Sheryl Haggerty
- Virology top 0.2%
- Molecular Biology top 10%
- Infectious Diseases top 1%
- Genetics top 5%
- Immunology top 5%
- Co-authors
- Mario StevensonMichael BukrinskyMichael P. DempseyН. П. ШароваMichael EmermanHoward E. GendelmanTrevor L. StanwickA. G. Bukrinskaya
- Topics
- HIV Research and Treatment (9 papers)HIV/AIDS drug development and treatment (8 papers)Polyomavirus and related diseases (3 papers)
- Cited by
- VirologyInfectious DiseasesGenetics
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Sheryl Haggerty
12 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Virology 1.7k
- Molecular Biology 1.1k
- Infectious Diseases 1.1k
- Genetics 651
- Immunology 443
Countries citing papers authored by Sheryl Haggerty
This map shows the geographic impact of Sheryl Haggerty'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 Sheryl Haggerty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheryl Haggerty more than expected).
Fields of papers citing papers by Sheryl Haggerty
This network shows the impact of papers produced by Sheryl Haggerty. 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 Sheryl Haggerty. The network helps show where Sheryl Haggerty may publish in the future.
Co-authorship network of co-authors of Sheryl Haggerty
This figure shows the co-authorship network connecting the top 25 collaborators of Sheryl Haggerty. A scholar is included among the top collaborators of Sheryl Haggerty 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 Sheryl Haggerty. Sheryl Haggerty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | 27 | |
| 3 | The Vpr protein of human immunodeficiency virus type 1 influences nuclear localization of viral nucleic acids in nondividing host cells.breakdown → | 705 |
| 4 | A nuclear localization signal within HIV-1 matrix protein that governs infection of non-dividing cellsbreakdown → | 694 |
| 5 | 23 | |
| 6 | Active nuclear import of human immunodeficiency virus type 1 preintegration complexes.breakdown → | 498 |
| 7 | 21 | |
| 8 | 47 | |
| 9 | 17 | |
| 10 | 49 | |
| 11 | 177 | |
| 12 | 54 |
About Sheryl Haggerty
Sheryl Haggerty is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 12 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (8 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Virology (1.7k citations), Infectious Diseases (1.1k citations) and Genetics (651 citations). Sheryl Haggerty has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Mario Stevenson, Michael Bukrinsky, Michael P. Dempsey, Н. П. Шарова, Michael Emerman, Howard E. Gendelman, Trevor L. Stanwick, A. G. Bukrinskaya, N K Heinzinger and Vineet N. KewalRamani. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.
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.