Kirsten E. Bailey

46 total papers · 911 total citations
30 papers, 605 citations indexed

About

Kirsten E. Bailey is a scholar working on Clinical Biochemistry, Applied Microbiology and Biotechnology and Infectious Diseases. According to data from OpenAlex, Kirsten E. Bailey has authored 30 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Clinical Biochemistry, 9 papers in Applied Microbiology and Biotechnology and 8 papers in Infectious Diseases. Recurrent topics in Kirsten E. Bailey's work include Bacterial Identification and Susceptibility Testing (16 papers), Antibiotic Use and Resistance (9 papers) and Veterinary Practice and Education Studies (6 papers). Kirsten E. Bailey is often cited by papers focused on Bacterial Identification and Susceptibility Testing (16 papers), Antibiotic Use and Resistance (9 papers) and Veterinary Practice and Education Studies (6 papers). Kirsten E. Bailey collaborates with scholars based in Australia, United States and Canada. Kirsten E. Bailey's co-authors include James R. Gilkerson, Glenn F. Browning, Laura Y. Hardefeldt, Helen Billman‐Jacobe, Mark A. Stevenson, Karin Thursky, Michael D. Shields, Philip D. Sloane, Mary M. Mitchell and John Dallara and has published in prestigious journals such as Journal of Accounting Research, Veterinary Microbiology and Veterinary Record.

In The Last Decade

Kirsten E. Bailey

27 papers receiving 581 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kirsten E. Bailey	160	154	126	83	76	30	605
Laura Y. Hardefeldt	259 1.6×	246 1.6×	123 1.0×	118 1.4×	3 0.0×	47	611
Peter Noble	62 0.4×	60 0.4×	94 0.7×	54 0.7×	3 0.0×	31	694
Stephen D. Cole	43 0.3×	68 0.4×	157 1.2×	14 0.2×	5 0.1×	44	583
Xinxin Lu	41 0.3×	146 0.9×	112 0.9×	18 0.2×	70 0.9×	60	637
James Stewart	17 0.1×	25 0.2×	69 0.5×	11 0.1×	32 0.4×	30	513
Wael Elamin	87 0.5×	43 0.3×	131 1.0×	8 0.1×	11 0.1×	38	606
Gwen Rees	28 0.2×	29 0.2×	28 0.2×	64 0.8×	5 0.1×	34	501
D.M. Boothe	37 0.2×	92 0.6×	85 0.7×	89 1.1×	2 0.0×	29	566
Hsiang-Kuang Tseng	29 0.2×	33 0.2×	269 2.1×	34 0.4×	16 0.2×	31	598
R Amatya	50 0.3×	81 0.5×	186 1.5×	17 0.2×	2 0.0×	59	572

Countries citing papers authored by Kirsten E. Bailey

Since Specialization

Citations

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

Fields of papers citing papers by Kirsten E. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirsten E. Bailey. 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 Kirsten E. Bailey. The network helps show where Kirsten E. Bailey may publish in the future.

Co-authorship network of co-authors of Kirsten E. Bailey

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

All Works

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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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