Heather L. Greenstone
- Epidemiology top 2%
- Herpesvirus Infections and Treatments 6
- Cervical Cancer and HPV Research 5
- Cytomegalovirus and herpesvirus research 3
- Virology top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 2
- Structural Biology top 5%
- Genetics top 5%
- Virus-based gene therapy research 9
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- Bacteriophages and microbial interactions 5
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- Animal Virus Infections Studies 3
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- Protein Structure and Dynamics 2
- Co-authors
- John T. SchillerRichard B.S. RodenReinhard KirnbauerDouglas R. LowyFrank P. BooyMatthias DürstJeffrey W. TaubLutz Gissmann
- Cited by
- EpidemiologyVirologyImmunology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Heather L. Greenstone
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Epidemiology 1.1k
- Virology 150
- Immunology 637
- Structural Biology 30
- Genetics 455
Countries citing papers authored by Heather L. Greenstone
This map shows the geographic impact of Heather L. Greenstone'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 Heather L. Greenstone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather L. Greenstone more than expected).
Fields of papers citing papers by Heather L. Greenstone
This network shows the impact of papers produced by Heather L. Greenstone. 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 Heather L. Greenstone. The network helps show where Heather L. Greenstone may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heather L. Greenstone, 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 | 2007 | 8 | |
| 2 | 2005 | 20 | |
| 3 | 2003 | 58 | |
| 4 | 2003 | 2 | |
| 5 | 2002 | 52 | |
| 6 | 2002 | 63 | |
| 7 | 2001 | 47 | |
| 8 | 1999 | 41 | |
| 9 | 1998 | 59 | |
| 10 | 1998 | 57 | |
| 11 | 1998 | 285 | |
| 12 | 1997 | 158 | |
| 13 | 1997 | 12 | |
| 14 | 1996 | 235 | |
| 15 | Efficient self-assembly of human papillomavirus type 16 L1 and L1-L2 into virus-like particlesbreakdown → | 1993 | 504 |
| 16 | 1992 | 66 | |
| 17 | 1990 | 20 |
About Heather L. Greenstone
Heather L. Greenstone is a scholar working on Genetics, Epidemiology and Animal Science and Zoology, having authored 17 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Herpesvirus Infections and Treatments (6 papers), Bacteriophages and microbial interactions (5 papers), Cervical Cancer and HPV Research (5 papers), Cytomegalovirus and herpesvirus research (3 papers), Animal Virus Infections Studies (3 papers), Protein Structure and Dynamics (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Epidemiology (1.1k citations), Virology (150 citations) and Immunology (637 citations). Heather L. Greenstone has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include John T. Schiller, Richard B.S. Roden, Reinhard Kirnbauer, Douglas R. Lowy, Frank P. Booy, Matthias Dürst, Jeffrey W. Taub, Lutz Gissmann, W. Martin Kast and Marloes L. H. De Bruijn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.
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.