William G. Powderly
- Infectious Diseases top 0.02%
- Epidemiology top 0.05%
- Virology top 0.1%
- Emergency Medicine top 0.05%
- Molecular Biology top 10%
- Co-authors
- William E. DismukesRobert A. LarsenRichard J. HamillJack D. SobelMichael S. SaagPablo TebasKevin E. YarasheskiJohn R. Perfect
- Topics
- HIV/AIDS drug development and treatment (86 papers)Antifungal resistance and susceptibility (71 papers)HIV-related health complications and treatments (67 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
William G. Powderly
288 papers receiving 18.6k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Infectious Diseases 13.0k
- Epidemiology 10.5k
- Virology 3.9k
- Emergency Medicine 3.5k
- Molecular Biology 1.1k
Countries citing papers authored by William G. Powderly
This map shows the geographic impact of William G. Powderly'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 William G. Powderly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Powderly more than expected).
Fields of papers citing papers by William G. Powderly
This network shows the impact of papers produced by William G. Powderly. 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 William G. Powderly. The network helps show where William G. Powderly may publish in the future.
Co-authorship network of co-authors of William G. Powderly
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Powderly. A scholar is included among the top collaborators of William G. Powderly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William G. Powderly. William G. Powderly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 16 | |
| 3 | 8 | |
| 4 | 33 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 46 | |
| 9 | 3 | |
| 10 | Clinical Practice Guidelines for the Management of Cryptococcal Disease: 2010 Update by the Infectious Diseases Society of Americabreakdown → | 1749 |
| 11 | Insulin resistance is independently associated with VAT and upper trunk SAT in controls and HIV infection | 2 |
| 12 | 238 | |
| 13 | Clinical Management of HIV Infection | 1 |
| 14 | Manual of HIV therapeutics | 4 |
| 15 | 10 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 45 | |
| 19 | 14 | |
| 20 | 15 |
About William G. Powderly
William G. Powderly is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 301 papers that have together received 19.4k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (86 papers), Antifungal resistance and susceptibility (71 papers) and HIV-related health complications and treatments (67 papers). The work is most often cited by research in Virology (3.9k citations), Infectious Diseases (13.0k citations) and Emergency Medicine (3.5k citations). William G. Powderly has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include William E. Dismukes, Robert A. Larsen, Richard J. Hamill, Jack D. Sobel, Michael S. Saag, Pablo Tebas, Kevin E. Yarasheski, John R. Perfect, John R. Graybill and Peter G. Pappas. Their work appears in journals such as Science, New England Journal of Medicine 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.