Elizabeth M. Dax
- Epidemiology top 10%
- Molecular Biology
- Infectious Diseases top 5%
- Physiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- John S. PartillaRobert I. GregermanRolley E. JohnsonPaul J. FudalaJerome H. JaffeWerner LangeMarco A. PiñeyroKim Wilson
- Topics
- HIV Research and Treatment (20 papers)HIV/AIDS Research and Interventions (15 papers)HIV/AIDS drug development and treatment (14 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- AustraliaUnited StatesIsrael
In The Last Decade
Elizabeth M. Dax
73 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Epidemiology 405
- Molecular Biology 383
- Infectious Diseases 343
- Physiology 314
- Public Health, Environmental and Occupational Health 263
Countries citing papers authored by Elizabeth M. Dax
This map shows the geographic impact of Elizabeth M. Dax'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 Elizabeth M. Dax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth M. Dax more than expected).
Fields of papers citing papers by Elizabeth M. Dax
This network shows the impact of papers produced by Elizabeth M. Dax. 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 Elizabeth M. Dax. The network helps show where Elizabeth M. Dax may publish in the future.
Co-authorship network of co-authors of Elizabeth M. Dax
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth M. Dax. A scholar is included among the top collaborators of Elizabeth M. Dax 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 Elizabeth M. Dax. Elizabeth M. Dax is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 4 | |
| 3 | 10 | |
| 4 | 36 | |
| 5 | 47 | |
| 6 | 4 | |
| 7 | 30 | |
| 8 | 20 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | 21 | |
| 12 | 25 | |
| 13 | 88 | |
| 14 | 163 | |
| 15 | 8 | |
| 16 | 9 | |
| 17 | 15 | |
| 18 | 24 | |
| 19 | 28 | |
| 20 | 10 |
About Elizabeth M. Dax
Elizabeth M. Dax is a scholar working on Virology, Infectious Diseases and Endocrine and Autonomic Systems, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), HIV/AIDS Research and Interventions (15 papers) and HIV/AIDS drug development and treatment (14 papers). The work is most often cited by research in Virology (250 citations), Behavioral Neuroscience (79 citations) and Infectious Diseases (343 citations). Elizabeth M. Dax has collaborated with scholars based in Australia, United States and Israel. Frequent co-authors include John S. Partilla, Robert I. Gregerman, Rolley E. Johnson, Paul J. Fudala, Jerome H. Jaffe, Werner Lange, Marco A. Piñeyro, Kim Wilson, Nancy S. Pilotte and Kim Wilson. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.