Frank M. Aarestrup
Impact in
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.01%
- Escherichia coli research studies
- Vibrio bacteria research studies
Papers in
- Food Science 142
- Salmonella and Campylobacter epidemiology 116
-
- Antimicrobial Resistance in Staphylococcus 89
- Co-authors
- Ole Lund (48 shared papers)Henrik Hasman (63 shared papers)Ea Zankari (8 shared papers)Salvatore Cosentino (5 shared papers)Mette Voldby Larsen (7 shared papers)Simon Rasmussen (7 shared papers)Rolf Sommer Kaas (23 shared papers)Henrik Caspar Wegener (30 shared papers)
- Journals
- Veterinary Microbiology (32 papers)Journal of Antimicrobial Chemotherapy (27 papers)PLoS ONE (26 papers)Journal of Clinical Microbiology (25 papers)Microbial Drug Resistance (24 papers)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Frank M. Aarestrup
424 papers receiving 38.4k citations
Frank M. Aarestrup's Hit Papers
Peers
Comparison fields: 5 of 189
- Molecular Medicine 14.5k
- Endocrinology 8.5k
- Food Science 12.8k
- Applied Microbiology and Biotechnology 1.1k
- Infectious Diseases 9.8k
Countries citing papers authored by Frank M. Aarestrup
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
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.
All Works
Showing the 20 most-cited of 439 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of acquired antimicrobial resistance genes Hit paper breakdown → | 2012 | 3868 |
| 2 | In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing Hit paper breakdown → | 2014 | 3439 |
| 3 | Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria Hit paper breakdown → | 2012 | 1778 |
| 4 | Real-Time Whole-Genome Sequencing for Routine Typing, Surveillance, and Outbreak Detection of Verotoxigenic Escherichia coli Hit paper breakdown → | 2014 | 1043 |
| 5 | Solving the Problem of Comparing Whole Bacterial Genomes across Different Sequencing Platforms Hit paper breakdown → | 2014 | 692 |
| 6 | Rapid and EasyIn SilicoSerotyping of Escherichia coli Isolates by Use of Whole-Genome Sequencing Data Hit paper breakdown → | 2015 | 667 |
| 7 | PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens Hit paper breakdown → | 2017 | 573 |
| 8 | Rapid and precise alignment of raw reads against redundant databases with KMA Hit paper breakdown → | 2018 | 572 |
| 9 | Quinolone and Macrolide Resistance in Campylobacter jejuni and C. coli: Resistance Mechanisms and Trends in Human Isolates Hit paper breakdown → | 2001 | 550 |
| 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 Hit paper breakdown → | 2011 | 518 |
| 11 | PathogenFinder - Distinguishing Friend from Foe Using Bacterial Whole Genome Sequence Data Hit paper breakdown → | 2013 | 461 |
| 12 | 2001 | 455 | |
| 13 | Detection of mobile genetic elements associated with antibiotic resistance in Salmonella enterica using a newly developed web tool: MobileElementFinder Hit paper breakdown → | 2020 | 450 |
| 14 | 2000 | 405 | |
| 15 | ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes Hit paper breakdown → | 2022 | 396 |
| 16 | 2013 | 393 | |
| 17 | 2008 | 369 | |
| 18 | 1999 | 358 | |
| 19 | 1997 | 322 | |
| 20 | 2005 | 317 |
About Frank M. Aarestrup
Frank M. Aarestrup is a scholar working on Food Science, Infectious Diseases, Molecular Biology, Molecular Medicine and Endocrinology, having authored 439 papers that have together received 39.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (116 papers), Antibiotic Resistance in Bacteria (92 papers), Antimicrobial Resistance in Staphylococcus (89 papers), Pharmaceutical and Antibiotic Environmental Impacts (51 papers), Bacteriophages and microbial interactions (45 papers), Microbial infections and disease research (43 papers), Bacterial Identification and Susceptibility Testing (40 papers) and Genomics and Phylogenetic Studies (38 papers). The work is most often cited by research in Molecular Medicine (14.5k citations), Endocrinology (8.5k citations), Food Science (12.8k citations), Applied Microbiology and Biotechnology (1.1k citations) and Infectious Diseases (9.8k citations). Frank M. Aarestrup has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Ole Lund, Henrik Hasman, Ea Zankari, Salvatore Cosentino, Mette Voldby Larsen, Simon Rasmussen, Rolf Sommer Kaas, Henrik Caspar Wegener, 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.