Gail Matthews
- Epidemiology top 0.5%
- Hepatology top 0.1%
- Infectious Diseases top 0.5%
- Neurology top 2%
- Virology top 1%
- Co-authors
- Gregory J. DoreJason GrebelyMarianne MartinelloAndrew R. LloydMark NelsonMargaret HellardMark DantaSharon R. Lewin
- Topics
- Hepatitis C virus research (169 papers)Hepatitis B Virus Studies (113 papers)Liver Disease Diagnosis and Treatment (91 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodNature Immunology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Gail Matthews
212 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Epidemiology 3.8k
- Hepatology 3.7k
- Infectious Diseases 2.2k
- Neurology 508
- Virology 474
Countries citing papers authored by Gail Matthews
This map shows the geographic impact of Gail Matthews'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 Gail Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Matthews more than expected).
Fields of papers citing papers by Gail Matthews
This network shows the impact of papers produced by Gail Matthews. 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 Gail Matthews. The network helps show where Gail Matthews may publish in the future.
Co-authorship network of co-authors of Gail Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of Gail Matthews. A scholar is included among the top collaborators of Gail Matthews 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 Gail Matthews. Gail Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | Immunological dysfunction persists for 8 months following initial mild-to-moderate SARS-CoV-2 infectionbreakdown → | 584 |
| 14 | 8 | |
| 15 | 12 | |
| 16 | Prevalence and Disease Burden of HCV Coinfection in HIV Cohorts in the Asia Pacific Region: A Systematic Review and Meta-Analysis. | 21 |
| 17 | 13 | |
| 18 | 3 | |
| 19 | Short duration response-guided treatment is effective for most individuals with recent hepatitis C infection: the ATAHC II Study | 1 |
| 20 | 115 |
About Gail Matthews
Gail Matthews is a scholar working on Hepatology, Epidemiology and Infectious Diseases, having authored 219 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (169 papers), Hepatitis B Virus Studies (113 papers) and Liver Disease Diagnosis and Treatment (91 papers). The work is most often cited by research in Hepatology (3.7k citations), Infectious Diseases (2.2k citations) and Epidemiology (3.8k citations). Gail Matthews has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Gregory J. Dore, Jason Grebely, Marianne Martinello, Andrew R. Lloyd, Mark Nelson, Margaret Hellard, Mark Danta, Sharon R. Lewin, Behzad Hajarizadeh and John Kaldor. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Nature Immunology.
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.