David Booth
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Hepatology 20
- Hepatitis C virus research 20
- Epidemiology 13
- Hepatitis B Virus Studies 10
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- Jacob George (15 shared papers)Golo Ahlenstiel (13 shared papers)Vijayaprakash Suppiah (8 shared papers)Graeme J. Stewart (7 shared papers)Gregory J. Dore (3 shared papers)Thomas Berg (3 shared papers)Martin Weltman (5 shared papers)Maria Lorena Abate (3 shared papers)
- Journals
- Hepatology (3 papers)Australian Dental Journal (3 papers)Nature Genetics (2 papers)Journal of Hepatology (2 papers)QJM (2 papers)
- Partner nations
- AustraliaUnited KingdomItaly
In The Last Decade
David Booth
35 papers receiving 2.8k citations
David Booth's Hit Papers
Peers
Comparison fields: 5 of 104
- Hepatology 1.8k
- Epidemiology 1.5k
- Rheumatology 473
- Immunology 658
- Virology 87
Countries citing papers authored by David Booth
This map shows the geographic impact of David Booth'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 David Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Booth more than expected).
Fields of papers citing papers by David Booth
This network shows the impact of papers produced by David Booth. 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 David Booth. The network helps show where David Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside David Booth, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | IL28B is associated with response to chronic hepatitis C interferon-α and ribavirin therapy Hit paper breakdown → | 2009 | 1460 |
| 2 | 2007 | 188 | |
| 3 | 1997 | 148 | |
| 4 | 2010 | 138 | |
| 5 | 2000 | 138 | |
| 6 | 2010 | 115 | |
| 7 | 1998 | 90 | |
| 8 | 2012 | 66 | |
| 9 | 2011 | 56 | |
| 10 | 2019 | 51 | |
| 11 | 1999 | 51 | |
| 12 | 2017 | 50 | |
| 13 | 2010 | 42 | |
| 14 | 2013 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2002 | 29 | |
| 17 | 2012 | 26 | |
| 18 | 2002 | 23 | |
| 19 | 1974 | 23 | |
| 20 | 1975 | 22 |
About David Booth
David Booth is a scholar working on Hepatology, Epidemiology, Immunology, Molecular Biology and Rheumatology, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (20 papers), Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Immune Cell Function and Interaction (8 papers), Systemic Lupus Erythematosus Research (6 papers), Inflammasome and immune disorders (4 papers), Viral Infections and Immunology Research (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Hepatology (1.8k citations), Epidemiology (1.5k citations), Rheumatology (473 citations), Immunology (658 citations) and Virology (87 citations). David Booth has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include Jacob George, Golo Ahlenstiel, Vijayaprakash Suppiah, Graeme J. Stewart, Gregory J. Dore, Thomas Berg, Martin Weltman, Maria Lorena Abate, Ulrich Spengler and Tobias Müller. Their work appears in journals such as Hepatology, Australian Dental Journal, Nature Genetics, Journal of Hepatology and QJM.
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.