Kate McAllister

753 total citations
3 papers, 47 citations indexed

About

Kate McAllister is a scholar working on Microbiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Kate McAllister has authored 3 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Microbiology, 1 paper in Infectious Diseases and 1 paper in Small Animals. Recurrent topics in Kate McAllister's work include Microbial infections and disease research (2 papers), Systemic Lupus Erythematosus Research (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). Kate McAllister is often cited by papers focused on Microbial infections and disease research (2 papers), Systemic Lupus Erythematosus Research (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). Kate McAllister collaborates with scholars based in United Kingdom, Sweden and Australia. Kate McAllister's co-authors include Ann W Morgan, Jeffrey D. Greenberg, Dimitrios A. Pappas, Dorothée Diogo, P Wordsworth, Anthony G. Wilson, Gisela Orozco, Peter K. Gregersen, Anne Barton and Joel M. Kremer and has published in prestigious journals such as The Veterinary Journal, Arthritis & Rheumatism and PubMed.

In The Last Decade

Kate McAllister

3 papers receiving 47 citations

Peers

Kate McAllister
Kate McAllister
Citations per year, relative to Kate McAllister Kate McAllister (= 1×) peers Xiangyu Fang

Countries citing papers authored by Kate McAllister

Since Specialization
Citations

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

Fields of papers citing papers by Kate McAllister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate McAllister

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

All Works

3 of 3 papers shown
1.
Marshall, A.H., et al.. (2023). Using machine learning to improve bovine tuberculosis control in herd level outbreaks. PubMed. 2023. 1–4. 2 indexed citations
2.
Courcier, Emily, Alan Gordon, Tom Ford, et al.. (2021). The regression of the bovine tuberculin reaction: Results from the Reactor Quality Assurance study in Northern Ireland. The Veterinary Journal. 272. 105664–105664. 2 indexed citations
3.
McAllister, Kate, Annie Yarwood, John Bowes, et al.. (2013). Brief Report: Identification of BACH2 and RAD51B as Rheumatoid Arthritis Susceptibility Loci in a Meta‐Analysis of Genome‐Wide Data. Arthritis & Rheumatism. 65(12). 3058–3062. 43 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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