Daniel J. Laydon

23.9k total citations · 1 hit paper
34 papers, 1.4k citations indexed

About

Daniel J. Laydon is a scholar working on Immunology, Agronomy and Crop Science and Modeling and Simulation. According to data from OpenAlex, Daniel J. Laydon has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 13 papers in Agronomy and Crop Science and 13 papers in Modeling and Simulation. Recurrent topics in Daniel J. Laydon's work include COVID-19 epidemiological studies (13 papers), T-cell and Retrovirus Studies (13 papers) and Animal Disease Management and Epidemiology (13 papers). Daniel J. Laydon is often cited by papers focused on COVID-19 epidemiological studies (13 papers), T-cell and Retrovirus Studies (13 papers) and Animal Disease Management and Epidemiology (13 papers). Daniel J. Laydon collaborates with scholars based in United Kingdom, United States and Denmark. Daniel J. Laydon's co-authors include Charles R. M. Bangham, Becca Asquith, Neil M. Ferguson, Anat Melamed, Graham P. Taylor, Ilaria Dorigatti, Luis Mier-y-Terán-Romero, Derek A. T. Cummings, Isabel Rodríguez-Barraquer and Nicolas Gillet and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel J. Laydon

32 papers receiving 1.4k 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.

Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe

2020 307 citations Seth Flaxman, Swapnil Mishra et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Laydon United Kingdom	18	524	372	338	337	295	34	1.4k
Heidi E. Brown United States	26	66 0.1×	171 0.5×	229 0.7×	821 2.4×	288 1.0×	105	2.3k
J Mark Elwood United Kingdom	8	249 0.5×	77 0.2×	93 0.3×	189 0.6×	71 0.2×	17	1.3k
Luis Lowe United States	18	137 0.3×	158 0.4×	250 0.7×	1.6k 4.7×	196 0.7×	35	2.6k
Guangjian Zhu China	15	89 0.2×	179 0.5×	80 0.2×	1.3k 3.8×	226 0.8×	33	1.9k
KH Chan China	6	205 0.4×	520 1.4×	114 0.3×	3.3k 9.7×	39 0.1×	10	4.1k
Angela L. Rasmussen United States	20	185 0.4×	198 0.5×	67 0.2×	1.2k 3.4×	20 0.1×	40	1.8k
William W. Darrow United States	29	205 0.4×	158 0.4×	81 0.2×	1.6k 4.7×	41 0.1×	78	3.3k
Yu Lan China	20	165 0.3×	140 0.4×	60 0.2×	861 2.6×	37 0.1×	77	1.8k
Anne‐Sophie Lequarré Belgium	15	91 0.2×	87 0.2×	176 0.5×	78 0.2×	108 0.4×	32	1.9k
Natasha L. Tilston‐Lunel United States	17	46 0.1×	240 0.6×	53 0.2×	679 2.0×	177 0.6×	25	1.1k

Countries citing papers authored by Daniel J. Laydon

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Laydon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Laydon. 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 Daniel J. Laydon. The network helps show where Daniel J. Laydon may publish in the future.

Co-authorship network of co-authors of Daniel J. Laydon

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

All Works

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20 of 20 papers shown

Laydon, Daniel J., et al.. (2026). Taxation of foods high in fat, sugar, and sodium in India: A modelling study of health and economic impacts. PLoS Medicine. 23(1). e1004572–e1004572.

Whittaker, Charles, Gregory Barnsley, Daniela Olivera Mesa, et al.. (2025). Quantifying the impact of a broadly protective sarbecovirus vaccine in a future SARS-X pandemic. Nature Communications. 16(1). 8495–8495.

