Amy E. Hulme
Impact in
- Virology top 1%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
Papers in
-
- Ion channel regulation and function 3
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- Virology 9
- HIV Research and Treatment 9
- Co-authors
- Thomas J. Hope (7 shared papers)John V. Moran (3 shared papers)Hal P. Bogerd (2 shared papers)Bryan R. Cullen (2 shared papers)Omar Perez (1 shared paper)José L. García-Pérez (1 shared paper)Heather L. Wiegand (1 shared paper)Katherine O’Shea (1 shared paper)
- Journals
- PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Virology (2 papers)Frontiers in Cellular Neuroscience (2 papers)Gene (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Amy E. Hulme
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Virology 508
- Infectious Diseases 235
- Molecular Biology 692
- Plant Science 341
- Immunology 139
Countries citing papers authored by Amy E. Hulme
This map shows the geographic impact of Amy E. Hulme'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 Amy E. Hulme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy E. Hulme more than expected).
Fields of papers citing papers by Amy E. Hulme
This network shows the impact of papers produced by Amy E. Hulme. 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 Amy E. Hulme. The network helps show where Amy E. Hulme may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy E. Hulme, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 309 | |
| 2 | 2011 | 206 | |
| 3 | 2010 | 185 | |
| 4 | 2006 | 127 | |
| 5 | 2015 | 87 | |
| 6 | 2021 | 72 | |
| 7 | 2014 | 54 | |
| 8 | 2020 | 23 | |
| 9 | 2013 | 23 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 18 | |
| 12 | 2024 | 18 | |
| 13 | 2018 | 11 | |
| 14 | 2015 | 7 | |
| 15 | 2014 | 7 | |
| 16 | 2020 | 6 | |
| 17 | 2013 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 3 |
About Amy E. Hulme
Amy E. Hulme is a scholar working on Molecular Biology, Virology, Cellular and Molecular Neuroscience, Epidemiology and Plant Science, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Ion channel regulation and function (3 papers), Chromosomal and Genetic Variations (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Virology (508 citations), Infectious Diseases (235 citations), Molecular Biology (692 citations), Plant Science (341 citations) and Immunology (139 citations). Amy E. Hulme has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Thomas J. Hope, John V. Moran, Hal P. Bogerd, Bryan R. Cullen, Omar Perez, José L. García-Pérez, Heather L. Wiegand, Katherine O’Shea, Deirdre Foley and Mirella Dottori. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Virology, Frontiers in Cellular Neuroscience and Gene.
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.