Marcus Daniels
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 18
- HIV Research and Treatment 18
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- HIV/AIDS drug development and treatment 9
- HIV/AIDS Research and Interventions 6
- Co-authors
- Bette Korber (17 shared papers)Tanmoy Bhattacharya (13 shared papers)Alan S. Lapedes (5 shared papers)John R. Mascola (3 shared papers)David C. Montefiori (5 shared papers)Giulia Iori (4 shared papers)Michael S. Seaman (4 shared papers)Francine E. McCutchan (2 shared papers)
- Journals
- Journal of Virology (5 papers)PLoS Pathogens (4 papers)Virology (2 papers)Journal of Computational Chemistry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Marcus Daniels
24 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Virology 1.4k
- Infectious Diseases 578
- Immunology 614
- Hepatology 164
- Finance 105
Countries citing papers authored by Marcus Daniels
This map shows the geographic impact of Marcus Daniels'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 Marcus Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Daniels more than expected).
Fields of papers citing papers by Marcus Daniels
This network shows the impact of papers produced by Marcus Daniels. 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 Marcus Daniels. The network helps show where Marcus Daniels may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcus Daniels, 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 | 2009 | 450 | |
| 2 | 2009 | 242 | |
| 3 | 2007 | 187 | |
| 4 | 2009 | 136 | |
| 5 | 2007 | 130 | |
| 6 | 2003 | 116 | |
| 7 | 2019 | 90 | |
| 8 | 2007 | 81 | |
| 9 | 2007 | 76 | |
| 10 | 2005 | 73 | |
| 11 | 2009 | 68 | |
| 12 | 2010 | 61 | |
| 13 | 2006 | 58 | |
| 14 | 2012 | 37 | |
| 15 | 2011 | 35 | |
| 16 | 2010 | 26 | |
| 17 | 2003 | 20 | |
| 18 | 2009 | 17 | |
| 19 | 2011 | 17 | |
| 20 | 2010 | 14 |
About Marcus Daniels
Marcus Daniels is a scholar working on Virology, Infectious Diseases, Molecular Biology, Economics and Econometrics and Immunology, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (18 papers), HIV/AIDS drug development and treatment (9 papers), HIV/AIDS Research and Interventions (6 papers), vaccines and immunoinformatics approaches (4 papers), Hepatitis C virus research (3 papers), Complex Systems and Time Series Analysis (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (578 citations), Immunology (614 citations), Hepatology (164 citations) and Finance (105 citations). Marcus Daniels has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bette Korber, Tanmoy Bhattacharya, Alan S. Lapedes, John R. Mascola, David C. Montefiori, Giulia Iori, Michael S. Seaman, Francine E. McCutchan, László Gillemot and Victoria R. Polonis. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Virology, Journal of Computational Chemistry and PLoS Computational Biology.
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.