Miriam Barlow

3.5k total citations
38 papers, 2.3k citations indexed

About

Miriam Barlow is a scholar working on Molecular Medicine, Molecular Biology and Endocrinology. According to data from OpenAlex, Miriam Barlow has authored 38 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Medicine, 16 papers in Molecular Biology and 12 papers in Endocrinology. Recurrent topics in Miriam Barlow's work include Antibiotic Resistance in Bacteria (28 papers), Evolution and Genetic Dynamics (9 papers) and Vibrio bacteria research studies (8 papers). Miriam Barlow is often cited by papers focused on Antibiotic Resistance in Bacteria (28 papers), Evolution and Genetic Dynamics (9 papers) and Vibrio bacteria research studies (8 papers). Miriam Barlow collaborates with scholars based in United States, Netherlands and Austria. Miriam Barlow's co-authors include Barry G. Hall, B G Hall, Hande Acar Kirit, Merijn L.M. Salverda, J. Arjan G. M. de Visser, Fred C. Tenover, Kristina Crona, Devin Greene, Stephen J. Salipante and Joanna E. Mroczkowska and has published in prestigious journals such as PLoS ONE, Genetics and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Miriam Barlow

37 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miriam Barlow United States	25	1.2k	1.0k	544	443	412	38	2.3k
Allison J. Lopatkin United States	24	955 0.8×	1.1k 1.1×	579 1.1×	533 1.2×	223 0.5×	45	2.5k
Jerónimo Rodríguez-Beltrán Spain	20	853 0.7×	690 0.7×	463 0.9×	354 0.8×	256 0.6×	40	1.7k
Stephen M. Kwong Australia	20	1.2k 1.0×	1.1k 1.0×	359 0.7×	567 1.3×	407 1.0×	32	2.4k
Alicia Fajardo Lubián Australia	13	850 0.7×	767 0.8×	314 0.6×	417 0.9×	231 0.6×	22	1.8k
Margarita Poza Spain	30	1.2k 1.0×	1.2k 1.1×	249 0.5×	187 0.4×	654 1.6×	71	2.4k
Sophie Magnet United States	20	1.4k 1.1×	1.7k 1.7×	530 1.0×	276 0.6×	458 1.1×	34	3.1k
Orit Gefen Israel	12	1.1k 0.9×	1.5k 1.5×	1.0k 1.9×	234 0.5×	400 1.0×	16	3.1k
Daniel V. Zurawski United States	28	1.1k 0.9×	1.1k 1.1×	288 0.5×	164 0.4×	704 1.7×	60	2.6k
Chew Chieng Yeo Malaysia	26	733 0.6×	787 0.8×	350 0.6×	187 0.4×	462 1.1×	88	1.7k
Ramakrishnan Srikumar Canada	16	1.1k 0.9×	1.0k 1.0×	538 1.0×	149 0.3×	302 0.7×	20	1.8k

Countries citing papers authored by Miriam Barlow

Since Specialization

Citations

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

Fields of papers citing papers by Miriam Barlow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Barlow

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

All Works

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20 of 20 papers shown

Barlow, Miriam & Fred C. Tenover. (2023). Phylogenetic predictions of carbapenemase activity from the Guiana extended-spectrum (GES) family of β-lactamases. JAC-Antimicrobial Resistance. 6(1). dlad150–dlad150. 1 indexed citations

Barlow, Miriam, et al.. (2023). The Klebsiella pneumoniae carbapenemase (KPC) β-Lactamase Has Evolved in Response to Ceftazidime Avibactam. Antibiotics. 13(1). 40–40. 1 indexed citations

Mira, Portia, et al.. (2021). Adaptive Processes Change as Multiple Functions Evolve. Antimicrobial Agents and Chemotherapy. 65(4). 6 indexed citations

Camps, Manel, et al.. (2020). Growth rate assays reveal fitness consequences of β-lactamases. PLoS ONE. 15(1). e0228240–e0228240. 3 indexed citations

Mira, Portia, Kristina Crona, Devin Greene, et al.. (2015). Rational Design of Antibiotic Treatment Plans: A Treatment Strategy for Managing Evolution and Reversing Resistance. PLoS ONE. 10(5). e0122283–e0122283. 37 indexed citations

Mira, Portia, et al.. (2015). Adaptive Landscapes of Resistance Genes Change as Antibiotic Concentrations Change. Molecular Biology and Evolution. 32(10). 2707–2715. 37 indexed citations

Hall, Barry G., et al.. (2013). Using Complete Genome Comparisons to Identify Sequences Whose Presence Accurately Predicts Clinically Important Phenotypes. PLoS ONE. 8(7). e68901–e68901. 3 indexed citations

Hall, Barry G., et al.. (2013). Clustering Acinetobacter Strains by Optical Mapping. Genome Biology and Evolution. 5(6). 1176–1184. 3 indexed citations

Hall, B G, et al.. (2013). Growth Rates Made Easy. Molecular Biology and Evolution. 31(1). 232–238. 373 indexed citations

10.

Crona, Kristina, Devin Greene, & Miriam Barlow. (2012). The peaks and geometry of fitness landscapes. Journal of Theoretical Biology. 317. 1–10. 41 indexed citations

11.

Seronello, Scott, et al.. (2011). Ethanol and Reactive Species Increase Basal Sequence Heterogeneity of Hepatitis C Virus and Produce Variants with Reduced Susceptibility to Antivirals. PLoS ONE. 6(11). e27436–e27436. 29 indexed citations

12.

Vries, Lisbeth Elvira de, Yvonne Vallès, Yvonne Agersø, et al.. (2011). The Gut as Reservoir of Antibiotic Resistance: Microbial Diversity of Tetracycline Resistance in Mother and Infant. PLoS ONE. 6(6). e21644–e21644. 102 indexed citations

13.

Salverda, Merijn L.M., J. Arjan G. M. de Visser, & Miriam Barlow. (2010). Natural evolution of TEM-1 β-lactamase: experimental reconstruction and clinical relevance. FEMS Microbiology Reviews. 34(6). 1015–1036. 225 indexed citations

14.

Barlow, Miriam. (2009). What Antimicrobial Resistance Has Taught Us About Horizontal Gene Transfer. Methods in molecular biology. 532. 397–411. 199 indexed citations

15.

Barlow, Miriam, et al.. (2008). Evolution and Recombination of the Plasmidic qnr Alleles. Journal of Molecular Evolution. 67(1). 103–110. 12 indexed citations

16.

Barlow, Miriam, et al.. (2008). Evidence for recombination among the alleles encoding TEM and SHV -lactamases. Journal of Antimicrobial Chemotherapy. 63(2). 256–259. 9 indexed citations

17.

Barlow, Miriam, et al.. (2005). Phylogenetic Analysis as a Tool in Molecular Epidemiology of Infectious Diseases. Annals of Epidemiology. 16(3). 157–169. 31 indexed citations

18.

Hall, Barry G. & Miriam Barlow. (2004). Evolution of the serine β-lactamases: past, present and future. Drug Resistance Updates. 7(2). 111–123. 218 indexed citations

19.

Hall, Barry G., Stephen J. Salipante, & Miriam Barlow. (2003). The Metallo-?-Lactamases Fall into Two Distinct Phylogenetic Groups. Journal of Molecular Evolution. 57(3). 249–254. 47 indexed citations

20.

Barlow, Miriam & Barry G. Hall. (2002). Phylogenetic Analysis Shows That the OXA b-Lactamase Genes Have Been on Plasmids for Millions of Years. Journal of Molecular Evolution. 55(3). 314–321. 95 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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