Peter V. Markov
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
-
- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 4
- Cytomegalovirus and herpesvirus research 1
-
- Hepatitis C virus research 6
- Co-authors
- Oliver G. Pybus (8 shared papers)Philippe Lemey (1 shared paper)Bounkong Syhavong (1 shared paper)Isabelle Sheridan (1 shared paper)Paul Klenerman (1 shared paper)Andrew J. Tatem (1 shared paper)Eleanor Barnes (1 shared paper)Ling Lü (1 shared paper)
- Journals
- Journal of Virology (2 papers)Infection Genetics and Evolution (1 paper)Immunology (1 paper)International Journal for Parasitology (1 paper)Journal of General Virology (1 paper)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Peter V. Markov
10 papers receiving 377 citations
Peers
Comparison fields: 5 of 44
- Hepatology 325
- Epidemiology 315
- Virology 27
- Infectious Diseases 49
- Modeling and Simulation 8
Countries citing papers authored by Peter V. Markov
This map shows the geographic impact of Peter V. Markov'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 V. Markov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter V. Markov more than expected).
Fields of papers citing papers by Peter V. Markov
This network shows the impact of papers produced by Peter V. Markov. 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 V. Markov. The network helps show where Peter V. Markov may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter V. Markov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 177 | |
| 2 | 2009 | 76 | |
| 3 | 2007 | 56 | |
| 4 | 2012 | 41 | |
| 5 | 2015 | 13 | |
| 6 | 2013 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2014 | 3 | |
| 10 | The adaptation of chronic viral infections to human genetic diversity | 2011 | 1 |
About Peter V. Markov
Peter V. Markov is a scholar working on Epidemiology, Hepatology, Public Health, Environmental and Occupational Health, Infectious Diseases and Virology, having authored 10 papers that have together received 389 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), COVID-19 epidemiological studies (1 paper), Cytomegalovirus and herpesvirus research (1 paper), HIV Research and Treatment (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Hepatology (325 citations), Epidemiology (315 citations), Virology (27 citations), Infectious Diseases (49 citations) and Modeling and Simulation (8 citations). Peter V. Markov has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Oliver G. Pybus, Philippe Lemey, Bounkong Syhavong, Isabelle Sheridan, Paul Klenerman, Andrew J. Tatem, Eleanor Barnes, Ling Lü, Anna M. Wu and Paul N. Newton. Their work appears in journals such as Journal of Virology, Infection Genetics and Evolution, Immunology, International Journal for Parasitology and Journal of General Virology.
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.