Jane McAllister
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- RNA Research and Splicing 4
- Retinoids in leukemia and cellular processes 3
- Receptor Mechanisms and Signaling 3
-
- Viral Infections and Vectors 5
- Co-authors
- Peter Simmonds (5 shared papers)Donald B. Smith (5 shared papers)John P. Quinn (10 shared papers)Christine F. Morrison (8 shared papers)J. Power (4 shared papers)P.L. Yap (4 shared papers)Emer Lawlor (3 shared papers)Fiona Davidson (3 shared papers)
- Journals
- Neuroscience (2 papers)PLoS ONE (2 papers)Vox Sanguinis (2 papers)Journal of General Virology (2 papers)Journal of Clinical Microbiology (1 paper)
- Partner nations
- United KingdomAustraliaIreland
In The Last Decade
Jane McAllister
24 papers receiving 589 citations
Peers
Comparison fields: 5 of 64
- Hepatology 192
- Virology 47
- Cellular and Molecular Neuroscience 125
- Infectious Diseases 93
- Epidemiology 160
Countries citing papers authored by Jane McAllister
This map shows the geographic impact of Jane McAllister'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 Jane McAllister with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane McAllister more than expected).
Fields of papers citing papers by Jane McAllister
This network shows the impact of papers produced by Jane McAllister. 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 Jane McAllister. The network helps show where Jane McAllister may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane McAllister, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 169 | |
| 2 | 1998 | 97 | |
| 3 | 1995 | 33 | |
| 4 | 1994 | 28 | |
| 5 | 1995 | 27 | |
| 6 | 1995 | 24 | |
| 7 | 1999 | 23 | |
| 8 | 1999 | 22 | |
| 9 | 1994 | 22 | |
| 10 | 2015 | 20 | |
| 11 | 1999 | 18 | |
| 12 | 1995 | 18 | |
| 13 | 2010 | 17 | |
| 14 | 1995 | 15 | |
| 15 | 1993 | 14 | |
| 16 | 2010 | 14 | |
| 17 | 1995 | 12 | |
| 18 | 2014 | 9 | |
| 19 | 2017 | 7 | |
| 20 | 2015 | 3 |
About Jane McAllister
Jane McAllister is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Genetics and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 598 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Mosquito-borne diseases and control (5 papers), Hepatitis C virus research (4 papers), RNA Research and Splicing (4 papers), Hepatitis B Virus Studies (3 papers), Vector-Borne Animal Diseases (3 papers), Retinoids in leukemia and cellular processes (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Hepatology (192 citations), Virology (47 citations), Cellular and Molecular Neuroscience (125 citations), Infectious Diseases (93 citations) and Epidemiology (160 citations). Jane McAllister has collaborated with scholars based in United Kingdom, Australia and Ireland. Frequent co-authors include Peter Simmonds, Donald B. Smith, John P. Quinn, Christine F. Morrison, J. Power, P.L. Yap, Emer Lawlor, Fiona Davidson, P.K. Mulderry and Aneta J. Gubala. Their work appears in journals such as Neuroscience, PLoS ONE, Vox Sanguinis, Journal of General Virology and Journal of Clinical Microbiology.
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.