Emil A. Sørensen

1.2k total citations · 2 hit papers
3 papers, 490 citations indexed

About

Emil A. Sørensen is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Emil A. Sørensen has authored 3 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Biomedical Engineering. Recurrent topics in Emil A. Sørensen's work include Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and RNA and protein synthesis mechanisms (1 paper). Emil A. Sørensen is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (2 papers) and RNA and protein synthesis mechanisms (1 paper). Emil A. Sørensen collaborates with scholars based in Denmark, Australia and Austria. Emil A. Sørensen's co-authors include Søren Michael Karst, Rasmus Hansen Kirkegaard, Mads Albertsen, Thomas Yssing Michaelsen, Rasmus Dam Wollenberg, Mantas Sereika, Rob Knight, Daniel McDonald, Ryan Ziels and Qiyun Zhu and has published in prestigious journals such as Nature Methods and Nature Microbiology.

In The Last Decade

Emil A. Sørensen

3 papers receiving 485 citations

Hit Papers

Oxford Nanopore R10.4 long-read sequencing enables the ge... 2021 2026 2022 2024 2022 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing
    2022 266 citations Mantas Sereika, Rasmus Hansen Kirkegaard et al. Nature Methods profile →
  2. High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing
    2021 221 citations Søren Michael Karst, Ryan Ziels et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emil A. Sørensen Denmark 3 363 134 74 55 35 3 490
Audrey Farbos United Kingdom 10 288 0.8× 119 0.9× 106 1.4× 56 1.0× 13 0.4× 24 549
Nadine Holmes United Kingdom 11 417 1.1× 84 0.6× 86 1.2× 77 1.4× 29 0.8× 27 625
Mantas Sereika Denmark 5 252 0.7× 112 0.8× 46 0.6× 25 0.5× 28 0.8× 8 341
Bethany Stackhouse United States 4 492 1.4× 103 0.8× 85 1.1× 105 1.9× 52 1.5× 4 736
Corinna Ernst Germany 9 318 0.9× 64 0.5× 133 1.8× 88 1.6× 18 0.5× 16 483
Christopher Pockrandt United States 7 306 0.8× 123 0.9× 80 1.1× 78 1.4× 14 0.4× 10 551
Andrey Kislyuk United States 10 634 1.7× 172 1.3× 100 1.4× 112 2.0× 13 0.4× 11 776
Mihail Halachev United Kingdom 9 386 1.1× 137 1.0× 71 1.0× 109 2.0× 62 1.8× 15 638
Matthew G. Durrant United States 11 460 1.3× 75 0.6× 69 0.9× 116 2.1× 9 0.3× 16 674
Michael Zianni United States 11 305 0.8× 67 0.5× 92 1.2× 119 2.2× 13 0.4× 15 502

Countries citing papers authored by Emil A. Sørensen

Since Specialization
Citations

This map shows the geographic impact of Emil A. Sørensen'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 Emil A. Sørensen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emil A. Sørensen more than expected).

Fields of papers citing papers by Emil A. Sørensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emil A. Sørensen. 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 Emil A. Sørensen. The network helps show where Emil A. Sørensen may publish in the future.

Co-authorship network of co-authors of Emil A. Sørensen

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

All Works

3 of 3 papers shown
1.
Sereika, Mantas, Aaron J. Mussig, Chenjing Jiang, et al.. (2025). Genome-resolved long-read sequencing expands known microbial diversity across terrestrial habitats. Nature Microbiology. 10(8). 2018–2030. 3 indexed citations
2.
Sereika, Mantas, Rasmus Hansen Kirkegaard, Søren Michael Karst, et al.. (2022). Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing. Nature Methods. 19(7). 823–826. 266 indexed citations breakdown →
3.
Karst, Søren Michael, Ryan Ziels, Rasmus Hansen Kirkegaard, et al.. (2021). High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing. Nature Methods. 18(2). 165–169. 221 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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