Rosa Lundbye Allesøe
- Molecular Medicine top 1%
- Endocrinology top 2%
- Clinical Biochemistry top 2%
- Infectious Diseases top 5%
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- Diabetes and associated disorders 4
- Genetic Associations and Epidemiology 2
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 2
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- Bacteriophages and microbial interactions 3
- Microbial Community Ecology and Physiology 2
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- Machine Learning in Healthcare 2
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- Celiac Disease Research and Management 2
- Co-authors
- Ole LundFrank M. AarestrupLina CavacoEa ZankariKatrine JoensenSimon RasmussenHenrik HasmanHenrik Bjørn Nielsen
- Partner nations
- DenmarkUnited StatesGuinea-Bissau
In The Last Decade
Rosa Lundbye Allesøe
14 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Medicine 419
- Endocrinology 266
- Clinical Biochemistry 175
- Infectious Diseases 340
- Applied Microbiology and Biotechnology 32
Countries citing papers authored by Rosa Lundbye Allesøe
This map shows the geographic impact of Rosa Lundbye Allesøe'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 Rosa Lundbye Allesøe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Lundbye Allesøe more than expected).
Fields of papers citing papers by Rosa Lundbye Allesøe
This network shows the impact of papers produced by Rosa Lundbye Allesøe. 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 Rosa Lundbye Allesøe. The network helps show where Rosa Lundbye Allesøe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rosa Lundbye Allesøe, 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 | 2022 | 11 | |
| 2 | 2022 | 19 | |
| 3 | 2022 | 7 | |
| 4 | Improved metagenome binning and assembly using deep variational autoencodersbreakdown → | 2021 | 304 |
| 5 | 2021 | 7 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 36 | |
| 10 | 2019 | 21 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 205 | |
| 13 | 2017 | 136 | |
| 14 | PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogensbreakdown → | 2017 | 555 |
About Rosa Lundbye Allesøe
Rosa Lundbye Allesøe is a scholar working on Biological Psychiatry, Endocrinology and Gastroenterology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (4 papers), Bacteriophages and microbial interactions (3 papers), Microbial Community Ecology and Physiology (2 papers), Genetic Associations and Epidemiology (2 papers), Machine Learning in Healthcare (2 papers), Celiac Disease Research and Management (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Molecular Medicine (419 citations), Endocrinology (266 citations) and Clinical Biochemistry (175 citations). Rosa Lundbye Allesøe has collaborated with scholars based in Denmark, United States and Guinea-Bissau. Frequent co-authors include Ole Lund, Frank M. Aarestrup, Lina Cavaco, Ea Zankari, Katrine Joensen, Simon Rasmussen, Henrik Hasman, Henrik Bjørn Nielsen, Lars Juhl Jensen and Ole Winther. Their work appears in journals such as Nature Biotechnology, Bioinformatics and Scientific Reports.
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.