Rosa Lundbye Allesøe

7.9k total citations · 2 hit papers
14 papers, 1.3k citations indexed

About

Rosa Lundbye Allesøe is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Rosa Lundbye Allesøe has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Rosa Lundbye Allesøe's work include Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Bacteriophages and microbial interactions (3 papers). Rosa Lundbye Allesøe is often cited by papers focused on Diabetes and associated disorders (4 papers), Immune Cell Function and Interaction (4 papers) and Bacteriophages and microbial interactions (3 papers). Rosa Lundbye Allesøe collaborates with scholars based in Denmark, United States and Uganda. Rosa Lundbye Allesøe's co-authors include Ole Lund, Frank M. Aarestrup, Lina Cavaco, Katrine Joensen, Ea Zankari, Simon Rasmussen, Henrik Hasman, Casper Kaae Sønderby, José Juan Almagro Armenteros and Thomas Nordahl Petersen and has published in prestigious journals such as Nature Biotechnology, Bioinformatics and Scientific Reports.

In The Last Decade

Rosa Lundbye Allesøe

14 papers receiving 1.3k citations

Hit Papers

PointFinder: a novel web tool for WGS-based detection of ... 2017 2026 2020 2023 2017 2021 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Lundbye Allesøe Denmark 10 558 419 340 302 266 14 1.3k
Enrique Doster United States 14 555 1.0× 290 0.7× 155 0.5× 263 0.9× 85 0.3× 27 1.1k
Francesco Comandatore Italy 21 418 0.7× 313 0.7× 539 1.6× 200 0.7× 175 0.7× 70 1.7k
Chunjiang Zhao China 21 432 0.8× 792 1.9× 163 0.5× 145 0.5× 277 1.0× 81 1.8k
Sascha D. Braun Germany 17 233 0.4× 324 0.8× 185 0.5× 98 0.3× 198 0.7× 61 787
Stephen C. Watts Australia 8 438 0.8× 523 1.2× 89 0.3× 177 0.6× 210 0.8× 10 1.1k
Julia K. Christenson Australia 11 270 0.5× 920 2.2× 258 0.8× 181 0.6× 979 3.7× 15 1.8k
Germán M. Traglia Argentina 19 388 0.7× 586 1.4× 94 0.3× 124 0.4× 445 1.7× 64 1.0k
Rodrigo Ortega Polo Canada 12 230 0.4× 116 0.3× 191 0.6× 120 0.4× 68 0.3× 29 759
Sebastian Beyvers Germany 4 306 0.5× 159 0.4× 89 0.3× 161 0.5× 117 0.4× 6 655
Massimo Merighi United States 21 1.0k 1.8× 334 0.8× 163 0.5× 201 0.7× 391 1.5× 30 1.9k

Countries citing papers authored by Rosa Lundbye Allesøe

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Rosa Lundbye Allesøe

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Lundbye Allesøe. A scholar is included among the top collaborators of Rosa Lundbye Allesøe 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 Rosa Lundbye Allesøe. Rosa Lundbye Allesøe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Allesøe, Rosa Lundbye, Ron Nudel, Wesley K. Thompson, et al.. (2022). Deep learning–based integration of genetics with registry data for stratification of schizophrenia and depression. Science Advances. 8(26). eabi7293–eabi7293. 11 indexed citations
2.
Allesøe, Rosa Lundbye, Wesley K. Thompson, Jonas Bybjerg‐Grauholm, et al.. (2022). Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data. JAMA Psychiatry. 80(2). 146–146. 19 indexed citations
3.
Nudel, Ron, Rosa Lundbye Allesøe, Thomas Werge, et al.. (2022). An immunogenetic investigation of 30 autoimmune and autoinflammatory diseases and their links to psychiatric disorders in a nationwide sample. Immunology. 168(4). 622–639. 7 indexed citations
4.
Nudel, Ron, Rosa Lundbye Allesøe, Wesley K. Thompson, et al.. (2021). A large-scale investigation into the role of classical HLA loci in multiple types of severe infections, with a focus on overlaps with autoimmune and mental disorders. Journal of Translational Medicine. 19(1). 230–230. 7 indexed citations
5.
Nissen, Jakob Nybo, Joachim Johansen, Rosa Lundbye Allesøe, et al.. (2021). Improved metagenome binning and assembly using deep variational autoencoders. Nature Biotechnology. 39(5). 555–560. 304 indexed citations breakdown →
6.
Liu, Xueping, Ron Nudel, Wesley K. Thompson, et al.. (2020). Genetic factors underlying the bidirectional relationship between autoimmune and mental disorders – Findings from a Danish population-based study. Brain Behavior and Immunity. 91. 10–23. 14 indexed citations
7.
Ahrenfeldt, Johanne, Philip T. L. C. Clausen, Rosa Lundbye Allesøe, et al.. (2020). Metaphylogenetic analysis of global sewage reveals that bacterial strains associated with human disease show less degree of geographic clustering. Scientific Reports. 10(1). 3033–3033. 8 indexed citations
8.
Allesøe, Rosa Lundbye, Camilla K. Lemvigh, My V. T. Phan, et al.. (2020). Automated download and clean-up of family-specific databases for kmer-based virus identification. Bioinformatics. 37(5). 705–710. 2 indexed citations
9.
Nudel, Ron, Michael E. Benros, Morten Dybdahl Krebs, et al.. (2019). Immunity and mental illness: findings from a Danish population-based immunogenetic study of seven psychiatric and neurodevelopmental disorders. European Journal of Human Genetics. 27(9). 1445–1455. 36 indexed citations
10.
Li, Shuqiang, Jing Sun, Rosa Lundbye Allesøe, et al.. (2019). RNase H–dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis. Nature Protocols. 14(8). 2571–2594. 21 indexed citations
11.
Kofoed, Poul‐Erik, Johan Ursing, Camilla K. Lemvigh, et al.. (2018). Direct whole-genome sequencing of Plasmodium falciparum specimens from dried erythrocyte spots. Malaria Journal. 17(1). 91–91. 11 indexed citations
12.
Kaya, Hülya, Henrik Hasman, Jesper Larsen, et al.. (2018). SCC mec Finder, a Web-Based Tool for Typing of Staphylococcal Cassette Chromosome mec in Staphylococcus aureus Using Whole-Genome Sequence Data. mSphere. 3(1). 205 indexed citations
13.
Roer, Louise, Veronika Tchesnokova, Rosa Lundbye Allesøe, et al.. (2017). Development of a Web Tool for Escherichia coli Subtyping Based on fimH Alleles. Journal of Clinical Microbiology. 55(8). 2538–2543. 136 indexed citations
14.
Zankari, Ea, Rosa Lundbye Allesøe, Katrine Joensen, et al.. (2017). PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens. Journal of Antimicrobial Chemotherapy. 72(10). 2764–2768. 555 indexed citations breakdown →

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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