Emma S. McBryde

9.2k total citations · 2 hit papers
194 papers, 5.5k citations indexed

About

Emma S. McBryde is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Emma S. McBryde has authored 194 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Infectious Diseases, 111 papers in Epidemiology and 42 papers in Modeling and Simulation. Recurrent topics in Emma S. McBryde's work include Tuberculosis Research and Epidemiology (68 papers), COVID-19 epidemiological studies (42 papers) and Pneumonia and Respiratory Infections (36 papers). Emma S. McBryde is often cited by papers focused on Tuberculosis Research and Epidemiology (68 papers), COVID-19 epidemiological studies (42 papers) and Pneumonia and Respiratory Infections (36 papers). Emma S. McBryde collaborates with scholars based in Australia, United Kingdom and United States. Emma S. McBryde's co-authors include James M. Trauer, Damon P. Eisen, Justin T. Denholm, Adeshina I. Adekunle, Oyelola A. Adegboye, Anton Pak, Michael T. Meehan, Margaret Hellard, Md Abdul Kuddus and Liz Tynan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Emma S. McBryde

188 papers receiving 5.4k citations

Hit Papers

Economic Consequences of the COVID-19 Outbreak: the Need ... 2020 2026 2022 2024 2020 2020 100 200 300 400

Peers

Emma S. McBryde
Paddy Farrington United Kingdom
Bruce Y. Lee United States
Marc Aerts Belgium
Philip M. Polgreen United States
Myoung‐don Oh South Korea
Daniela De Angelis United Kingdom
Paddy Farrington United Kingdom
Emma S. McBryde
Citations per year, relative to Emma S. McBryde Emma S. McBryde (= 1×) peers Paddy Farrington

Countries citing papers authored by Emma S. McBryde

Since Specialization
Citations

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

Fields of papers citing papers by Emma S. McBryde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma S. McBryde. 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 Emma S. McBryde. The network helps show where Emma S. McBryde may publish in the future.

Co-authorship network of co-authors of Emma S. McBryde

This figure shows the co-authorship network connecting the top 25 collaborators of Emma S. McBryde. A scholar is included among the top collaborators of Emma S. McBryde 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 Emma S. McBryde. Emma S. McBryde 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.
Ragonnet, Romain, Michael T. Meehan, Nouredine Melab, et al.. (2025). Estimating the impact of school closures on the COVID-19 dynamics in 74 countries: A modelling analysis. PLoS Medicine. 22(1). e1004512–e1004512.
2.
Hickson, Roslyn I., et al.. (2024). Reproducibility of COVID-era infectious disease models. Epidemics. 46. 100743–100743. 4 indexed citations
5.
Ragonnet, Romain, Angela Largen, Tom Jack, et al.. (2022). Estimating the long-term effects of mass screening for latent and active tuberculosis in the Marshall Islands. International Journal of Epidemiology. 51(5). 1433–1445. 13 indexed citations
6.
Ragonnet, Romain, Kalaiarasu M. Peariasamy, Greg J. Fox, et al.. (2022). COVID-19 collaborative modelling for policy response in the Philippines, Malaysia and Vietnam. The Lancet Regional Health - Western Pacific. 29. 100563–100563. 3 indexed citations
7.
Kuddus, Md Abdul, Emma S. McBryde, Adeshina I. Adekunle, Lisa J. White, & Michael T. Meehan. (2022). Mathematical analysis of a two-strain tuberculosis model in Bangladesh. Scientific Reports. 12(1). 3634–3634. 20 indexed citations
8.
Adegboye, Oyelola A., Emma S. McBryde, & Damon P. Eisen. (2021). Tropical Australian Health-Data Linkage Shows Excess Mortality Following Severe Infectious Disease Is Present in the Short-Term and Long-Term after Hospital Discharge. Healthcare. 9(7). 901–901. 1 indexed citations
9.
Caldwell, Jamie M., Raymond Francis Sarmiento, Richard T. Gray, et al.. (2021). Understanding COVID-19 dynamics and the effects of interventions in the Philippines: A mathematical modelling study. The Lancet Regional Health - Western Pacific. 14. 100211–100211. 20 indexed citations
10.
Trauer, James M., David Pilcher, Michael T. Meehan, et al.. (2021). Understanding how Victoria, Australia gained control of its second COVID-19 wave. Nature Communications. 12(1). 6266–6266. 19 indexed citations
11.
Ragonnet, Romain, Jennifer A. Flegg, Samuel L. Brilleman, et al.. (2020). Revisiting the Natural History of Pulmonary Tuberculosis: A Bayesian Estimation of Natural Recovery and Mortality Rates. Clinical Infectious Diseases. 73(1). e88–e96. 21 indexed citations
12.
Kuddus, Md Abdul, Michael T. Meehan, Lisa J. White, Emma S. McBryde, & Adeshina I. Adekunle. (2020). Modeling drug-resistant tuberculosis amplification rates and intervention strategies in Bangladesh. PLoS ONE. 15(7). e0236112–e0236112. 28 indexed citations
13.
Meehan, Michael T., Daniel Cocks, Johannes Müller, & Emma S. McBryde. (2019). Global stability properties of a class of renewal epidemic models. Journal of Mathematical Biology. 78(6). 1713–1725. 1 indexed citations
14.
Palagyi, Anna, Ben J. Marais, Ṣẹ̀yẹ Abímbọ́lá, et al.. (2019). Health system preparedness for emerging infectious diseases: A synthesis of the literature. Global Public Health. 14(12). 1847–1868. 50 indexed citations
15.
Clifford, Vanessa, Marc Tebruegge, Christel Zufferey, et al.. (2018). Cytokine biomarkers for the diagnosis of tuberculosis infection and disease in adults in a low prevalence setting. Tuberculosis. 114. 91–102. 37 indexed citations
16.
Shaweno, Debebe, James M. Trauer, Justin T. Denholm, & Emma S. McBryde. (2018). The role of geospatial hotspots in the spatial spread of tuberculosis in rural Ethiopia: a mathematical model. Royal Society Open Science. 5(9). 180887–180887. 13 indexed citations
17.
Clifford, Vanessa, Marc Tebruegge, Christel Zufferey, et al.. (2017). Mycobacteria-specific cytokine responses as correlates of treatment response in active and latent tuberculosis. Journal of Infection. 75(2). 132–145. 17 indexed citations
18.
Eisen, Damon P., Elizabeth Moore, Karin Leder, et al.. (2017). AspiriN To Inhibit SEPSIS (ANTISEPSIS) randomised controlled trial protocol. BMJ Open. 7(1). e013636–e013636. 26 indexed citations
19.
Scott, Nick, Emma S. McBryde, Alexander Thompson, Joseph Doyle, & Margaret Hellard. (2016). Treatment scale-up to achieve global HCV incidence and mortality elimination targets: a cost-effectiveness model. Gut. 66(8). 1507–1515. 115 indexed citations
20.
Geard, Nicholas, Kathryn Glass, James M. McCaw, et al.. (2015). The effects of demographic change on disease transmission and vaccine impact in a household structured population. Epidemics. 13. 56–64. 47 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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