Flossie Wong‐Staal
- Virology top 0.01%
- Immunology top 0.05%
- Molecular Biology top 0.2%
- Infectious Diseases top 0.05%
- Epidemiology top 0.1%
- Co-authors
- Robert C. GalloSteven F. JosephsSuresh K. AryaBeatrice H. HahnGeorge M. ShawS. Zaki SalahuddinLee RatnerGenoveffa Franchini
- Topics
- T-cell and Retrovirus Studies (140 papers)Animal Disease Management and Epidemiology (105 papers)HIV Research and Treatment (104 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Flossie Wong‐Staal
349 papers receiving 32.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Virology 14.6k
- Immunology 12.3k
- Molecular Biology 11.7k
- Infectious Diseases 8.5k
- Epidemiology 7.1k
Countries citing papers authored by Flossie Wong‐Staal
This map shows the geographic impact of Flossie Wong‐Staal'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 Flossie Wong‐Staal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flossie Wong‐Staal more than expected).
Fields of papers citing papers by Flossie Wong‐Staal
This network shows the impact of papers produced by Flossie Wong‐Staal. 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 Flossie Wong‐Staal. The network helps show where Flossie Wong‐Staal may publish in the future.
Co-authorship network of co-authors of Flossie Wong‐Staal
This figure shows the co-authorship network connecting the top 25 collaborators of Flossie Wong‐Staal. A scholar is included among the top collaborators of Flossie Wong‐Staal 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 Flossie Wong‐Staal. Flossie Wong‐Staal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Scavenger receptor B-I antagonist ITX5061 modulates early HCV kinetics in patients undergoing liver transplantation: results of a phase Ib clinical trial | 1 |
| 2 | 60 | |
| 3 | 12 | |
| 4 | Orphan G-protein coupled receptor GPCR-X as a novel cancer drug target: validation and mechanistic studies | 1 |
| 5 | 32 | |
| 6 | Integrated approaches to therapeutic target gene discovery. | 2 |
| 7 | 23 | |
| 8 | 28 | |
| 9 | Genetic structure and regulation of HIV | 28 |
| 10 | 82 | |
| 11 | 6 | |
| 12 | 35 | |
| 13 | 32 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 92 | |
| 17 | 41 | |
| 18 | 314 | |
| 19 | 27 | |
| 20 | 4 |
About Flossie Wong‐Staal
Flossie Wong‐Staal is a scholar working on Virology, Agronomy and Crop Science and Immunology, having authored 354 papers that have together received 34.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (140 papers), Animal Disease Management and Epidemiology (105 papers) and HIV Research and Treatment (104 papers). The work is most often cited by research in Virology (14.6k citations), Immunology (12.3k citations) and Agronomy and Crop Science (5.1k citations). Flossie Wong‐Staal has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Robert C. Gallo, Steven F. Josephs, Suresh K. Arya, Beatrice H. Hahn, George M. Shaw, S. Zaki Salahuddin, Lee Ratner, Genoveffa Franchini, Mark B. Feinberg and William A. Haseltine. Their work appears in journals such as Nature, Science and New England Journal of 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.