Peter V. Markov

509 total citations
10 papers, 389 citations indexed

About

Peter V. Markov is a scholar working on Epidemiology, Hepatology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Peter V. Markov has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Hepatology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Peter V. Markov's work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Peter V. Markov is often cited by papers focused on Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). Peter V. Markov collaborates with scholars based in United Kingdom, Germany and France. Peter V. Markov's co-authors include Oliver G. Pybus, Isla Humphreys, Philippe Lemey, Andrew J. Tatem, Bounkong Syhavong, Eleanor Barnes, Anna M. Wu, Ling Lü, Paul N. Newton and Paul Klenerman and has published in prestigious journals such as Journal of Virology, Journal of General Virology and International Journal for Parasitology.

In The Last Decade

Peter V. Markov

10 papers receiving 377 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter V. Markov United Kingdom 7 325 315 49 27 21 10 389
Mukomolov Sl Russia 9 484 1.5× 429 1.4× 107 2.2× 29 1.1× 10 0.5× 33 527
Lian-Fu Wang United States 9 348 1.1× 319 1.0× 53 1.1× 41 1.5× 21 1.0× 13 406
J.A. McDonald United Kingdom 10 341 1.0× 356 1.1× 53 1.1× 38 1.4× 21 1.0× 12 418
M. A. Madwar Egypt 7 273 0.8× 225 0.7× 33 0.7× 9 0.3× 25 1.2× 11 346
Muriel Pellerin France 6 363 1.1× 281 0.9× 53 1.1× 48 1.8× 89 4.2× 6 401
Melanie R. Walker Australia 9 169 0.5× 109 0.3× 40 0.8× 31 1.1× 9 0.4× 19 261
Y. Khudyakov United States 10 259 0.8× 151 0.5× 82 1.7× 21 0.8× 9 0.4× 15 294
W.H. Gerlich Germany 8 255 0.8× 314 1.0× 72 1.5× 20 0.7× 5 0.2× 23 372
Ermei Yao United States 8 299 0.9× 262 0.8× 69 1.4× 57 2.1× 36 1.7× 11 371
Giuseppina Cappiello Italy 11 120 0.4× 154 0.5× 129 2.6× 73 2.7× 25 1.2× 20 305

Countries citing papers authored by Peter V. Markov

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter V. Markov

This figure shows the co-authorship network connecting the top 25 collaborators of Peter V. Markov. A scholar is included among the top collaborators of Peter V. Markov 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 Peter V. Markov. Peter V. Markov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Markov, Peter V., et al.. (2024). A mathematical model for the within-host (re)infection dynamics of SARS-CoV-2. Mathematical Biosciences. 371. 109178–109178. 5 indexed citations
2.
Grass, Vincent, Kassian Kobert, Élodie Décembre, et al.. (2022). Adaptation to host cell environment during experimental evolution of Zika virus. Communications Biology. 5(1). 1115–1115. 7 indexed citations
3.
Markov, Peter V. & Oliver G. Pybus. (2015). Evolution and Diversity of the Human Leukocyte Antigen(HLA). Evolution Medicine and Public Health. 2015(1). 1–1. 13 indexed citations
4.
Brant, L. J., Peter V. Markov, John‐Paul Tung, et al.. (2014). Hepatitis C virus genotype 4 in England: Diversity and demographic associations. Journal of Medical Virology. 87(3). 417–423. 3 indexed citations
5.
Rose, Rebecca, Peter V. Markov, Tommy Tsan‐Yuk Lam, & Oliver G. Pybus. (2013). Viral evolution explains the associations among hepatitis C virus genotype, clinical outcomes, and human genetic variation. Infection Genetics and Evolution. 20. 418–421. 10 indexed citations
6.
Markov, Peter V., Thijs van de Laar, Xiomara V. Thomas, et al.. (2012). Colonial History and Contemporary Transmission Shape the Genetic Diversity of Hepatitis C Virus Genotype 2 in Amsterdam. Journal of Virology. 86(14). 7677–7687. 41 indexed citations
7.
Pybus, Oliver G. & Peter V. Markov. (2011). The adaptation of chronic viral infections to human genetic diversity. Immunology. 135. 30–30. 1 indexed citations
8.
Markov, Peter V., et al.. (2009). Phylogeography and molecular epidemiology of hepatitis C virus genotype 2 in Africa. Journal of General Virology. 90(9). 2086–2096. 76 indexed citations
9.
Pybus, Oliver G., Eleanor Barnes, Philippe Lemey, et al.. (2008). Genetic History of Hepatitis C Virus in East Asia. Journal of Virology. 83(2). 1071–1082. 177 indexed citations
10.
Pybus, Oliver G., Peter V. Markov, Anna M. Wu, & Andrew J. Tatem. (2007). Investigating the endemic transmission of the hepatitis C virus. International Journal for Parasitology. 37(8-9). 839–849. 56 indexed citations

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.

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