León Danon

9.7k total citations · 4 hit papers
77 papers, 5.8k citations indexed

About

León Danon is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, León Danon has authored 77 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Modeling and Simulation, 26 papers in Epidemiology and 22 papers in Infectious Diseases. Recurrent topics in León Danon's work include COVID-19 epidemiological studies (39 papers), Complex Network Analysis Techniques (12 papers) and Influenza Virus Research Studies (10 papers). León Danon is often cited by papers focused on COVID-19 epidemiological studies (39 papers), Complex Network Analysis Techniques (12 papers) and Influenza Virus Research Studies (10 papers). León Danon collaborates with scholars based in United Kingdom, United States and Spain. León Danon's co-authors include Albert Dı́az-Guilera, Àlex Arenas, Jordi Duch, Francesc Giralt, Roger Guimerà, Kim Christensen, Tim Scanlon, Per Bak, Matt J. Keeling and Ellen Brooks‐Pollock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Physical Review Letters.

In The Last Decade

León Danon

73 papers receiving 5.6k 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.

Comparing community structure identification

2005 1.9k citations León Danon et al. profile →
Self-similar community structure in a network of human interactions

2003 1.0k citations León Danon et al. profile →
Unified Scaling Law for Earthquakes

2002 509 citations Per Bak, Kim Christensen et al. Physical Review Letters profile →
Risk of mortality in patients infected with SARS-CoV-2 variant of concern 202012/1: matched cohort study

2021 452 citations Robert Challen, Ellen Brooks‐Pollock et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
León Danon United Kingdom	28	2.7k	971	918	891	726	77	5.8k
Stephen Eubank United States	31	2.3k 0.9×	616 0.6×	1.1k 1.2×	2.5k 2.8×	566 0.8×	98	8.5k
Ciro Cattuto Italy	38	2.6k 1.0×	891 0.9×	292 0.3×	1.2k 1.4×	765 1.1×	105	6.8k
Vittorio Loreto Italy	36	4.9k 1.8×	1.1k 1.1×	195 0.2×	599 0.7×	768 1.1×	163	9.4k
Alain Barrat France	58	10.1k 3.7×	1.2k 1.2×	478 0.5×	2.8k 3.2×	1.3k 1.8×	170	17.3k
Lin Wang China	39	1.5k 0.6×	220 0.2×	1.5k 1.6×	2.0k 2.2×	517 0.7×	238	6.5k
David R. Hunter United States	36	1.6k 0.6×	1.4k 1.5×	197 0.2×	188 0.2×	622 0.9×	91	8.5k
José J. Ramasco Spain	38	2.6k 0.9×	471 0.5×	235 0.3×	1.5k 1.7×	360 0.5×	116	7.6k
Zoltán Toroczkai United States	35	1.9k 0.7×	432 0.4×	118 0.1×	727 0.8×	460 0.6×	96	5.7k
Zhen Jin China	54	1.6k 0.6×	402 0.4×	1.0k 1.1×	3.7k 4.1×	479 0.7×	474	10.8k
Vittoria Colizza France	46	3.5k 1.3×	324 0.3×	1.7k 1.8×	5.4k 6.1×	564 0.8×	145	11.6k

Countries citing papers authored by León Danon

Since Specialization

Citations

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

Fields of papers citing papers by León Danon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of León Danon

This figure shows the co-authorship network connecting the top 25 collaborators of León Danon. A scholar is included among the top collaborators of León Danon 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 León Danon. León Danon 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:

20 of 20 papers shown

Thomas, Amy, et al.. (2025). Mechanistic models of humoral kinetics following COVID-19 vaccination. Journal of The Royal Society Interface. 22(222). 20240445–20240445.

O’Reilly, Kathleen, Matthew J. Wade, Kata Farkas, et al.. (2025). Analysis insights to support the use of wastewater and environmental surveillance data for infectious diseases and pandemic preparedness. Epidemics. 51. 100825–100825. 1 indexed citations

Bullock, Seth, Nirav Ajmeri, Michaela Black, et al.. (2024). Artificial intelligence for collective intelligence: a national-scale research strategy. The Knowledge Engineering Review. 39. 1 indexed citations

Hyams, Catherine, David Arnold, Robyn Heath, et al.. (2023). Parapneumonic effusions related to Streptococcus pneumoniae : serotype and disease severity trends from 2006 to 2018 in Bristol, UK. BMJ Open Respiratory Research. 10(1). e001440–e001440.

