David M. Aanensen
- Infectious Diseases top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Microbiology top 0.1%
- Public Health, Environmental and Occupational Health top 1%
- Co-authors
- Brian G. SprattEdward J. FeilWilliam P. HanageKhalil AbudahabHajo GrundmannRichard GoaterJukka CoranderThomas R. Connor
- Topics
- Antibiotic Resistance in Bacteria (22 papers)Genomics and Phylogenetic Studies (20 papers)Antimicrobial Resistance in Staphylococcus (16 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David M. Aanensen
92 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Infectious Diseases 3.5k
- Epidemiology 2.8k
- Molecular Biology 2.4k
- Microbiology 1.5k
- Public Health, Environmental and Occupational Health 1.2k
Countries citing papers authored by David M. Aanensen
This map shows the geographic impact of David M. Aanensen'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 David M. Aanensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Aanensen more than expected).
Fields of papers citing papers by David M. Aanensen
This network shows the impact of papers produced by David M. Aanensen. 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 David M. Aanensen. The network helps show where David M. Aanensen may publish in the future.
Co-authorship network of co-authors of David M. Aanensen
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Aanensen. A scholar is included among the top collaborators of David M. Aanensen 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 David M. Aanensen. David M. Aanensen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 16 | |
| 12 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin toolbreakdown → | 551 |
| 13 | 16 | |
| 14 | 79 | |
| 15 | 23 | |
| 16 | 156 | |
| 17 | Phandango: an interactive viewer for bacterial population genomicsbreakdown → | 415 |
| 18 | 108 | |
| 19 | 44 | |
| 20 | Multilocus Sequence Typing and Evolutionary Relationships among the Causative Agents of Melioidosis and Glanders, and. | 3 |
About David M. Aanensen
David M. Aanensen is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 94 papers that have together received 9.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Genomics and Phylogenetic Studies (20 papers) and Antimicrobial Resistance in Staphylococcus (16 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Microbiology (1.5k citations) and Endocrinology (1.1k citations). David M. Aanensen has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Brian G. Spratt, Edward J. Feil, William P. Hanage, Khalil Abudahab, Hajo Grundmann, Richard Goater, Jukka Corander, Thomas R. Connor, Stephen D. Bentley and Nicholas J. Croucher. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.