Mairead B. Doyle

481 total citations
10 papers, 362 citations indexed

About

Mairead B. Doyle is a scholar working on Infectious Diseases, Epidemiology and Microbiology. According to data from OpenAlex, Mairead B. Doyle has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Epidemiology and 4 papers in Microbiology. Recurrent topics in Mairead B. Doyle's work include Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (8 papers) and Microbial infections and disease research (4 papers). Mairead B. Doyle is often cited by papers focused on Tuberculosis Research and Epidemiology (8 papers), Mycobacterium research and diagnosis (8 papers) and Microbial infections and disease research (4 papers). Mairead B. Doyle collaborates with scholars based in Ireland, United States and South Africa. Mairead B. Doyle's co-authors include Eamonn Gormley, Kevina McGill, J.D. Collins, Tara Fitzsimons, Eamon Costello, Margaret Good, Kieran G. Meade, Cliona O’Farrelly, Yingdong Zhao and David E. MacHugh and has published in prestigious journals such as PLoS ONE, BMC Genomics and Veterinary Microbiology.

In The Last Decade

Mairead B. Doyle

9 papers receiving 348 citations

Peers

Mairead B. Doyle
Tara Fitzsimons Ireland
A.R. McCarthy New Zealand
Wynand J. Goosen South Africa
Ahmed El Idrissi Italy
Dipesh Davé United Kingdom
Carly Kanipe United States
Claudine Karoui France
Wiebren Santema Netherlands
J Kazda Ireland
Thoen Co United States
Tara Fitzsimons Ireland
Mairead B. Doyle
Citations per year, relative to Mairead B. Doyle Mairead B. Doyle (= 1×) peers Tara Fitzsimons

Countries citing papers authored by Mairead B. Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Mairead B. Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mairead B. Doyle

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

All Works

10 of 10 papers shown
1.
Coad, Michael, Mairead B. Doyle, Sabine Steinbach, et al.. (2019). Simultaneous measurement of antigen-induced CXCL10 and IFN-γ enhances test sensitivity for bovine TB detection in cattle. Veterinary Microbiology. 230. 1–6. 18 indexed citations
2.
Browne, John A., et al.. (2017). IL-10 suppression of IFN-γ responses in tuberculin-stimulated whole blood from Mycobacterium bovis infected cattle. Veterinary Immunology and Immunopathology. 189. 36–42. 10 indexed citations
3.
Parsons, Sven D.C., Kevina McGill, Mairead B. Doyle, et al.. (2016). Antigen-Specific IP-10 Release Is a Sensitive Biomarker of Mycobacterium bovis Infection in Cattle. PLoS ONE. 11(5). e0155440–e0155440. 30 indexed citations
4.
Gormley, Eamonn, Mairead B. Doyle, Anthony Duignan, et al.. (2013). Identification of risk factors associated with disclosure of false positive bovine tuberculosis reactors using the gamma-interferon (IFNγ) assay. Veterinary Research. 44(1). 117–117. 32 indexed citations
5.
Shuralev, Eduard A., Mairead B. Doyle, Anthony Duignan, et al.. (2011). Application of the Enfer chemiluminescent multiplex ELISA system for the detection of Mycobacterium bovis infection in goats. Veterinary Microbiology. 154(3-4). 292–297. 14 indexed citations
6.
Meade, Kieran G., Eamonn Gormley, Mairead B. Doyle, et al.. (2007). Innate gene repression associated with Mycobacterium bovis infection in cattle: toward a gene signature of disease. BMC Genomics. 8(1). 400–400. 57 indexed citations
7.
Gormley, Eamonn, Mairead B. Doyle, Tara Fitzsimons, Kevina McGill, & J.D. Collins. (2005). Diagnosis of Mycobacterium bovis infection in cattle by use of the gamma-interferon (Bovigam®) assay. Veterinary Microbiology. 112(2-4). 171–179. 129 indexed citations
8.
Gormley, Eamonn, Mairead B. Doyle, Kevina McGill, et al.. (2004). The effect of the tuberculin test and the consequences of a delay in blood culture on the sensitivity of a gamma-interferon assay for the detection of Mycobacterium bovis infection in cattle. Veterinary Immunology and Immunopathology. 102(4). 413–420. 71 indexed citations
9.
10.
Gormley, Eamonn, et al.. (2003). Tuberculosis in cattle and its control: limitations to the use of the interferon-gamma assay in attested herds. Arrow@dit (Dublin Institute of Technology). 1 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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