Peter T. Vickerman
Impact in
- Hepatology top 0.05%
- Hepatitis C virus research
- Epidemiology top 0.1%
- HIV, Drug Use, Sexual Risk
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Herpesvirus Infections and Treatments
Papers in
- Hepatology 158
- Hepatitis C virus research 156
- Epidemiology 198
- HIV, Drug Use, Sexual Risk 147
- Hepatitis B Virus Studies 40
- Liver Disease Diagnosis and Treatment 27
- Herpesvirus Infections and Treatments 14
- Co-authors
- Matthew Hickman (128 shared papers)Natasha K. Martin (80 shared papers)Louisa J Degenhardt (35 shared papers)Katy Turner (13 shared papers)Jason Grebely (42 shared papers)Sharon J. Hutchinson (28 shared papers)Jack Stone (56 shared papers)Katharine Jane Looker (12 shared papers)
- Journals
- Addiction (30 papers)International Journal of Drug Policy (28 papers)Sexually Transmitted Infections (26 papers)AIDS (21 papers)Journal of Hepatology (20 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter T. Vickerman
430 papers receiving 18.7k citations
Peter T. Vickerman's Hit Papers
Peers
Comparison fields: 5 of 179
- Hepatology 6.1k
- Epidemiology 9.1k
- Infectious Diseases 3.6k
- Virology 661
- Microbiology 514
Countries citing papers authored by Peter T. Vickerman
This map shows the geographic impact of Peter T. Vickerman'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 Peter T. Vickerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter T. Vickerman more than expected).
Fields of papers citing papers by Peter T. Vickerman
This network shows the impact of papers produced by Peter T. Vickerman. 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 Peter T. Vickerman. The network helps show where Peter T. Vickerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter T. Vickerman, 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 446 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Global prevalence of injecting drug use and sociodemographic characteristics and prevalence of HIV, HBV, and HCV in people who inject drugs: a multistage systematic review Hit paper breakdown → | 2017 | 1122 |
| 2 | Global patterns of opioid use and dependence: harms to populations, interventions, and future action Hit paper breakdown → | 2019 | 585 |
| 3 | Prevalence and burden of HCV co-infection in people living with HIV: a global systematic review and meta-analysis Hit paper breakdown → | 2016 | 568 |
| 4 | Global and Regional Estimates of Prevalent and Incident Herpes Simplex Virus Type 1 Infections in 2012 Hit paper breakdown → | 2015 | 488 |
| 5 | Accelerating the elimination of viral hepatitis: a Lancet Gastroenterology & Hepatology Commission Hit paper breakdown → | 2019 | 440 |
| 6 | MAIT cells are activated during human viral infections Hit paper breakdown → | 2016 | 424 |
| 7 | Hepatitis C virus treatment for prevention among people who inject drugs: Modeling treatment scale-up in the age of direct-acting antivirals Hit paper breakdown → | 2013 | 412 |
| 8 | Global Estimates of Prevalent and Incident Herpes Simplex Virus Type 2 Infections in 2012 Hit paper breakdown → | 2015 | 397 |
| 9 | Opiate substitution treatment and HIV transmission in people who inject drugs: systematic review and meta-analysis Hit paper breakdown → | 2012 | 392 |
| 10 | 2010 | 372 | |
| 11 | Global, regional, and country-level coverage of interventions to prevent and manage HIV and hepatitis C among people who inject drugs: a systematic review Hit paper breakdown → | 2017 | 338 |
| 12 | Advancing global health and strengthening the HIV response in the era of the Sustainable Development Goals: the International AIDS Society—Lancet Commission Hit paper breakdown → | 2018 | 302 |
| 13 | 2017 | 279 | |
| 14 | How well do discrete choice experiments predict health choices? A systematic review and meta-analysis of external validity Hit paper breakdown → | 2018 | 275 |
| 15 | 2013 | 261 | |
| 16 | 2017 | 255 | |
| 17 | 2010 | 254 | |
| 18 | 2011 | 250 | |
| 19 | 2017 | 227 | |
| 20 | 2016 | 223 |
About Peter T. Vickerman
Peter T. Vickerman is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Virology and Microbiology, having authored 446 papers that have together received 19.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (156 papers), HIV, Drug Use, Sexual Risk (147 papers), HIV/AIDS Research and Interventions (79 papers), Sex work and related issues (40 papers), Hepatitis B Virus Studies (40 papers), Liver Disease Diagnosis and Treatment (27 papers), Herpesvirus Infections and Treatments (14 papers) and Adolescent Sexual and Reproductive Health (13 papers). The work is most often cited by research in Hepatology (6.1k citations), Epidemiology (9.1k citations), Infectious Diseases (3.6k citations), Virology (661 citations) and Microbiology (514 citations). Peter T. Vickerman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Matthew Hickman, Natasha K. Martin, Louisa J Degenhardt, Katy Turner, Jason Grebely, Sharon J. Hutchinson, Jack Stone, Katharine Jane Looker, Sami L. Gottlieb and Charlotte H. Watts. Their work appears in journals such as Addiction, International Journal of Drug Policy, Sexually Transmitted Infections, AIDS and Journal of Hepatology.
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.