Kevin Barratt

454 total citations
9 papers, 261 citations indexed

About

Kevin Barratt is a scholar working on Epidemiology, Infectious Diseases and Microbiology. According to data from OpenAlex, Kevin Barratt has authored 9 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Microbiology. Recurrent topics in Kevin Barratt's work include Respiratory viral infections research (3 papers), Bacterial Infections and Vaccines (3 papers) and Legionella and Acanthamoeba research (2 papers). Kevin Barratt is often cited by papers focused on Respiratory viral infections research (3 papers), Bacterial Infections and Vaccines (3 papers) and Legionella and Acanthamoeba research (2 papers). Kevin Barratt collaborates with scholars based in New Zealand, Australia and Germany. Kevin Barratt's co-authors include Trevor P. Anderson, Anja Werno, David R. Murdoch, Nele Wellinghausen, Hans‐Jörg Linde, Udo Reischl, Olfert Landt, Norbert Lehn, Lance Jennings and Stephen T. Chambers and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Journal of Infection.

In The Last Decade

Kevin Barratt

9 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin Barratt New Zealand	7	132	96	67	67	60	9	261
Tatiana Travis United States	7	144 1.1×	95 1.0×	135 2.0×	105 1.6×	19 0.3×	7	352
Kathleen A. Thurman United States	15	409 3.1×	41 0.4×	57 0.9×	48 0.7×	292 4.9×	16	521
P. Pedroso Spain	6	242 1.8×	134 1.4×	44 0.7×	56 0.8×	53 0.9×	6	383
Nikolay Mayanskiy Russia	11	188 1.4×	46 0.5×	46 0.7×	43 0.6×	93 1.6×	43	355
L J Egler Nigeria	9	179 1.4×	93 1.0×	50 0.7×	54 0.8×	110 1.8×	10	340
Violeta Spaniol Switzerland	11	146 1.1×	33 0.3×	68 1.0×	37 0.6×	52 0.9×	14	299
Sherilynn Vogel United States	9	106 0.8×	25 0.3×	241 3.6×	55 0.8×	16 0.3×	9	322
Fernando Artiles Spain	9	61 0.5×	54 0.6×	46 0.7×	79 1.2×	15 0.3×	22	236
Eisin McDonald United Kingdom	7	113 0.9×	51 0.5×	54 0.8×	23 0.3×	70 1.2×	11	282
Silje Vermedal Hoegh Denmark	11	122 0.9×	14 0.1×	85 1.3×	38 0.6×	100 1.7×	21	340

Countries citing papers authored by Kevin Barratt

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Barratt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Barratt

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

All Works

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9 of 9 papers shown

Dilcher, Meik, et al.. (2018). Monitoring Viral Genetic Variation as a Tool To Improve Molecular Diagnostics for Mumps Virus. Journal of Clinical Microbiology. 56(10). 6 indexed citations

Barratt, Kevin, et al.. (2017). Comparison of the fast track diagnostics respiratory 21 and Seegene Allplex multiplex polymerase chain reaction assays for the detection of respiratory viruses. British Journal of Biomedical Science. 74(2). 85–89. 10 indexed citations

Murdoch, David R., Trevor P. Anderson, Kevin Barratt, et al.. (2013). Impact of Routine Systematic Polymerase Chain Reaction Testing on Case Finding for Legionnaires’ Disease: A Pre–Post Comparison Study. Clinical Infectious Diseases. 57(9). 1275–1281. 56 indexed citations

Anderson, Trevor P., et al.. (2013). Comparison of four multiplex PCR assays for the detection of viral pathogens in respiratory specimens. Journal of Virological Methods. 191(2). 118–121. 48 indexed citations

Whiley, David M., Trevor P. Anderson, Kevin Barratt, et al.. (2006). Evidence that the gonococcal porA pseudogene is present in a broad range of Neisseria gonorrhoeae strains; suitability as a diagnostic target. Pathology. 38(5). 445–448. 27 indexed citations

Mills, Graham, et al.. (2006). Meningococcal disease deaths and the frequency of antibiotic administration delays. Journal of Infection. 54(6). 551–557. 19 indexed citations

Mills, Graham, Kevin Barratt, D.M. Hood, et al.. (2006). Elevated procalcitonin as a diagnostic marker in meningococcal disease. European Journal of Clinical Microbiology & Infectious Diseases. 25(8). 501–509. 23 indexed citations

Reischl, Udo, Hans‐Jörg Linde, Norbert Lehn, et al.. (2002). Direct Detection and Differentiation of Legionella spp. and Legionella pneumophila in Clinical Specimens by Dual-Color Real-Time PCR and Melting Curve Analysis. Journal of Clinical Microbiology. 40(10). 3814–3817. 68 indexed citations

Barratt, Kevin. (1996). Avoid patient abandonment--how to properly end a relationship with your patient.. PubMed. 95(12). 875–7. 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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