Frank M. Aarestrup

491 papers receiving 47.9k citations

Frank M. Aarestrup's Hit Papers

Epidemiological and genomic evolution of the ongoing outbreak of clade Ib mpox virus in the eastern Democratic Republic of the Congo 2025 · 25 citations
250+4+8Years since publication50010001.5k2.0k

Peers

Frank M. Aarestrup
Comparison fields: 5 of 195
  • Molecular Medicine 18.1k
  • Endocrinology 9.9k
  • Applied Microbiology and Biotechnology 1.7k
  • Food Science 14.8k
  • Pollution 8.5k
Replace Fernando Baquero with:
Fernando Baquero Spain
Patrice M. Courvalin France
Štefan Schwarz Germany
Ole Lund Denmark
Stephen G. Baker United Kingdom
Henrik Hasman Denmark
Neil Woodford United Kingdom
Timothy Rutland Walsh United Kingdom
Laura J. V. Piddock United Kingdom
Yang Wang China
Frank M. Aarestrup relative to Fernando Baquero Spain Fernando Baquero's profile →
Citations per field
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Fernando Baquero · 1×
Citations per year

Countries citing papers authored by Frank M. Aarestrup

Since Specialization
Citations

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

Fields of papers citing papers by Frank M. Aarestrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank M. Aarestrup. 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 Frank M. Aarestrup. The network helps show where Frank M. Aarestrup may publish in the future.

Co-authors

The 25 scholars most cited alongside Frank M. Aarestrup, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank M. Aarestrup Line = papers co-authored together Frank M. Aarestrup links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 506 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of acquired antimicrobial resistance genes
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20124123
2
In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing
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20143725
3
ResFinder 4.0 for predictions of phenotypes from genotypes
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20202336
4
Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria
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20121883
5
Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli
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20141119
6
Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage
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2019864
7
Staphylococcus aureus CC398: Host Adaptation and Emergence of Methicillin Resistance in Livestock
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2012738
8
Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms
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2014736
9
Rapid and Easy In Silico Serotyping of Escherichia coli Isolates by Use of Whole-Genome Sequencing Data
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2015712
10
Rapid and precise alignment of raw reads against redundant databases with KMA
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2018641
11
PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens
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2017631
12
Quinolone and Macrolide Resistance in Campylobacter jejuni and C. coli: Resistance Mechanisms and Trends in Human Isolates
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2001592
13
Global Monitoring of Salmonella Serovar Distribution from the World Health Organization Global Foodborne Infections Network Country Data Bank: Results of Quality Assured Laboratories from 2001 to 2007
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2011544
14 2001513
15
Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder
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2020504
16
PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data
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2013495
17
The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee
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2016457
18
ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes
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2022451
19 2013428
20 2000422

About Frank M. Aarestrup

Frank M. Aarestrup is a scholar working on Molecular Medicine, Food Science, Infectious Diseases, Endocrinology and Microbiology, having authored 506 papers that have together received 49.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (127 papers), Antibiotic Resistance in Bacteria (116 papers), Antimicrobial Resistance in Staphylococcus (97 papers), Pharmaceutical and Antibiotic Environmental Impacts (63 papers), Bacteriophages and microbial interactions (55 papers), Microbial infections and disease research (49 papers), Bacterial Identification and Susceptibility Testing (44 papers) and Vibrio bacteria research studies (43 papers). The work is most often cited by research in Molecular Medicine (18.1k citations), Endocrinology (9.9k citations), Applied Microbiology and Biotechnology (1.7k citations), Food Science (14.8k citations) and Pollution (8.5k citations). Frank M. Aarestrup has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Henrik Hasman, Ole Lund, Ea Zankari, Salvatore Cosentino, Mette Voldby Larsen, Simon Rasmussen, Rolf Sommer Kaas, René S. Hendriksen, Henrik Caspar Wegener and Mikkel V. Larsen. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Veterinary Microbiology, Journal of Clinical Microbiology, PLoS ONE and Microbial Drug Resistance.

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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