Oliver J. Brady

88.3k total citations · 8 hit papers
88 papers, 14.7k citations indexed

About

Oliver J. Brady is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Oliver J. Brady has authored 88 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Public Health, Environmental and Occupational Health, 38 papers in Infectious Diseases and 26 papers in Modeling and Simulation. Recurrent topics in Oliver J. Brady's work include Mosquito-borne diseases and control (66 papers), Malaria Research and Control (36 papers) and Viral Infections and Vectors (32 papers). Oliver J. Brady is often cited by papers focused on Mosquito-borne diseases and control (66 papers), Malaria Research and Control (36 papers) and Viral Infections and Vectors (32 papers). Oliver J. Brady collaborates with scholars based in United Kingdom, United States and Brazil. Oliver J. Brady's co-authors include Simon I Hay, Thomas W. Scott, Jane P. Messina, Peter W. Gething, Samir Bhatt, John S. Brownstein, Catherine L. Moyes, Andrew Farlow, William Wint and Cameron P. Simmons and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Oliver J. Brady

85 papers receiving 14.3k citations

Hit Papers

The global distribution and burden of dengue 2012 2026 2016 2021 2013 2012 2016 2019 2014 2.0k 4.0k 6.0k

Peers

Oliver J. Brady
Jane P. Messina United Kingdom
Catherine L. Moyes United Kingdom
William Wint United Kingdom
Dylan B. George United States
Andrew Farlow United Kingdom
Monica F. Myers United States
Anne G. Hoen United States
Eva Harris United States
Ann M. Powers United States
Jane P. Messina United Kingdom
Oliver J. Brady
Citations per year, relative to Oliver J. Brady Oliver J. Brady (= 1×) peers Jane P. Messina

Countries citing papers authored by Oliver J. Brady

Since Specialization
Citations

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

Fields of papers citing papers by Oliver J. Brady

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver J. Brady

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver J. Brady. A scholar is included among the top collaborators of Oliver J. Brady 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 Oliver J. Brady. Oliver J. Brady 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.
Lim, Ahyoung, Megan Auzenbergs, Andrew Clark, et al.. (2025). Global, regional and national burden of chikungunya: force of infection mapping and spatial modelling study. BMJ Global Health. 10(10). e018598–e018598.
2.
Brady, Oliver J., Paul Nulty, Lili Zhang, Tomás Ward, & David P. McGovern. (2025). Dual-process theory and decision-making in large language models. Nature Reviews Psychology. 4(12). 777–792.
3.
Lourenço, José, Yun Yang, Qiushi Lin, et al.. (2024). Indian Ocean temperature anomalies predict long-term global dengue trends. Science. 384(6696). 639–646. 16 indexed citations
4.
Lim, Ahyoung, et al.. (2024). A global dataset of publicly available dengue case count data. Scientific Data. 11(1). 296–296. 9 indexed citations
5.
Nightingale, Emily, Swaminathan Subramanian, Lloyd A. C. Chapman, et al.. (2024). Inferring the regional distribution of Visceral Leishmaniasis incidence from data at different spatial scales. SHILAP Revista de lepidopterología. 4(1). 240–240. 1 indexed citations
6.
Andronico, Alessio, Henrik Salje, Muriel Vincent, et al.. (2023). Comparing the Performance of Three Models Incorporating Weather Data to Forecast Dengue Epidemics in Reunion Island, 2018–2019. The Journal of Infectious Diseases. 229(1). 10–18. 3 indexed citations
7.
Acosta, André Luís, Sarah C. Hill, Oliver J. Brady, et al.. (2022). Mapping environmental suitability of Haemagogus and Sabethes spp. mosquitoes to understand sylvatic transmission risk of yellow fever virus in Brazil. PLoS neglected tropical diseases. 16(1). e0010019–e0010019. 23 indexed citations
8.
Brady, Oliver J., et al.. (2022). Geo-Spatial Characteristics of 567 Places of Tick-Borne Encephalitis Infection in Southern Germany, 2018–2020. Microorganisms. 10(3). 643–643. 9 indexed citations
9.
Colón‐González, Felipe J., Leonardo Soares Bastos, Barbara Hofmann, et al.. (2021). Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensembles. PLoS Medicine. 18(3). e1003542–e1003542. 47 indexed citations
10.
Jombart, Thibaut, Quentin J. Leclerc, Mark Jit, et al.. (2021). Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200266–20200266. 12 indexed citations
11.
Biggs, Joseph R., Katharine Sherratt, Oliver J. Brady, et al.. (2021). Estimating the annual dengue force of infection from the age of reporting primary infections across urban centres in endemic countries. BMC Medicine. 19(1). 217–217. 7 indexed citations
12.
Biggs, Joseph R., Oliver J. Brady, Adam J. Kucharski, et al.. (2021). Serological Evidence of Widespread Zika Transmission across the Philippines. Viruses. 13(8). 1441–1441. 5 indexed citations
13.
Brady, Oliver J., Adam J. Kucharski, Sebastian Funk, et al.. (2021). Case-area targeted interventions (CATI) for reactive dengue control: Modelling effectiveness of vector control and prophylactic drugs in Singapore. PLoS neglected tropical diseases. 15(8). e0009562–e0009562. 3 indexed citations
14.
Messina, Jane P., Oliver J. Brady, Nick Golding, et al.. (2019). The current and future global distribution and population at risk of dengue. Nature Microbiology. 4(9). 1508–1515. 753 indexed citations breakdown →
15.
O’Reilly, Kathleen, Rachel Lowe, W. John Edmunds, et al.. (2018). Projecting the end of the Zika virus epidemic in Latin America: a modelling analysis. BMC Medicine. 16(1). 180–180. 40 indexed citations
16.
Wong, Kerry LM, Oliver J. Brady, Oona M. R. Campbell, & Lenka Beňová. (2018). Comparison of spatial interpolation methods to create high-resolution poverty maps for low- and middle-income countries. Journal of The Royal Society Interface. 15(147). 20180252–20180252. 10 indexed citations
17.
Yakob, Laith, Sebastian Funk, Anton Camacho, Oliver J. Brady, & W. John Edmunds. (2017). Aedes aegypti Control Through Modernized, Integrated Vector Management. PLoS Currents. 9. 31 indexed citations
18.
Messina, Jane P., Oliver J. Brady, David M. Pigott, et al.. (2015). The many projected futures of dengue. Nature Reviews Microbiology. 13(4). 230–239. 141 indexed citations
19.
Brady, Oliver J., Nick Golding, David M. Pigott, et al.. (2014). Global temperature constraints on Aedes aegypti and Ae. albopictus persistence and competence for dengue virus transmission. Parasites & Vectors. 7(1). 338–338. 275 indexed citations
20.
Messina, Jane P., Oliver J. Brady, Thomas W. Scott, et al.. (2014). Global spread of dengue virus types: mapping the 70 year history. Trends in Microbiology. 22(3). 138–146. 483 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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