Michael D. Power
- Virology top 0.5%
- HIV Research and Treatment 7
- Infectious Diseases top 2%
- HIV/AIDS drug development and treatment 3
- Physiology top 2%
- Immunology top 5%
- T-cell and Retrovirus Studies 2
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 2
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- Herpesvirus Infections and Treatments 3
- Cytomegalovirus and herpesvirus research 2
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- Statistical Methods and Inference 2
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- Viral Infections and Immunology Research 1
- Co-authors
- Paul A. LuciwPhilip J. BarrFrank R. MasiarzTyler JacksHarold VarmusW LuyendijkSjoerd G. van DuinenIvan Fernandez‐Madrid
- Partner nations
- United States
In The Last Decade
Michael D. Power
14 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Virology 1.1k
- Infectious Diseases 703
- Physiology 914
- Immunology 485
- Molecular Biology 1.4k
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-authorship network
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 | 2023 | 3 | |
| 2 | 2021 | 1 | |
| 3 | Bayesian Model Averaging Sufficient Dimension Reduction | 2020 | 0 |
| 4 | 1996 | 31 | |
| 5 | 1990 | 23 | |
| 6 | 1990 | 78 | |
| 7 | Mutation of the Alzheimer's Disease Amyloid Gene in Hereditary Cerebral Hemorrhage, Dutch Typebreakdown → | 1990 | 1044 |
| 8 | 1989 | 2 | |
| 9 | Characterization of ribosomal frameshifting in HIV-1 gag-pol expressionbreakdown → | 1988 | 750 |
| 10 | 1988 | 18 | |
| 11 | 1987 | 100 | |
| 12 | 1987 | 54 | |
| 13 | 1986 | 98 | |
| 14 | 1986 | 165 | |
| 15 | Nucleotide Sequence and Expression of an AIDS-Associated Retrovirus (ARV-2)breakdown → | 1985 | 629 |
About Michael D. Power
Michael D. Power is a scholar working on Virology, Statistics and Probability, Infectious Diseases, Epidemiology and Agronomy and Crop Science, having authored 15 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Herpesvirus Infections and Treatments (3 papers), HIV/AIDS drug development and treatment (3 papers), T-cell and Retrovirus Studies (2 papers), Statistical Methods and Inference (2 papers), Cytomegalovirus and herpesvirus research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (703 citations), Physiology (914 citations), Immunology (485 citations) and Molecular Biology (1.4k citations). Michael D. Power has collaborated with scholars based in United States. Frequent co-authors include Paul A. Luciw, Philip J. Barr, Frank R. Masiarz, Tyler Jacks, Harold Varmus, W Luyendijk, Sjoerd G. van Duinen, Ivan Fernandez‐Madrid, G. Th. A. M. Bots and Blas Frangione. Their work appears in journals such as Science, Virology, Nature Biotechnology, Gene and The EMBO Journal.
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.