Louis du Plessis
- Infectious Diseases top 0.5%
- Modeling and Simulation top 0.1%
- Molecular Biology top 10%
- Economics and Econometrics top 1%
- Epidemiology top 5%
- Co-authors
- Oliver G. PybusJohn T. McCroneÁine O’TooleAndrew RambautEdward C. HolmesVerity HillChristopher RuisMoritz U. G. Kraemer
- Topics
- Genomics and Phylogenetic Studies (11 papers)Evolution and Genetic Dynamics (8 papers)COVID-19 epidemiological studies (7 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Louis du Plessis
35 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Infectious Diseases 2.3k
- Modeling and Simulation 1.6k
- Molecular Biology 804
- Economics and Econometrics 683
- Epidemiology 662
Countries citing papers authored by Louis du Plessis
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin toolbreakdown → | 551 |
| 9 | 21 | |
| 10 | A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiologybreakdown → | 1402 |
| 11 | 36 | |
| 12 | 37 | |
| 13 | The effect of human mobility and control measures on the COVID-19 epidemic in Chinabreakdown → | 1934 |
| 14 | 117 | |
| 15 | 6 | |
| 16 | 22 | |
| 17 | 22 | |
| 18 | 98 | |
| 19 | 6 | |
| 20 | 4 |
About Louis du Plessis
Louis du Plessis is a scholar working on Modeling and Simulation, General Social Sciences and Infectious Diseases, having authored 37 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Evolution and Genetic Dynamics (8 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Modeling and Simulation (1.6k citations), Infectious Diseases (2.3k citations) and Transportation (343 citations). Louis du Plessis has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Oliver G. Pybus, John T. McCrone, Áine O’Toole, Andrew Rambaut, Edward C. Holmes, Verity Hill, Christopher Ruis, Moritz U. G. Kraemer, Bernardo Gutiérrez and Nuno R. Faria. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.