King, Jade, Nick Maskell, Jennifer Oliver, et al.. (2023). Association of ABO and Rhesus blood groups with severe outcomes from non‐SARS‐CoV ‐2 respiratory infection: A prospective observational cohort study in Bristol, UK 2020–2022. British Journal of Haematology. 204(3). 826–838.

Challen, Robert, Ellen Brooks‐Pollock, Krasimira Tsaneva‐Atanasova, & León Danon. (2021). Meta-analysis of the severe acute respiratory syndrome coronavirus 2 serial intervals and the impact of parameter uncertainty on the coronavirus disease 2019 reproduction number. Statistical Methods in Medical Research. 31(9). 1686–1703. 18 indexed citations

Vigfússon, Ýmir, Congzheng Song, Nishant Kishore, et al.. (2021). Cell-phone traces reveal infection-associated behavioral change. Proceedings of the National Academy of Sciences. 118(6). 11 indexed citations

Booton, Ross D., Louis MacGregor, Lucy Vass, et al.. (2021). Estimating the COVID-19 epidemic trajectory and hospital capacity requirements in South West England: a mathematical modelling framework. BMJ Open. 11(1). e041536–e041536. 19 indexed citations

Gibbs, Hamish, Emily Nightingale, Yang Liu, et al.. (2021). Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19. PLoS Computational Biology. 17(7). e1009162–e1009162. 25 indexed citations

10.

Brooks‐Pollock, Ellen, León Danon, Thibaut Jombart, & Lorenzo Pellis. (2021). Modelling that shaped the early COVID-19 pandemic response in the UK. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20210001–20210001. 49 indexed citations

11.

Brooks‐Pollock, Ellen, Jonathan M. Read, Thomas House, et al.. (2021). The population attributable fraction of cases due to gatherings and groups with relevance to COVID-19 mitigation strategies. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200273–20200273. 6 indexed citations

12.

Canto‐Osorio, Francisco, Dalia Stern, Carolina Pérez‐Ferrer, et al.. (2021). Seroprevalencia de SARS-CoV-2 en niños y adolescentes mexicanos en edad escolar. Salud Pública de México. 63(6, Nov-Dic). 803–806. 1 indexed citations

13.

Lacasa, Lucas, Robert Challen, Ellen Brooks‐Pollock, & León Danon. (2021). Correction: A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic. PLoS ONE. 16(4). e0251222–e0251222. 2 indexed citations

14.

Danon, León, Lucas Lacasa, & Ellen Brooks‐Pollock. (2021). Household bubbles and COVID-19 transmission: insights from percolation theory. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200284–20200284. 12 indexed citations

15.

Brooks‐Pollock, Ellen, Hannah Christensen, Adam Trickey, et al.. (2021). High COVID-19 transmission potential associated with re-opening universities can be mitigated with layered interventions. Nature Communications. 12(1). 5017–5017. 40 indexed citations

16.

Brooks‐Pollock, Ellen, León Danon, Hester Korthals Altes, et al.. (2020). A model of tuberculosis clustering in low incidence countries reveals more transmission in the United Kingdom than the Netherlands between 2010 and 2015. PLoS Computational Biology. 16(3). e1007687–e1007687. 9 indexed citations

17.

Lacasa, Lucas, Robert Challen, Ellen Brooks‐Pollock, & León Danon. (2020). A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic. PLoS ONE. 15(10). e0241027–e0241027. 21 indexed citations

18.

Davis, Emma L., León Danon, Joaquín M. Prada, et al.. (2018). Seasonally timed treatment programs for Ascaris lumbricoides to increase impact—An investigation using mathematical models. PLoS neglected tropical diseases. 12(1). e0006195–e0006195. 11 indexed citations

19.

Keeling, Matt J. & León Danon. (2009). Mathematical modelling of infectious diseases. British Medical Bulletin. 92(1). 33–42. 120 indexed citations

20.

Bak, Per, Kim Christensen, León Danon, & Tim Scanlon. (2002). Unified Scaling Law for Earthquakes. Physical Review Letters. 88(17). 178501–178501. 509 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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