Michael S. Harper
Impact in
- Virology top 5%
- HIV Research and Treatment
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- interferon and immune responses
Papers in
- Virology 12
- HIV Research and Treatment 12
- Immunology 12
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 6
- interferon and immune responses 2
- T-cell and Retrovirus Studies 2
- Co-authors
- Mario L. Santiago (12 shared papers)Kejun Guo (8 shared papers)Bradley S. Barrett (8 shared papers)Eric Lee (3 shared papers)Stephanie M. Dillon (3 shared papers)Martin D. McCarter (3 shared papers)Cara C. Wilson (3 shared papers)Kathrin Gibbert (3 shared papers)
- Journals
- PLoS Pathogens (3 papers)Retrovirology (3 papers)Virology (2 papers)The Journal of Immunology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Michael S. Harper
14 papers receiving 296 citations
Peers
Comparison fields: 5 of 50
- Virology 183
- Immunology 211
- Infectious Diseases 50
- Epidemiology 64
- Hepatology 14
Countries citing papers authored by Michael S. Harper
This map shows the geographic impact of Michael S. Harper'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 Michael S. Harper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Harper more than expected).
Fields of papers citing papers by Michael S. Harper
This network shows the impact of papers produced by Michael S. Harper. 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 Michael S. Harper. The network helps show where Michael S. Harper may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael S. Harper, 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 | 67 | |
| 2 | 2016 | 54 | |
| 3 | 2017 | 26 | |
| 4 | 2017 | 25 | |
| 5 | 2021 | 20 | |
| 6 | 2013 | 19 | |
| 7 | 2014 | 16 | |
| 8 | 2012 | 16 | |
| 9 | 2014 | 14 | |
| 10 | Lymphadenopathy in HIV (HTLV-III/LAV) infected subjects: the role of virus and follicular dendritic cells. | 1988 | 14 |
| 11 | 2013 | 10 | |
| 12 | 2013 | 6 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 5 |
About Michael S. Harper
Michael S. Harper is a scholar working on Virology, Immunology, Epidemiology, Molecular Biology and Infectious Diseases, having authored 14 papers that have together received 298 indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (6 papers), Cytomegalovirus and herpesvirus research (3 papers), interferon and immune responses (2 papers), T-cell and Retrovirus Studies (2 papers), HIV-related health complications and treatments (1 paper) and HIV/AIDS Research and Interventions (1 paper). The work is most often cited by research in Virology (183 citations), Immunology (211 citations), Infectious Diseases (50 citations), Epidemiology (64 citations) and Hepatology (14 citations). Michael S. Harper has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Mario L. Santiago, Kejun Guo, Bradley S. Barrett, Eric Lee, Stephanie M. Dillon, Martin D. McCarter, Cara C. Wilson, Kathrin Gibbert, Ulf Dittmer and Kim J. Hasenkrug. Their work appears in journals such as PLoS Pathogens, Retrovirology, Virology, The Journal of Immunology and The Journal of Experimental Medicine.
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.