Peter V. Markov
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Hepatitis C virus research 6
-
- SARS-CoV-2 and COVID-19 Research 5
- Viral Infections and Vectors 2
- COVID-19 Clinical Research Studies 1
- Co-authors
- Nikolaos I. Stilianakis (6 shared papers)Aris Katzourakis (2 shared papers)Katrina Lythgoe (1 shared paper)Peter Simmonds (1 shared paper)Martin Beer (1 shared paper)Mahan Ghafari (1 shared paper)Oliver George Pybus (8 shared papers)Isabelle Sheridan (1 shared paper)
- Journals
- Journal of Virology (2 papers)Nature Reviews Microbiology (2 papers)F1000Research (2 papers)Journal of General Virology (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Peter V. Markov
15 papers receiving 1.3k citations
Peter V. Markov's Hit Papers
Peers
Comparison fields: 5 of 107
- Hepatology 346
- Infectious Diseases 619
- Modeling and Simulation 100
- Epidemiology 334
- Animal Science and Zoology 75
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 | The evolution of SARS-CoV-2 Hit paper breakdown → | 2023 | 743 |
| 2 | 2008 | 192 | |
| 3 | 2022 | 94 | |
| 4 | 2009 | 82 | |
| 5 | 2007 | 61 | |
| 6 | 2012 | 48 | |
| 7 | 2015 | 13 | |
| 8 | 2013 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2014 | 3 | |
| 13 | 2024 | 2 | |
| 14 | The adaptation of chronic viral infections to human genetic diversity | 2011 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Peter V. Markov
Peter V. Markov is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Vectors (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Hepatology (346 citations), Infectious Diseases (619 citations), Modeling and Simulation (100 citations), Epidemiology (334 citations) and Animal Science and Zoology (75 citations). Peter V. Markov has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Nikolaos I. Stilianakis, Aris Katzourakis, Katrina Lythgoe, Peter Simmonds, Martin Beer, Mahan Ghafari, Oliver George Pybus, Isabelle Sheridan, Bounkong Syhavong and Paul Klenerman. Their work appears in journals such as Journal of Virology, Nature Reviews Microbiology, F1000Research, Journal of General Virology and Journal of The Royal Society Interface.
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.