Morgenstern, Christian, Daniel J. Laydon, Charles A. Whittaker, et al.. (2024). The interaction of disease transmission, mortality, and economic output over the first 2 years of the COVID-19 pandemic. PLoS ONE. 19(6). e0301785–e0301785. 1 indexed citations

Elsland, Sabine van, et al.. (2024). Policy impact of the Imperial College COVID-19 Response Team: global perspective and United Kingdom case study. Health Research Policy and Systems. 22(1). 153–153. 2 indexed citations

Penn, Matthew J., Daniel J. Laydon, Joseph V. Penn, et al.. (2023). Intrinsic randomness in epidemic modelling beyond statistical uncertainty. Communications Physics. 6(1). 146–146. 5 indexed citations

Laydon, Daniel J., Simon Cauchemez, Wes Hinsley, Samir Bhatt, & Neil M. Ferguson. (2023). Impact of proactive and reactive vaccination strategies for health-care workers against MERS-CoV: a mathematical modelling study. The Lancet Global Health. 11(5). e759–e769. 4 indexed citations

Mishra, Swapnil, Daniel J. Laydon, Harrison Zhu, et al.. (2022). A COVID-19 Model for Local Authorities of the United Kingdom. Journal of the Royal Statistical Society Series A (Statistics in Society). 185(Supplement_1). S86–S95. 6 indexed citations

Laydon, Daniel J., et al.. (2022). Quantifying Changes in Vaccine Coverage in Mainstream Media as a Result of the COVID-19 Outbreak: Text Mining Study. SHILAP Revista de lepidopterología. 2(2). e35121–e35121. 11 indexed citations

Laydon, Daniel J., Swapnil Mishra, Wes Hinsley, et al.. (2021). Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns. BMJ Open. 11(4). e050346–e050346. 15 indexed citations

10.

Hogan, Alexandra B., Peter Winskill, Oliver J. Watson, et al.. (2021). Within-country age-based prioritisation, global allocation, and public health impact of a vaccine against SARS-CoV-2: A mathematical modelling analysis. Vaccine. 39(22). 2995–3006. 72 indexed citations

11.

Mishra, Swapnil, James A. Scott, Daniel J. Laydon, et al.. (2021). Comparing the responses of the UK, Sweden and Denmark to COVID-19 using counterfactual modelling. Scientific Reports. 11(1). 16342–16342. 36 indexed citations

12.

Laydon, Daniel J., Ilaria Dorigatti, Wes Hinsley, et al.. (2021). Efficacy profile of the CYD-TDV dengue vaccine revealed by Bayesian survival analysis of individual-level phase III data. eLife. 10. 13 indexed citations

13.

Dorigatti, Ilaria, et al.. (2018). Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning. Nature Communications. 9(1). 3644–3644. 20 indexed citations

14.

Cook, Lucy, Anat Melamed, Maria Antonietta Demontis, et al.. (2016). Rapid dissemination of human T-lymphotropic virus type 1 during primary infection in transplant recipients. Retrovirology. 13(1). 3–3. 53 indexed citations

15.

Melamed, Anat, Aviva Witkover, Daniel J. Laydon, et al.. (2014). Clonality of HTLV-2 in Natural Infection. PLoS Pathogens. 10(3). e1004006–e1004006. 26 indexed citations

16.

Ploubidis, George B., Lenka Beňová, Emily Grundy, Daniel J. Laydon, & Bianca DeStavola. (2014). Lifelong Socio Economic Position and biomarkers of later life health: Testing the contribution of competing hypotheses. Social Science & Medicine. 119. 258–265. 31 indexed citations

17.

Niederer, Heather, Daniel J. Laydon, Anat Melamed, et al.. (2014). HTLV-1 proviral integration sites differ between asymptomatic carriers and patients with HAM/TSP. Virology Journal. 11(1). 172–172. 15 indexed citations

18.

Melamed, Anat, Daniel J. Laydon, Nicolas Gillet, et al.. (2013). Genome-wide Determinants of Proviral Targeting, Clonal Abundance and Expression in Natural HTLV-1 Infection. PLoS Pathogens. 9(3). e1003271–e1003271. 78 indexed citations

19.

Gillet, Nicolas, Lucy Cook, Daniel J. Laydon, et al.. (2013). Strongyloidiasis and Infective Dermatitis Alter Human T Lymphotropic Virus-1 Clonality in vivo. PLoS Pathogens. 9(4). e1003263–e1003263. 44 indexed citations

20.

Hodson, Andrew, Daniel J. Laydon, Barbara J. Bain, Paul Fields, & Graham P. Taylor. (2012). Pre-morbid human T-lymphotropic virus type I proviral load, rather than percentage of abnormal lymphocytes, is associated with an increased risk of aggressive adult T-cell leukemia/lymphoma. Haematologica. 98(3). 385–388. 19 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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