Miriam Casey-Bryars

1.5k total citations
8 papers, 668 citations indexed

About

Miriam Casey-Bryars is a scholar working on Infectious Diseases, Modeling and Simulation and Agronomy and Crop Science. According to data from OpenAlex, Miriam Casey-Bryars has authored 8 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 3 papers in Agronomy and Crop Science. Recurrent topics in Miriam Casey-Bryars's work include COVID-19 epidemiological studies (5 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Miriam Casey-Bryars is often cited by papers focused on COVID-19 epidemiological studies (5 papers), COVID-19 Clinical Research Studies (3 papers) and Animal Disease Management and Epidemiology (3 papers). Miriam Casey-Bryars collaborates with scholars based in Ireland and United Kingdom. Miriam Casey-Bryars's co-authors include Simon J. More, Ann Barber, John Griffin, Kevin Hunt, Elizabeth Lane, Áine B. Collins, Conor G. McAloon, Andrew W. Byrne, Francis Butler and Patrick Wall and has published in prestigious journals such as BMJ Open, Preventive Veterinary Medicine and Veterinary Research Communications.

In The Last Decade

Miriam Casey-Bryars

8 papers receiving 654 citations

Peers

Miriam Casey-Bryars

MS

ID

EE

EPIDE

PHEOH

Kevin Hunt Ireland

Áine B. Collins Ireland

Dongxuan Chen Hong Kong

Andrea Torneri Belgium

Wongyeong Choi South Korea

David McEvoy Ireland

Timothy Russell United Kingdom

Noémie Lefrancq France

Noémie Courtejoie France

Dillon C. Adam Australia

Kevin Hunt Ireland

Miriam Casey-Bryars

502 ×1.0

MS

422 ×1.1

ID

131 ×1.1

EE

112 ×1.0

EPIDE

71 ×1.1

PHEOH

Citations per year, relative to Miriam Casey-Bryars Miriam Casey-Bryars (= 1×) peers Kevin Hunt

Countries citing papers authored by Miriam Casey-Bryars

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Casey-Bryars

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miriam Casey-Bryars. 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 Miriam Casey-Bryars. The network helps show where Miriam Casey-Bryars may publish in the future.

Co-authorship network of co-authors of Miriam Casey-Bryars

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

All Works

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8 of 8 papers shown

1.

Madden, Jamie M., Miriam Casey-Bryars, James Sweeney, et al.. (2024). The impact of changing the cut-off threshold of the interferon-gamma (IFN-γ) assay for diagnosing bovine tuberculosis in Ireland. Preventive Veterinary Medicine. 224. 106129–106129. 3 indexed citations

2.

Madden, Jamie M., Miriam Casey-Bryars, Simon J. More, et al.. (2023). Investigation of the association between the Enferplex bovine tuberculosis antibody test and the future risk of bovine tuberculosis in irish cattle in infected herds: a pilot field study. Veterinary Research Communications. 48(1). 555–561. 3 indexed citations

3.

Casey-Bryars, Miriam, Jamie A. Tratalos, D. A. Graham, et al.. (2022). Risk factors for detection of bovine viral diarrhoea virus in low-risk herds during the latter stages of Ireland’s eradication programme. Preventive Veterinary Medicine. 201. 105607–105607. 6 indexed citations

4.

McEvoy, David, Conor G. McAloon, Áine B. Collins, et al.. (2021). Relative infectiousness of asymptomatic SARS-CoV-2 infected persons compared with symptomatic individuals: a rapid scoping review. BMJ Open. 11(5). e042354–e042354. 39 indexed citations

5.

Casey-Bryars, Miriam, John Griffin, Conor G. McAloon, et al.. (2021). Presymptomatic transmission of SARS-CoV-2 infection: a secondary analysis using published data. BMJ Open. 11(6). e041240–e041240. 32 indexed citations

6.

Griffin, John, Miriam Casey-Bryars, Áine B. Collins, et al.. (2020). Rapid review of available evidence on the serial interval and generation time of COVID-19. BMJ Open. 10(11). e040263–e040263. 67 indexed citations

7.

Byrne, Andrew W., David M. McEvoy, Áine B. Collins, et al.. (2020). Inferred duration of infectious period of SARS-CoV-2: rapid scoping review and analysis of available evidence for asymptomatic and symptomatic COVID-19 cases. BMJ Open. 10(8). e039856–e039856. 212 indexed citations

8.

McAloon, Conor G., Áine B. Collins, Kevin Hunt, et al.. (2020). Incubation period of COVID-19: a rapid systematic review and meta-analysis of observational research. BMJ Open. 10(8). e039652–e039652. 306 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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