Peter V. Markov

1.4k total citations · 1 hit paper
5 papers, 622 citations indexed

About

Peter V. Markov is a scholar working on Infectious Diseases, Molecular Biology and Neurology. According to data from OpenAlex, Peter V. Markov has authored 5 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 2 papers in Molecular Biology and 1 paper in Neurology. Recurrent topics in Peter V. Markov's work include SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (1 paper) and Bacillus and Francisella bacterial research (1 paper). Peter V. Markov is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (1 paper) and Bacillus and Francisella bacterial research (1 paper). Peter V. Markov collaborates with scholars based in Italy, United Kingdom and Germany. Peter V. Markov's co-authors include Aris Katzourakis, Nikolaos I. Stilianakis, Katrina Lythgoe, Peter Simmonds, Martin Beer, Mahan Ghafari, Sergio Consoli, Pietro Coletti, Christos Hadjichristodoulou and Ioannis Kioutsioukis and has published in prestigious journals such as Nature Reviews Microbiology, Scientific Reports and Journal of The Royal Society Interface.

In The Last Decade

Peter V. Markov

2 papers receiving 613 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The evolution of SARS-CoV-2

2023 545 citations Peter V. Markov, Mahan Ghafari et al. Nature Reviews Microbiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter V. Markov Italy	2	482	158	87	63	58	5	622
Juanita Pang United Kingdom	6	500 1.0×	162 1.0×	73 0.8×	74 1.2×	58 1.0×	10	597
Arturo Torres Ortiz United Kingdom	6	488 1.0×	169 1.1×	68 0.8×	70 1.1×	72 1.2×	9	578
Karin van den Berg South Africa	10	704 1.5×	171 1.1×	51 0.6×	106 1.7×	98 1.7×	45	983
Cameron Stewart United States	9	535 1.1×	234 1.5×	38 0.4×	90 1.4×	48 0.8×	21	642
Michael T. Boswell South Africa	8	679 1.4×	184 1.2×	51 0.6×	108 1.7×	46 0.8×	11	751
Veronica Ueckermann South Africa	8	706 1.5×	226 1.4×	53 0.6×	108 1.7×	60 1.0×	26	824
Brent Oosthuysen South Africa	3	617 1.3×	173 1.1×	50 0.6×	103 1.6×	36 0.6×	4	678
Claire Carlin United States	11	701 1.5×	210 1.3×	54 0.6×	130 2.1×	46 0.8×	14	743
Frances Ayres South Africa	5	660 1.4×	181 1.1×	51 0.6×	110 1.7×	42 0.7×	8	729
Bojan F. Hörnich Germany	5	606 1.3×	170 1.1×	35 0.4×	90 1.4×	54 0.9×	6	701

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

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Markov, Peter V., et al.. (2025). Early warning system of the seasonal west nile virus infection risk in humans in northern greece, 2020–2024. Scientific Reports. 15(1). 7129–7129.

2.

Consoli, Sergio, Pietro Coletti, Peter V. Markov, et al.. (2025). An epidemiological knowledge graph extracted from the World Health Organization’s Disease Outbreak News. Scientific Data. 12(1). 970–970.

3.

Markov, Peter V., et al.. (2024). Within-host dynamics of antiviral treatment with remdesivir for SARS-CoV-2 infection. Journal of The Royal Society Interface. 21(220). 20240536–20240536.

4.

Markov, Peter V., Mahan Ghafari, Martin Beer, et al.. (2023). The evolution of SARS-CoV-2. Nature Reviews Microbiology. 21(6). 361–379. 545 indexed citations breakdown →

5.

Markov, Peter V., Aris Katzourakis, & Nikolaos I. Stilianakis. (2022). Antigenic evolution will lead to new SARS-CoV-2 variants with unpredictable severity. Nature Reviews Microbiology. 20(5). 251–252. 77 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.

Explore authors with similar magnitude of impact