Frank M. Aarestrup

63.6k citations
450 papers · 41.2k · 15 hit papers · h-index 98

Impact in

Papers in

Frank M. Aarestrup

435 papers receiving 39.7k citations

Frank M. Aarestrup's Hit Papers

Ongoing mpox outbreak in Kamituga, South Kivu province, associated with monkeypox virus of a novel Clade I sub-lineage, Democratic Republic of the Congo, 2024 2024 · 64 citations
640+8+16Years since publication10002.0k3.0k

Peers

Frank M. Aarestrup
Comparison fields: 5 of 194
  • Molecular Medicine 15.0k
  • Endocrinology 8.8k
  • Food Science 13.3k
  • Applied Microbiology and Biotechnology 1.2k
  • Infectious Diseases 10.2k
Replace Patrice Courvalin with:
Patrice Courvalin France
Julian Parkhill United Kingdom
Fernando Baquero Spain
Henrik Hasman Denmark
Ole Lund Denmark
Štefan Schwarz Germany
Cármen Torres Spain
Fred C. Tenover United States
Mary Jane Ferraro United States
Laura J. V. Piddock United Kingdom
Frank M. Aarestrup relative to Patrice Courvalin France Patrice Courvalin's profile →
Citations per field
00.5×4.7×
Patrice Courvalin · 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 450 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of acquired antimicrobial resistance genes
Hit paper breakdown →
20123912
2
In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing
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20143463
3
Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria
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20121795
4
Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli
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20141060
5
Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms
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2014695
6
Rapid and EasyIn SilicoSerotyping of Escherichia coli Isolates by Use of Whole-Genome Sequencing Data
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2015677
7
Quinolone and Macrolide Resistance in Campylobacter jejuni and C. coli: Resistance Mechanisms and Trends in Human Isolates
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2001587
8
PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens
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2017581
9
Rapid and precise alignment of raw reads against redundant databases with KMA
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2018579
10
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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2011534
11
Effect of Abolishment of the Use of Antimicrobial Agents for Growth Promotion on Occurrence of Antimicrobial Resistance in Fecal Enterococci from Food Animals in Denmark
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2001514
12
PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data
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2013468
13
Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder
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2020452
14 2000422
15 2013407
16 1999401
17
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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2022397
18 2008374
19 1997365
20 2005325

About Frank M. Aarestrup

Frank M. Aarestrup is a scholar working on Food Science, Infectious Diseases, Molecular Biology, Molecular Medicine and Endocrinology, having authored 450 papers that have together received 41.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (118 papers), Antibiotic Resistance in Bacteria (93 papers), Antimicrobial Resistance in Staphylococcus (91 papers), Pharmaceutical and Antibiotic Environmental Impacts (55 papers), Bacteriophages and microbial interactions (49 papers), Microbial infections and disease research (47 papers), Bacterial Identification and Susceptibility Testing (41 papers) and Genomics and Phylogenetic Studies (39 papers). The work is most often cited by research in Molecular Medicine (15.0k citations), Endocrinology (8.8k citations), Food Science (13.3k citations), Applied Microbiology and Biotechnology (1.2k citations) and Infectious Diseases (10.2k citations). Frank M. Aarestrup has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Henrik Hasman, Ole Lund, Ea Zankari, Salvatore Cosentino, Mette Voldby Larsen, Simon Rasmussen, Henrik Caspar Wegener, Rolf Sommer Kaas, René S. Hendriksen and Mikkel V. Larsen. Their work appears in journals such as Veterinary Microbiology, Journal of Antimicrobial Chemotherapy, PLoS ONE, Journal of Clinical Microbiology 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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