Michele M. Squire

737 total citations
11 papers, 574 citations indexed

About

Michele M. Squire is a scholar working on Infectious Diseases, Epidemiology and Small Animals. According to data from OpenAlex, Michele M. Squire has authored 11 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Epidemiology and 1 paper in Small Animals. Recurrent topics in Michele M. Squire's work include Viral gastroenteritis research and epidemiology (11 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Microscopic Colitis (7 papers). Michele M. Squire is often cited by papers focused on Viral gastroenteritis research and epidemiology (11 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Microscopic Colitis (7 papers). Michele M. Squire collaborates with scholars based in Australia, Netherlands and Sweden. Michele M. Squire's co-authors include Thomas V. Riley, Daniel R. Knight, Deirdre A. Collins, Ed J. Kuijper, E de Boer, M.P.M. Hensgens, Miriam Koene, E. C. Keessen, Len J.A. Lipman and Kate E. Mackin and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Frontiers in Microbiology.

In The Last Decade

Michele M. Squire

10 papers receiving 569 citations

Peers

Michele M. Squire
E. C. Keessen Netherlands
Richard Kirton United Kingdom
Michelle Cairns United Kingdom
Georgina Davis United Kingdom
A. Fiedler Austria
Tim Du Canada
A. Indra Austria
E. C. Keessen Netherlands
Michele M. Squire
Citations per year, relative to Michele M. Squire Michele M. Squire (= 1×) peers E. C. Keessen

Countries citing papers authored by Michele M. Squire

Since Specialization
Citations

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

Fields of papers citing papers by Michele M. Squire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele M. Squire. 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 Michele M. Squire. The network helps show where Michele M. Squire may publish in the future.

Co-authorship network of co-authors of Michele M. Squire

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

All Works

11 of 11 papers shown
1.
Knight, Daniel R., Michele M. Squire, Deirdre A. Collins, & Thomas V. Riley. (2017). Genome Analysis of Clostridium difficile PCR Ribotype 014 Lineage in Australian Pigs and Humans Reveals a Diverse Genetic Repertoire and Signatures of Long-Range Interspecies Transmission. Frontiers in Microbiology. 7. 2138–2138. 131 indexed citations
2.
Putsathit, Papanin, Daniel R. Knight, Michele M. Squire, et al.. (2015). Persistence of Clostridium difficile RT 237 infection in a Western Australian piggery. Anaerobe. 37. 62–66. 21 indexed citations
3.
Squire, Michele M.. (2015). Clostridium difficile and idiopathic neonatal diarrhoea in Australian piglets. UWA Profiles and Research Repository (University of Western Australia).
4.
Squire, Michele M., Daniel R. Knight, & Thomas V. Riley. (2015). Community-acquired Clostridium difficile infection and Australian food animals. Microbiology Australia. 36(3). 111–113. 5 indexed citations
5.
Knight, Daniel R., Michele M. Squire, & Thomas V. Riley. (2014). Laboratory Detection of Clostridium difficile in Piglets in Australia. Journal of Clinical Microbiology. 52(11). 3856–3862. 24 indexed citations
6.
Knight, Daniel R., Michele M. Squire, & Thomas V. Riley. (2014). Nationwide Surveillance Study of Clostridium difficile in Australian Neonatal Pigs Shows High Prevalence and Heterogeneity of PCR Ribotypes. Applied and Environmental Microbiology. 81(1). 119–123. 71 indexed citations
7.
Foster, Niki F., et al.. (2013). Comparison of ChromID C. difficile agar and cycloserine-cefoxitin-fructose agar for the recovery of Clostridium difficile. Pathology. 45(5). 495–500. 13 indexed citations
8.
Squire, Michele M., Glen P. Carter, Kate E. Mackin, et al.. (2013). Novel Molecular Type ofClostridium difficilein Neonatal Pigs, Western Australia. Emerging infectious diseases. 19(5). 790–2. 36 indexed citations
9.
Squire, Michele M. & Thomas V. Riley. (2012). Clostridium difficile Infection in Humans and Piglets: A ‘One Health’ Opportunity. Current topics in microbiology and immunology. 365. 299–314. 44 indexed citations
10.
Hensgens, M.P.M., E. C. Keessen, Michele M. Squire, et al.. (2012). Clostridium difficile infection in the community: a zoonotic disease?. Clinical Microbiology and Infection. 18(7). 635–645. 227 indexed citations
11.
Squire, Michele M. & Thomas V. Riley. (2012). Clostridium difficile infection: the next big thing!. Microbiology Australia. 33(4). 163–164. 2 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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