Áine B. Collins

1.7k total citations
13 papers, 749 citations indexed

About

Áine B. Collins is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology. According to data from OpenAlex, Áine B. Collins has authored 13 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 8 papers in Modeling and Simulation and 3 papers in Epidemiology. Recurrent topics in Áine B. Collins's work include COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Áine B. Collins is often cited by papers focused on COVID-19 epidemiological studies (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). Áine B. Collins collaborates with scholars based in Ireland, United Kingdom and Netherlands. Áine B. Collins's co-authors include Simon J. More, Conor G. McAloon, Ann Barber, John Griffin, Kevin Hunt, Elizabeth Lane, Andrew W. Byrne, Miriam Casey-Bryars, Francis Butler and Patrick Wall and has published in prestigious journals such as BMJ Open, Preventive Veterinary Medicine and Tuberculosis.

In The Last Decade

Áine B. Collins

13 papers receiving 735 citations

Peers

Áine B. Collins
Kevin Hunt Ireland
Timothy Russell United Kingdom
Rebecca Kahn United States
Kylie E. C. Ainslie United Kingdom
Sam Abbott United Kingdom
Kevin Hunt Ireland
Áine B. Collins
Citations per year, relative to Áine B. Collins Áine B. Collins (= 1×) peers Kevin Hunt

Countries citing papers authored by Áine B. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Áine B. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Áine B. Collins. 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 Áine B. Collins. The network helps show where Áine B. Collins may publish in the future.

Co-authorship network of co-authors of Áine B. Collins

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

All Works

13 of 13 papers shown
1.
Collins, Áine B., Sian Floyd, Stephen V. Gordon, & Simon J. More. (2022). Prevalence of Mycobacterium bovis in milk on dairy cattle farms: An international systematic literature review and meta-analysis. Tuberculosis. 132. 102166–102166. 19 indexed citations
2.
Collins, Áine B. & Simon J. More. (2022). Parameter estimates to support future risk assessment of Mycobacterium bovis in raw milk cheese. Microbial Risk Analysis. 21. 100204–100204. 1 indexed citations
3.
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
4.
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
5.
Manzanilla, Edgar García, et al.. (2020). Current antimicrobial use in farm animals in the Republic of Ireland. Irish Veterinary Journal. 73(1). 11–11. 23 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
9.
Tratalos, Jamie A., Jamie M. Madden, Guy McGrath, et al.. (2020). Spatial and network characteristics of Irish cattle movements. Preventive Veterinary Medicine. 183. 105095–105095. 20 indexed citations
10.
More, Simon J., Conor G. McAloon, John Griffin, et al.. (2020). COVID-19 epidemiological parameters summary document. Arrow@dit (Dublin Institute of Technology). 1 indexed citations
11.
Griffin, John, Áine B. Collins, Kevin Hunt, et al.. (2020). A rapid review of available evidence on the serial interval and generation time of COVID-19. medRxiv. 18 indexed citations
12.
Barber, Ann, John Griffin, Miriam Casey, et al.. (2020). The basic reproduction number of SARS-CoV-2: a scoping review of available evidence. medRxiv. 4 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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