Heather L. Greenstone
- Epidemiology top 2%
- Immunology top 5%
- Genetics top 5%
- Molecular Biology
- Ecology top 10%
- Co-authors
- John T. SchillerRichard B.S. RodenReinhard KirnbauerDouglas R. LowyFrank P. BooyMatthias DürstJeffrey W. TaubLutz Gissmann
- Topics
- Virus-based gene therapy research (9 papers)Herpesvirus Infections and Treatments (6 papers)Bacteriophages and microbial interactions (5 papers)
- Cited by
- EpidemiologyVirologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Molecular Biology
- 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
- Immunology 637
- Genetics 455
- Molecular Biology 380
- Ecology 196
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 of co-authors of Heather L. Greenstone
This figure shows the co-authorship network connecting the top 25 collaborators of Heather L. Greenstone. A scholar is included among the top collaborators of Heather L. Greenstone 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 Heather L. Greenstone. Heather L. Greenstone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 20 | |
| 3 | 58 | |
| 4 | 2 | |
| 5 | 52 | |
| 6 | 63 | |
| 7 | 47 | |
| 8 | 41 | |
| 9 | 59 | |
| 10 | 57 | |
| 11 | 285 | |
| 12 | 158 | |
| 13 | 12 | |
| 14 | 235 | |
| 15 | Efficient self-assembly of human papillomavirus type 16 L1 and L1-L2 into virus-like particlesbreakdown → | 504 |
| 16 | 66 | |
| 17 | 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) and Bacteriophages and microbial interactions (5 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.