| 4 | 2014 | 7 | |
| 5 | 2013 | 15 | |
| 6 | 2012 | 7 | |
| 7 | 2011 | 79 | |
| 8 | 2011 | 17 | |
| 9 | 2011 | 31 | |
| 10 | 2010 | 119 | |
| 11 | 2010 | 62 | |
| 12 | 2010 | 20 | |
| 13 | 2010 | 1 | |
| 14 | 2010 | 95 | |
| 15 | 2010 | 10 | |
| 16 | Mutations within GP41 are correlated with coreceptor tropism but do not substantially improve coreceptor usage prediction | 2010 | 0 |
| 17 | 2010 | 20 | |
| 18 | 2009 | 98 | |
| 19 | 2009 | 12 | |
| 20 | 2006 | 273 |
About Marilyn Lewis
Marilyn Lewis is a scholar working on Virology, Infectious Diseases and Epidemiology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), HIV/AIDS drug development and treatment (17 papers), HIV/AIDS Research and Interventions (6 papers), Virology and Viral Diseases (6 papers), vaccines and immunoinformatics approaches (4 papers), Hepatitis C virus research (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (1.0k citations), Infectious Diseases (803 citations) and Hepatology (127 citations). Marilyn Lewis has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Mike Westby, Ian James, Manos Perros, P. Richard Harrigan, Hernán Valdez, Elna van der Ryst, Julie Mori, Michael Mosley, Giuseppe Ciaramella and Jayvant Heera. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases 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.