Amara Luckay
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Poxvirus research and outbreaks
- Infectious Diseases top 10%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- HIV/AIDS Research and Interventions
Papers in
- Virology 17
- HIV Research and Treatment 16
-
- Viral Infections and Outbreaks Research 3
- Viral Infections and Vectors 2
- Co-authors
- Preston A. Marx (8 shared papers)Cecilia Cheng‐Mayer (3 shared papers)Janet M. Harouse (1 shared paper)John P. Moore (1 shared paper)Ann Jones Hessell (1 shared paper)Dennis R. Burton (1 shared paper)Paul W.H.I. Parren (1 shared paper)David C. Montefiori (2 shared papers)
- Journals
- Journal of Virology (6 papers)Vaccine (4 papers)AIDS Research and Human Retroviruses (3 papers)Journal of Clinical Investigation (1 paper)The Lancet (1 paper)
- Partner nations
- United StatesGermanyNigeria
In The Last Decade
Amara Luckay
25 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 53
- Virology 1.3k
- Infectious Diseases 222
- Immunology 200
- Biotechnology 45
- Genetics 153
Countries citing papers authored by Amara Luckay
This map shows the geographic impact of Amara Luckay'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 Amara Luckay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amara Luckay more than expected).
Fields of papers citing papers by Amara Luckay
This network shows the impact of papers produced by Amara Luckay. 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 Amara Luckay. The network helps show where Amara Luckay may publish in the future.
Co-authors
The 25 scholars most cited alongside Amara Luckay, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 589 | |
| 2 | 2001 | 407 | |
| 3 | 2002 | 207 | |
| 4 | 2007 | 171 | |
| 5 | 2000 | 161 | |
| 6 | 2019 | 66 | |
| 7 | 2008 | 60 | |
| 8 | 2014 | 29 | |
| 9 | 2005 | 27 | |
| 10 | 2007 | 27 | |
| 11 | 2011 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2000 | 22 | |
| 14 | 2009 | 21 | |
| 15 | 2002 | 18 | |
| 16 | 2008 | 15 | |
| 17 | 2009 | 15 | |
| 18 | 2018 | 11 | |
| 19 | 2001 | 8 | |
| 20 | 2014 | 6 |
About Amara Luckay
Amara Luckay is a scholar working on Virology, Infectious Diseases, Epidemiology, Pharmaceutical Science and Genetics, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Viral Infections and Outbreaks Research (3 papers), Virology and Viral Diseases (3 papers), Virus-based gene therapy research (2 papers), Viral Infections and Vectors (2 papers), Advanced Drug Delivery Systems (1 paper), Respiratory viral infections research (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Virology (1.3k citations), Infectious Diseases (222 citations), Immunology (200 citations), Biotechnology (45 citations) and Genetics (153 citations). Amara Luckay has collaborated with scholars based in United States, Germany and Nigeria. Frequent co-authors include Preston A. Marx, Cecilia Cheng‐Mayer, Janet M. Harouse, John P. Moore, Ann Jones Hessell, Dennis R. Burton, Paul W.H.I. Parren, David C. Montefiori, John K. Rose and Sean M. Donahoe. Their work appears in journals such as Journal of Virology, Vaccine, AIDS Research and Human Retroviruses, Journal of Clinical Investigation and The Lancet.
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.