Mari Morgan

4.8k total citations
9 papers, 69 citations indexed

About

Mari Morgan is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Epidemiology. According to data from OpenAlex, Mari Morgan has authored 9 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Critical Care and Intensive Care Medicine and 2 papers in Epidemiology. Recurrent topics in Mari Morgan's work include Clostridium difficile and Clostridium perfringens research (2 papers), Antibiotic Resistance in Bacteria (2 papers) and COVID-19 Clinical Research Studies (2 papers). Mari Morgan is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (2 papers), Antibiotic Resistance in Bacteria (2 papers) and COVID-19 Clinical Research Studies (2 papers). Mari Morgan collaborates with scholars based in United Kingdom, Australia and Sweden. Mari Morgan's co-authors include Thomas F. Smith, Lim Jones, Matthew Bull, Thomas R. Connor, Brian M. Forde, Scott A. Beatson, Robin Howe, Mandy Wootton, Melinda M. Ashcroft and Grant Hall and has published in prestigious journals such as Nature Communications, Journal of Clinical Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Mari Morgan

6 papers receiving 61 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mari Morgan United Kingdom	4	44	27	15	13	6	9	69
Suresh Prabhu India	7	35 0.8×	19 0.7×	24 1.6×	18 1.4×		19	96
Marisa Goff United States	4	29 0.7×	33 1.2×	29 1.9×	29 2.2×	23 3.8×	5	114
Tian Gong China	7	27 0.6×	11 0.4×	33 2.2×	25 1.9×		13	113
Gurpreet Brar United States	4	54 1.2×	12 0.4×	33 2.2×	26 2.0×		5	102
Noah Brazer United States	3	19 0.4×	6 0.2×	22 1.5×	34 2.6×	2 0.3×	6	72
Ivana Kern Germany	5	25 0.6×	33 1.2×	6 0.4×	5 0.4×		12	66
Graham T. Wehmeyer United States	6	10 0.2×	7 0.3×	19 1.3×	9 0.7×	5 0.8×	7	77
Adam DeZure United States	4	25 0.6×	10 0.4×	37 2.5×	12 0.9×		5	70
Rutendo E. Mapengo South Africa	3	21 0.5×	14 0.5×	24 1.6×	14 1.1×	1 0.2×	4	49
Anastasia Tsakmaklis Germany	7	26 0.6×	6 0.2×	20 1.3×	53 4.1×	8 1.3×	12	92

Countries citing papers authored by Mari Morgan

Since Specialization

Citations

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

Fields of papers citing papers by Mari Morgan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Morgan. A scholar is included among the top collaborators of Mari Morgan 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 Mari Morgan. Mari Morgan 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

Pacchiarini, Nicole, Caoimhe McKerr, Mari Morgan, Thomas R. Connor, & Christopher J. Williams. (2025). The potential of genomic epidemiology: capitalizing on its practical use for impact in the healthcare setting. Frontiers in Public Health. 13. 1504796–1504796.

Bull, Matthew, Mandy Wootton, Lim Jones, et al.. (2024). Genomic epidemiology reveals geographical clustering of multidrug-resistant Escherichia coli ST131 associated with bacteraemia in Wales. Nature Communications. 15(1). 1371–1371. 8 indexed citations

Hilvers, Ember, et al.. (2024). Clostridioides difficile infection following COVID-19: A nationwide analysis using routine surveillance data in Wales. Journal of Hospital Infection.

Beer, Jürg H., et al.. (2023). Mortality amongst hospitalized COVID-19 cases by acquisition and pandemic wave in Wales, UK, February 2020–March 2022. Journal of Hospital Infection. 143. 48–52. 1 indexed citations

Mentasti, M., Sophia David, Jane F. Turton, et al.. (2023). Clonal expansion and rapid characterization of Klebsiella pneumoniae ST1788, an otherwise uncommon strain spreading in Wales, UK. Microbial Genomics. 9(9). 1 indexed citations

O’Connell, Lauren A., Hibo Asad, Grant Hall, et al.. (2022). Detailed analysis of in-hospital transmission of SARS-CoV-2 using whole genome sequencing. Journal of Hospital Infection. 131. 23–33.

Morgan, Mari, David J. Allen, Amir Kirolos, et al.. (2019). Challenges of investigating a large food-borne norovirus outbreak across all branches of a restaurant group in the United Kingdom, October 2016. Eurosurveillance. 24(18). 6 indexed citations

Eyre, David W., R. H. Shaw, Helen Adams, et al.. (2018). WGS to determine the extent of Clostridioides difficile transmission in a high incidence setting in North Wales in 2015. Journal of Antimicrobial Chemotherapy. 74(4). 1092–1100. 7 indexed citations

Morgan, Mari & Thomas F. Smith. (1984). Evaluation of an enzyme-linked immunosorbent assay for the detection of herpes simplex virus antigen. Journal of Clinical Microbiology. 19(6). 730–732. 46 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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