Kate E. Mackin

1.4k total citations · 1 hit paper
15 papers, 1.0k citations indexed

About

Kate E. Mackin is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Kate E. Mackin has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Kate E. Mackin's work include Clostridium difficile and Clostridium perfringens research (13 papers), Viral gastroenteritis research and epidemiology (10 papers) and Microscopic Colitis (4 papers). Kate E. Mackin is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (13 papers), Viral gastroenteritis research and epidemiology (10 papers) and Microscopic Colitis (4 papers). Kate E. Mackin collaborates with scholars based in Australia, United States and Sweden. Kate E. Mackin's co-authors include Dena Lyras, Glen P. Carter, Julian I. Rood, Pauline M. Howarth, M. Hutton, Connie H. Y. Wong, Robert J. Moore, Linda J. Mason, Michael D. Hill and Kulmira Nurgali and has published in prestigious journals such as Nature Medicine, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Kate E. Mackin

14 papers receiving 994 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Translocation and dissemination of commensal bacteria in post-stroke infection

2016 334 citations Dragana Stanley, Linda J. Mason et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate E. Mackin Australia	11	653	340	329	164	139	15	1.0k
Rogier E. Ooijevaar Netherlands	12	754 1.2×	421 1.2×	579 1.8×	201 1.2×	26 0.2×	18	1.2k
Karuna E.W. Vendrik Netherlands	11	291 0.4×	120 0.4×	336 1.0×	58 0.4×	26 0.2×	17	567
Wimonrat Panpetch Thailand	18	252 0.4×	91 0.3×	450 1.4×	98 0.6×	23 0.2×	23	789
Dag Henrik Reikvam Norway	10	211 0.3×	87 0.3×	436 1.3×	89 0.5×	23 0.2×	18	732
Ari Grinspan United States	16	476 0.7×	296 0.9×	464 1.4×	178 1.1×	11 0.1×	45	922
Yanhai Feng China	10	82 0.1×	120 0.4×	445 1.4×	78 0.5×	66 0.5×	19	694
Jordana Campbell Australia	14	544 0.8×	270 0.8×	500 1.5×	130 0.8×	13 0.1×	23	843
Christine Baird United States	11	178 0.3×	85 0.3×	358 1.1×	80 0.5×	15 0.1×	19	601
Christoph Koidl Austria	16	552 0.8×	540 1.6×	121 0.4×	30 0.2×	22 0.2×	28	958
Ashley Steed United States	11	224 0.3×	243 0.7×	366 1.1×	20 0.1×	21 0.2×	14	755

Countries citing papers authored by Kate E. Mackin

Since Specialization

Citations

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

Fields of papers citing papers by Kate E. Mackin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate E. Mackin

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

All Works

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15 of 15 papers shown

Mackin, Kate E., Dianna M. Hocking, Dena Lyras, et al.. (2018). Antibacterial activity of rhodomyrtone on Clostridium difficile vegetative cells and spores in vitro. International Journal of Antimicrobial Agents. 52(5). 724–729. 15 indexed citations

Hutton, M., et al.. (2017). Bovine antibodies targeting primary and recurrent Clostridium difficile disease are a potent antibiotic alternative. Scientific Reports. 7(1). 3665–3665. 32 indexed citations

Stanley, Dragana, Linda J. Mason, Kate E. Mackin, et al.. (2016). Translocation and dissemination of commensal bacteria in post-stroke infection. Nature Medicine. 22(11). 1277–1284. 334 indexed citations breakdown →

Mackin, Kate E., Briony Elliott, Despina Kotsanas, et al.. (2015). Molecular characterization and antimicrobial susceptibilities of Clostridium difficile clinical isolates from Victoria, Australia. Anaerobe. 34. 80–83. 8 indexed citations

Mackin, Kate E. & Dena Lyras. (2015). The complex factors that contribute to Clostridium difficile infection. Microbiology Australia. 36(3). 104–106. 1 indexed citations

Johanesen, Priscilla, Kate E. Mackin, M. Hutton, et al.. (2015). Disruption of the Gut Microbiome: Clostridium difficile Infection and the Threat of Antibiotic Resistance. Genes. 6(4). 1347–1360. 75 indexed citations

Stuart, Rhonda L., Kate E. Mackin, Glen P. Carter, et al.. (2014). Emergence of a Ribotype 244 Strain of Clostridium difficile Associated With Severe Disease and Related to the Epidemic Ribotype 027 Strain. Clinical Infectious Diseases. 58(12). 1723–1730. 106 indexed citations

Adams, Vicki, Lauren Stevenson, Jackie K. Cheung, et al.. (2014). Utility of the Clostridial Site-Specific Recombinase TnpX To Clone Toxic-Product-Encoding Genes and Selectively Remove Genomic DNA Fragments. Applied and Environmental Microbiology. 80(12). 3597–3603. 7 indexed citations

Mackin, Kate E., Glen P. Carter, Pauline M. Howarth, Julian I. Rood, & Dena Lyras. (2013). Spo0A Differentially Regulates Toxin Production in Evolutionarily Diverse Strains of Clostridium difficile. PLoS ONE. 8(11). e79666–e79666. 59 indexed citations

10.

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

11.

Hutton, M., Kate E. Mackin, Anjana Chakravorty, & Dena Lyras. (2013). Small animal models for the study ofClostridium difficiledisease pathogenesis. FEMS Microbiology Letters. 352(2). 140–149. 64 indexed citations

12.

Mackin, Kate E., et al.. (2012). ASM Affairs, March 2012. Microbiology Australia. 33(1). 42–46. 1 indexed citations

13.

Carter, Glen P., Gill Douce, Revathi Govind, et al.. (2011). The Anti-Sigma Factor TcdC Modulates Hypervirulence in an Epidemic BI/NAP1/027 Clinical Isolate of Clostridium difficile. PLoS Pathogens. 7(10). e1002317–e1002317. 119 indexed citations

14.

Richards, Michael J., James J. Knox, Briony Elliott, et al.. (2011). Severe infection with Clostridium difficile PCR ribotype 027 acquired in Melbourne, Australia. The Medical Journal of Australia. 194(7). 369–371. 40 indexed citations

15.

Carter, Glen P., Dena Lyras, David L. Allen, et al.. (2007). Binary Toxin Production in Clostridium difficile Is Regulated by CdtR, a LytTR Family Response Regulator. Journal of Bacteriology. 189(20). 7290–7301. 110 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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