Maylis Layan

3.7k total citations · 1 hit paper
10 papers, 2.0k citations indexed

About

Maylis Layan is a scholar working on Modeling and Simulation, Virology and Infectious Diseases. According to data from OpenAlex, Maylis Layan has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Modeling and Simulation, 4 papers in Virology and 3 papers in Infectious Diseases. Recurrent topics in Maylis Layan's work include COVID-19 epidemiological studies (5 papers), Rabies epidemiology and control (4 papers) and Microbial infections and disease research (3 papers). Maylis Layan is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Rabies epidemiology and control (4 papers) and Microbial infections and disease research (3 papers). Maylis Layan collaborates with scholars based in France, Belgium and United Kingdom. Maylis Layan's co-authors include Huaiyu Tian, Chia-Hung Yang, Bernardo Gutiérrez, David M. Pigott, William P. Hanage, Oliver G. Pybus, Nuno R. Faria, Chieh‐Hsi Wu, Brennan Klein and Christopher Dye and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and American Journal of Epidemiology.

In The Last Decade

Maylis Layan

9 papers receiving 2.0k 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 effect of human mobility and control measures on the COVID-19 epidemic in China

2020 1.9k citations Moritz U. G. Kraemer, Chia-Hung Yang et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maylis Layan France	6	1.4k	664	402	343	322	10	2.0k
Chia-Hung Yang United States	3	1.3k 1.0×	663 1.0×	366 0.9×	343 1.0×	275 0.9×	7	2.0k
Brennan Klein United States	12	1.3k 1.0×	679 1.0×	388 1.0×	359 1.0×	289 0.9×	29	2.3k
Ruoran Li China	11	1.5k 1.1×	732 1.1×	487 1.2×	352 1.0×	392 1.2×	28	2.5k
Kunpeng Mu China	4	1.6k 1.2×	886 1.3×	431 1.1×	278 0.8×	495 1.5×	9	2.5k
Xinyue Xiong China	8	1.7k 1.2×	891 1.3×	444 1.1×	291 0.8×	503 1.6×	10	2.6k
Corrado Gioannini Italy	4	1.7k 1.3×	892 1.3×	503 1.3×	299 0.9×	514 1.6×	4	2.7k
Nick Ruktanonchai United States	24	1.2k 0.9×	439 0.7×	450 1.1×	452 1.3×	471 1.5×	45	2.3k
Jessica T. Davis United States	10	1.8k 1.3×	968 1.5×	528 1.3×	299 0.9×	555 1.7×	19	3.4k
Bernardo Gutiérrez Ecuador	15	2.1k 1.5×	1.1k 1.6×	601 1.5×	397 1.2×	809 2.5×	43	3.5k
Jessica Floyd United Kingdom	9	848 0.6×	367 0.6×	294 0.7×	195 0.6×	310 1.0×	10	1.4k

Countries citing papers authored by Maylis Layan

Since Specialization

Citations

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

Fields of papers citing papers by Maylis Layan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maylis Layan. 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 Maylis Layan. The network helps show where Maylis Layan may publish in the future.

Co-authorship network of co-authors of Maylis Layan

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

All Works

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10 of 10 papers shown

1.

Gilboa, Mayan, Maylis Layan, Gili Joseph, et al.. (2025). Factors Associated With the Transmission of the Delta Severe Acute Respiratory Syndrome Coronavirus 2 Variant in Households: The Israeli COVID-19 Family Study (ICoFS). The Journal of Infectious Diseases. 231(4). e734–e742.

2.

Layan, Maylis, Niel Hens, Marieke L. A. de Hoog, et al.. (2024). Addressing current limitations of household transmission studies by collecting contact data. American Journal of Epidemiology. 193(12). 1832–1839. 1 indexed citations

3.

Layan, Maylis, Nicola F. Müller, Simon Dellicour, et al.. (2023). Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations. Virus Evolution. 9(1). vead010–vead010. 29 indexed citations

4.

Layan, Maylis, Laurent Dacheux, Philippe Lemey, et al.. (2023). Uncovering the endemic circulation of rabies in Cambodia. Molecular Ecology. 32(18). 5140–5155. 2 indexed citations

5.

Layan, Maylis, Mayan Gilboa, Tal Gonen, et al.. (2022). Impact of BNT162b2 Vaccination and Isolation on SARS-CoV-2 Transmission in Israeli Households: An Observational Study. American Journal of Epidemiology. 191(7). 1224–1234. 31 indexed citations

6.

Paireau, Juliette, Alessio Andronico, Nathanaël Hozé, et al.. (2022). An ensemble model based on early predictors to forecast COVID-19 health care demand in France. Proceedings of the National Academy of Sciences. 119(18). e2103302119–e2103302119. 25 indexed citations

7.

Oliosi, Emma, et al.. (2022). A cross-sectional study on infectious health risks regarding freshwater sports practice in Brittany, France. Journal of Water and Health. 20(2). 356–368. 3 indexed citations

8.

Gill, Mandev S., et al.. (2021). On the Use of Phylogeographic Inference to Infer the Dispersal History of Rabies Virus: A Review Study. Viruses. 13(8). 1628–1628. 9 indexed citations

9.

Layan, Maylis, Simon Dellicour, Guy Baele, Simon Cauchemez, & Hervé Bourhy. (2021). Mathematical modelling and phylodynamics for the study of dog rabies dynamics and control: A scoping review. PLoS neglected tropical diseases. 15(5). e0009449–e0009449. 13 indexed citations

10.

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 →

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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