Louis du Plessis

25.6k total citations · 3 hit papers
37 papers, 4.7k citations indexed

About

Louis du Plessis is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Louis du Plessis has authored 37 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Infectious Diseases. Recurrent topics in Louis du Plessis's work include Genomics and Phylogenetic Studies (11 papers), Evolution and Genetic Dynamics (8 papers) and COVID-19 epidemiological studies (7 papers). Louis du Plessis is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Evolution and Genetic Dynamics (8 papers) and COVID-19 epidemiological studies (7 papers). Louis du Plessis collaborates with scholars based in United Kingdom, Switzerland and United States. Louis du Plessis's co-authors include Oliver G. Pybus, John T. McCrone, Áine O’Toole, Andrew Rambaut, Verity Hill, Edward C. Holmes, Christopher Ruis, Moritz U. G. Kraemer, Bernardo Gutiérrez and Nuno R. Faria and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Louis du Plessis

35 papers receiving 4.6k citations

Hit Papers

The effect of human mobil... 2020 2026 2022 2024 2020 2020 2021 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louis du Plessis United Kingdom 18 2.3k 1.6k 804 683 662 37 4.7k
Nuno R. Faria United Kingdom 40 2.4k 1.1× 1.8k 1.1× 689 0.9× 779 1.1× 1.3k 2.0× 102 6.8k
Don Klinkenberg Netherlands 29 1.8k 0.8× 2.2k 1.4× 221 0.3× 1.1k 1.6× 905 1.4× 82 5.7k
Yonatan H. Grad United States 42 2.3k 1.0× 1.9k 1.2× 1.5k 1.8× 523 0.8× 1.4k 2.2× 142 7.6k
Shengjie Lai China 35 1.6k 0.7× 1.8k 1.1× 256 0.3× 615 0.9× 1.3k 2.0× 147 5.0k
Chieh‐Hsi Wu United Kingdom 18 856 0.4× 1.4k 0.9× 2.0k 2.5× 679 1.0× 791 1.2× 48 8.1k
C. Jessica E. Metcalf United States 51 2.6k 1.1× 3.1k 1.9× 733 0.9× 660 1.0× 2.4k 3.6× 218 10.2k
Alex R. Cook Singapore 46 2.8k 1.2× 2.6k 1.6× 374 0.5× 992 1.5× 2.0k 3.0× 229 8.8k
Ruiyun Li China 25 1.7k 0.7× 1.5k 0.9× 939 1.2× 531 0.8× 656 1.0× 96 4.6k
Amy Wesolowski United States 29 1.7k 0.7× 2.3k 1.4× 309 0.4× 564 0.8× 1.4k 2.1× 94 6.3k
Stefano Merler Italy 46 2.6k 1.1× 5.1k 3.1× 444 0.6× 1.5k 2.2× 2.2k 3.3× 157 9.2k

Countries citing papers authored by Louis du Plessis

Since Specialization
Citations

This map shows the geographic impact of Louis du Plessis'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 Louis du Plessis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Louis du Plessis more than expected).

Fields of papers citing papers by Louis du Plessis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Louis du Plessis. 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 Louis du Plessis. The network helps show where Louis du Plessis may publish in the future.

