Michael Coad

663 total citations
19 papers, 512 citations indexed

About

Michael Coad is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Michael Coad has authored 19 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 15 papers in Epidemiology and 6 papers in Surgery. Recurrent topics in Michael Coad's work include Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (14 papers) and Immune Response and Inflammation (5 papers). Michael Coad is often cited by papers focused on Tuberculosis Research and Epidemiology (18 papers), Mycobacterium research and diagnosis (14 papers) and Immune Response and Inflammation (5 papers). Michael Coad collaborates with scholars based in United Kingdom, Ireland and Switzerland. Michael Coad's co-authors include Adam O. Whelan, R. Glyn Hewinson, H. Martin Vordermeier, Shelley Rhodes, Derek Clifford, H. M. Vordermeier, D. J. Clifford, Paul Cockle, Gillian S. Dean and Martin Vordermeier and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Michael Coad

18 papers receiving 496 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Coad United Kingdom 14 412 383 110 96 82 19 512
Mairead B. Doyle Ireland 8 293 0.7× 271 0.7× 112 1.0× 58 0.6× 41 0.5× 10 362
R. Martyn Girvin United Kingdom 9 458 1.1× 469 1.2× 134 1.2× 108 1.1× 207 2.5× 9 642
A.R. McCarthy New Zealand 10 251 0.6× 233 0.6× 73 0.7× 88 0.9× 127 1.5× 14 407
Deanna Dalley United Kingdom 11 306 0.7× 218 0.6× 60 0.5× 51 0.5× 117 1.4× 14 369
Sergio Garbaccio Argentina 13 317 0.8× 240 0.6× 40 0.4× 89 0.9× 69 0.8× 33 406
Virginia Meikle Argentina 15 576 1.4× 457 1.2× 61 0.6× 199 2.1× 103 1.3× 22 718
Charlene Clarke South Africa 12 190 0.5× 176 0.5× 81 0.7× 67 0.7× 100 1.2× 24 354
Simona Forcella France 5 237 0.6× 203 0.5× 41 0.4× 37 0.4× 30 0.4× 6 350
Jon D. Gabbard United States 17 262 0.6× 373 1.0× 24 0.2× 93 1.0× 187 2.3× 29 671
Denise Keen New Zealand 5 296 0.7× 219 0.6× 36 0.3× 89 0.9× 171 2.1× 6 363

Countries citing papers authored by Michael Coad

Since Specialization
Citations

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

Fields of papers citing papers by Michael Coad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Coad. 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 Michael Coad. The network helps show where Michael Coad may publish in the future.

Co-authorship network of co-authors of Michael Coad

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

All Works

19 of 19 papers shown
1.
Singh, Mahavir, Michael Coad, Si Palmer, et al.. (2025). Optimization of a molecularly defined tuberculin formulation: recombinant fusion proteins and epitope surgery. Journal of Clinical Microbiology. 63(10). e0055225–e0055225.
2.
Holder, Thomas M., et al.. (2023). Vaccination of calves with Bacillus Calmette-Guerin Danish strain 1331 results in a duration of immunity of at least 52 weeks. Vaccine. 41(48). 7290–7296. 6 indexed citations
3.
Gibson, Amanda J., Sam Willcocks, Michael Coad, et al.. (2022). Defining the Genes Required for Survival of Mycobacterium bovis in the Bovine Host Offers Novel Insights into the Genetic Basis of Survival of Pathogenic Mycobacteria. mBio. 13(4). e0067222–e0067222. 6 indexed citations
4.
Steinbach, Sabine, Michael Coad, Kevina McGill, et al.. (2021). A molecularly defined skin test reagent for the diagnosis of bovine tuberculosis compatible with vaccination against Johne’s Disease. Scientific Reports. 11(1). 2929–2929. 15 indexed citations
5.
Steinbach, Sabine, Sasan Jalili‐Firoozinezhad, Sreenidhi Srinivasan, et al.. (2021). Temporal dynamics of intradermal cytokine response to tuberculin in Mycobacterium bovis BCG-vaccinated cattle using sampling microneedles. Scientific Reports. 11(1). 7074–7074. 9 indexed citations
6.
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
7.
Khatri, Bhagwati, Michael Coad, D. J. Clifford, et al.. (2012). A natural‐transmission model of bovine tuberculosis provides novel disease insights. Veterinary Record. 171(18). 448–448. 13 indexed citations
8.
Coad, Michael, D. J. Clifford, H. M. Vordermeier, & Adam O. Whelan. (2012). The consequences of vaccination with the Johne's disease vaccine, Gudair, on diagnosis of bovine tuberculosis. Veterinary Record. 172(10). 266–266. 31 indexed citations
9.
Whelan, Adam O., et al.. (2011). Lack of correlation between BCG-induced tuberculin skin test sensitisation and protective immunity in cattle. Vaccine. 29(33). 5453–5458. 40 indexed citations
10.
Schiller, Irene, H. Martin Vordermeier, W. Ray Waters, et al.. (2010). Bovine tuberculosis: Effect of the tuberculin skin test on in vitro interferon gamma responses. Veterinary Immunology and Immunopathology. 136(1-2). 1–11. 63 indexed citations
11.
12.
Whelan, Adam O., Michael Coad, Paul Cockle, et al.. (2009). Revisiting Host Preference in the Mycobacterium tuberculosis Complex: Experimental Infection Shows M. tuberculosis H37Rv to Be Avirulent in Cattle. PLoS ONE. 5(1). e8527–e8527. 49 indexed citations
13.
Dean, Gillian S., Shelley Rhodes, Michael Coad, et al.. (2008). Isoniazid treatment of Mycobacterium bovis in cattle as a model for human tuberculosis. Tuberculosis. 88(6). 586–594. 21 indexed citations
14.
Coad, Michael, Sara H. Downs, Peter A. Durr, et al.. (2008). Blood‐based assays to detect Mycobacterium bovis ‐infected cattle missed by tuberculin skin testing. Veterinary Record. 162(12). 382–383. 30 indexed citations
15.
Sopp, P., Michael Coad, R. Glyn Hewinson, et al.. (2008). Development of a simple, sensitive, rapid test which discriminates BCG-vaccinated from Mycobacterium bovis-infected cattle. Vaccine. 26(43). 5470–5476. 11 indexed citations
16.
Rhodes, Shelley, Jason Sawyer, Adam O. Whelan, et al.. (2007). Is Interleukin-4δ3 Splice Variant Expression in Bovine Tuberculosis a Marker of Protective Immunity?. Infection and Immunity. 75(6). 3006–3013. 19 indexed citations
17.
Coad, Michael, R. Glyn Hewinson, D. Clifford, H. M. Vordermeier, & Adam O. Whelan. (2007). Influence of skin testing and blood storage on interferon‐γ production in cattle affected naturally with Mycobacterium bovis. Veterinary Record. 160(19). 660–662. 14 indexed citations
18.
Dean, Gillian S., Shelley Rhodes, Michael Coad, et al.. (2005). Minimum Infective Dose of Mycobacterium bovis in Cattle. Infection and Immunity. 73(10). 6467–6471. 82 indexed citations
19.
Whelan, Adam O., et al.. (2004). Influence of skin testing and overnight sample storage on blood‐based diagnosis of bovine tuberculosis. Veterinary Record. 155(7). 204–206. 15 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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