Michael D. Power
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment
Papers in
- Virology 7
- HIV Research and Treatment 7
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- Paul A. Luciw (7 shared papers)Philip J. Barr (8 shared papers)Frank R. Masiarz (1 shared paper)Tyler Jacks (1 shared paper)Harold Varmus (1 shared paper)M. D. Carman (1 shared paper)Sjoerd G. van Duinen (1 shared paper)Ivan Lieberburg (1 shared paper)
- Journals
- Science (3 papers)Virology (3 papers)Nature Biotechnology (1 paper)Journal of Virology (1 paper)Gene (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Michael D. Power
14 papers receiving 3.0k citations
Michael D. Power's Hit Papers
Peers
Comparison fields: 5 of 93
- Virology 1.2k
- Infectious Diseases 724
- Physiology 973
- Immunology 506
- Molecular Biology 1.5k
Countries citing papers authored by Michael D. Power
This map shows the geographic impact of Michael D. Power'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 D. Power with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Power more than expected).
Fields of papers citing papers by Michael D. Power
This network shows the impact of papers produced by Michael D. Power. 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 D. Power. The network helps show where Michael D. Power may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Power, 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 | Mutation of the Alzheimer's Disease Amyloid Gene in Hereditary Cerebral Hemorrhage, Dutch Type Hit paper breakdown → | 1990 | 1142 |
| 2 | Characterization of ribosomal frameshifting in HIV-1 gag-pol expression Hit paper breakdown → | 1988 | 794 |
| 3 | Nucleotide Sequence and Expression of an AIDS-Associated Retrovirus (ARV-2) Hit paper breakdown → | 1985 | 649 |
| 4 | 1986 | 173 | |
| 5 | 1987 | 110 | |
| 6 | 1986 | 99 | |
| 7 | 1990 | 86 | |
| 8 | 1987 | 57 | |
| 9 | 1996 | 32 | |
| 10 | 1990 | 23 | |
| 11 | 1988 | 20 | |
| 12 | 2023 | 4 | |
| 13 | 1989 | 2 | |
| 14 | 2021 | 1 | |
| 15 | Bayesian Model Averaging Sufficient Dimension Reduction | 2020 | 0 |
About Michael D. Power
Michael D. Power is a scholar working on Virology, Molecular Biology, Epidemiology, Infectious Diseases and Oncology, having authored 15 papers that have together received 3.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), HIV/AIDS drug development and treatment (3 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers), T-cell and Retrovirus Studies (2 papers), Statistical Methods and Inference (2 papers), RNA and protein synthesis mechanisms (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (724 citations), Physiology (973 citations), Immunology (506 citations) and Molecular Biology (1.5k citations). Michael D. Power has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Paul A. Luciw, Philip J. Barr, Frank R. Masiarz, Tyler Jacks, Harold Varmus, M. D. Carman, Sjoerd G. van Duinen, Ivan Lieberburg, Blas Frangione and G. Th. A. M. Bots. Their work appears in journals such as Science, Virology, Nature Biotechnology, Journal of Virology and Gene.
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.