Co-authorship network of co-authors of Louis du Plessis

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

All Works

20 of 20 papers shown
1.
Zarebski, Alexander E., et al.. (2025). Estimating epidemic dynamics with genomic and time series data. Journal of The Royal Society Interface. 22(227). 20240632–20240632.
2.
Guinat, Claire, François‐Xavier Briand, Sébastien Lambert, et al.. (2025). Poultry farm density and proximity drive highly pathogenic avian influenza spread. Communications Biology. 8(1). 1306–1306. 3 indexed citations
3.
Chen, Zhiyuan, Joseph L.-H. Tsui, Jun Cai, et al.. (2025). Disruption of seasonal influenza circulation and evolution during the 2009 H1N1 and COVID-19 pandemics in Southeastern Asia. Nature Communications. 16(1). 475–475. 4 indexed citations
4.
Majander, Kerttu, Louis du Plessis, Natasha Arora, et al.. (2024). Redefining the treponemal history through pre-Columbian genomes from Brazil. Nature. 627(8002). 182–188. 7 indexed citations
5.
Fuhrmann, Lara, Kim Philipp Jablonski, Ivan Topolsky, et al.. (2024). V-pipe 3.0: a sustainable pipeline for within-sample viral genetic diversity estimation. GigaScience. 13. 7 indexed citations
6.
Tsui, Joseph L.-H., Bernardo Gutiérrez, Louis du Plessis, et al.. (2024). COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses. Science. 386(6722). eadq3003–eadq3003. 34 indexed citations
7.
Raghwani, Jayna, Louis du Plessis, John T. McCrone, et al.. (2022). Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India. Emerging infectious diseases. 28(4). 751–758. 4 indexed citations
8.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evolution. 7(2). veab064–veab064. 551 indexed citations breakdown →
9.
O’Toole, Áine, Emily Scher, Anthony Underwood, et al.. (2021). Assignment of Epidemiological Lineages in an Emerging Pandemic Using the Pangolin Tool. Apollo (University of Cambridge). 1 indexed citations
10.
Parag, Kris V., Louis du Plessis, & Oliver G. Pybus. (2020). Jointly Inferring the Dynamics of Population Size and Sampling Intensity from Molecular Sequences. Molecular Biology and Evolution. 37(8). 2414–2429. 21 indexed citations
11.
Majander, Kerttu, Saskia Pfrengle, Arthur Kocher, et al.. (2020). Ancient Bacterial Genomes Reveal a High Diversity of Treponema pallidum Strains in Early Modern Europe. Current Biology. 30(19). 3788–3803.e10. 36 indexed citations
12.
Rambaut, Andrew, Edward C. Holmes, Áine O’Toole, et al.. (2020). A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nature Microbiology. 5(11). 1403–1407. 1402 indexed citations breakdown →
13.
Dellicour, Simon, Sébastian Lequime, Bram Vrancken, et al.. (2020). Epidemiological hypothesis testing using a phylogeographic and phylodynamic framework. Nature Communications. 11(1). 5620–5620. 37 indexed citations
14.
Kraemer, Moritz U. G., Chia-Hung Yang, Bernardo Gutiérrez, et al.. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 368(6490). 493–497. 1934 indexed citations breakdown →
15.
Vasylyeva, Tetyana I., Louis du Plessis, Andrea-Clemencia Pineda-Peña, et al.. (2019). Tracing the Impact of Public Health Interventions on HIV-1 Transmission in Portugal Using Molecular Epidemiology. The Journal of Infectious Diseases. 220(2). 233–243. 20 indexed citations
16.
Vasylyeva, Tetyana I., Louis du Plessis, Esther Fearnhill, et al.. (2018). The Changing Epidemiological Profile of HIV-1 Subtype B Epidemic in Ukraine. AIDS Research and Human Retroviruses. 35(2). 155–163. 6 indexed citations
17.
Schmid‐Hempel, Paul, Markus Aebi, Seth M. Barribeau, et al.. (2018). The genomes of Crithidia bombi and C. expoeki, common parasites of bumblebees. PLoS ONE. 13(1). e0189738–e0189738. 22 indexed citations
18.
Plessis, Louis du, Gabriel E. Leventhal, & Sebastian Bonhoeffer. (2016). How Good Are Statistical Models at Approximating Complex Fitness Landscapes?. Molecular Biology and Evolution. 33(9). 2454–2468. 22 indexed citations
19.
Plessis, Louis du, Nives Škunca, & Christophe Dessimoz. (2011). The what, where, how and why of gene ontology--a primer for bioinformaticians. Briefings in Bioinformatics. 12(6). 723–735. 98 indexed citations
20.
Damelin, Steven B., et al.. (2008). An investigation of data compression techniques for hyperspectral core imager data. Planta. 232(5). 1141–9. 6 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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