David M. Aanensen
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 22
- Microbiology top 0.1%
- Endocrinology top 0.2%
- Vibrio bacteria research studies 11
- Infectious Diseases top 0.2%
- Antimicrobial Resistance in Staphylococcus 16
- Clinical Biochemistry top 0.2%
- Bacterial Identification and Susceptibility Testing 14
-
- Genomics and Phylogenetic Studies 20
- Bacterial biofilms and quorum sensing 9
-
- Salmonella and Campylobacter epidemiology 10
-
- Pneumonia and Respiratory Infections 10
- Co-authors
- Brian G. SprattEdward J. FeilWilliam P. HanageKhalil AbudahabHajo GrundmannRichard GoaterJukka CoranderThomas R. Connor
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (1 paper)
- 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
- Molecular Medicine 1.2k
- Microbiology 1.5k
- Endocrinology 1.1k
- Infectious Diseases 3.5k
- Clinical Biochemistry 1.1k
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
The 25 scholars most cited alongside David M. Aanensen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 30 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 26 | |
| 11 | 2021 | 16 | |
| 12 | Assignment of epidemiological lineages in an emerging pandemic using the pangolin toolbreakdown → | 2021 | 551 |
| 13 | 2021 | 16 | |
| 14 | 2019 | 79 | |
| 15 | 2018 | 23 | |
| 16 | 2018 | 156 | |
| 17 | Phandango: an interactive viewer for bacterial population genomicsbreakdown → | 2017 | 415 |
| 18 | 2017 | 108 | |
| 19 | 2016 | 44 | |
| 20 | Multilocus Sequence Typing and Evolutionary Relationships among the Causative Agents of Melioidosis and Glanders, and. | 2003 | 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), Antimicrobial Resistance in Staphylococcus (16 papers), Bacterial Identification and Susceptibility Testing (14 papers), Vibrio bacteria research studies (11 papers), Salmonella and Campylobacter epidemiology (10 papers), Pneumonia and Respiratory Infections (10 papers) and Bacterial biofilms and quorum sensing (9 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.