Thomas Mailund

10.3k total citations
88 papers, 2.0k citations indexed

About

Thomas Mailund is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Thomas Mailund has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 37 papers in Molecular Biology and 19 papers in Artificial Intelligence. Recurrent topics in Thomas Mailund's work include Genomics and Phylogenetic Studies (18 papers), Genetic Associations and Epidemiology (18 papers) and Genetic diversity and population structure (15 papers). Thomas Mailund is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Genetic Associations and Epidemiology (18 papers) and Genetic diversity and population structure (15 papers). Thomas Mailund collaborates with scholars based in Denmark, United Kingdom and France. Thomas Mailund's co-authors include Mikkel Heide Schierup, Asger Hobolth, Julien Y. Dutheil, Ole Fredslund Christensen, Kasper Munch, Søren Besenbacher, Christian N. S. Pedersen, Jotun Hein, John Hawks and Christina Hvilsom and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.

In The Last Decade

Thomas Mailund

84 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Mailund Denmark 24 1.2k 953 357 238 166 88 2.0k
Aakrosh Ratan United States 26 627 0.5× 846 0.9× 239 0.7× 139 0.6× 288 1.7× 68 1.8k
Asger Hobolth Denmark 19 820 0.7× 743 0.8× 191 0.5× 141 0.6× 81 0.5× 66 1.4k
Sante Gnerre United States 11 770 0.7× 1.5k 1.6× 766 2.1× 111 0.5× 431 2.6× 18 2.4k
Daniel Wegmann Switzerland 29 1.6k 1.4× 613 0.6× 286 0.8× 237 1.0× 459 2.8× 52 2.6k
Aylwyn Scally United Kingdom 16 963 0.8× 919 1.0× 242 0.7× 227 1.0× 183 1.1× 27 2.3k
Julien Y. Dutheil France 28 1.1k 0.9× 1.3k 1.3× 861 2.4× 137 0.6× 161 1.0× 58 2.2k
Ilan Gronau Israel 15 1.1k 0.9× 727 0.8× 147 0.4× 100 0.4× 283 1.7× 26 1.6k
Galina Glazko United States 31 785 0.7× 2.6k 2.7× 761 2.1× 199 0.8× 340 2.0× 79 4.1k
Teresa Webster United States 13 1.8k 1.5× 1.3k 1.4× 473 1.3× 191 0.8× 185 1.1× 18 2.9k
Simon Boitard France 18 1.7k 1.4× 724 0.8× 223 0.6× 64 0.3× 243 1.5× 32 2.7k

Countries citing papers authored by Thomas Mailund

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mailund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Mailund. 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 Thomas Mailund. The network helps show where Thomas Mailund may publish in the future.

Co-authorship network of co-authors of Thomas Mailund

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

All Works

20 of 20 papers shown
1.
Jørgensen, Frank G., Jade Yu Cheng, Peter C. Kjærgaard, et al.. (2025). Genetic predictions of eye and hair colour in the Danish population. Forensic Science International Genetics. 78. 103267–103267. 2 indexed citations
2.
Lan, Tianying, Kalle Leppälä, Sandra L. Talbot, et al.. (2022). Insights into bear evolution from a Pleistocene polar bear genome. Proceedings of the National Academy of Sciences. 119(24). e2200016119–e2200016119. 19 indexed citations
3.
Frandsen, Peter, Claudia Fontsere, Svend Vendelbo Nielsen, et al.. (2020). Targeted conservation genetics of the endangered chimpanzee. Heredity. 125(1-2). 15–27. 14 indexed citations
4.
Mailund, Thomas. (2018). Domain-specific languages in R: advanced statistical programming. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
5.
Cheng, Jade Yu, Thomas Mailund, & Rasmus Nielsen. (2017). Fast admixture analysis and population tree estimation for SNP and NGS data. Bioinformatics. 33(14). 2148–2155. 36 indexed citations
6.
Mailund, Thomas. (2017). Beginning data science in R: data analysis, visualization, and modelling for the data scientist. CERN Document Server (European Organization for Nuclear Research). 1 indexed citations
7.
Munch, Kasper, Thomas Mailund, Julien Y. Dutheil, & Mikkel Heide Schierup. (2013). A fine-scale recombination map of the human–chimpanzee ancestor reveals faster change in humans than in chimpanzees and a strong impact of GC-biased gene conversion. Genome Research. 24(3). 467–474. 27 indexed citations
8.
Andersen, Lars Nørvang, Thomas Mailund, & Asger Hobolth. (2013). Efficient computation in the IM model. Journal of Mathematical Biology. 68(6). 1423–1451. 15 indexed citations
9.
Jensen, Kurt, Lars Michael Kristensen, & Thomas Mailund. (2011). The sweep-line state space exploration method. Theoretical Computer Science. 429. 169–179. 10 indexed citations
10.
Nielsen, Jesper Kresten, et al.. (2011). A sub-cubic time algorithm for computing the quartet distance between two general trees. Algorithms for Molecular Biology. 6(1). 15–15. 11 indexed citations
11.
Sahana, Goutam, Thomas Mailund, Mogens Sandø Lund, & Bernt Guldbrandtsen. (2011). Local Genealogies in a Linear Mixed Model for Genome-Wide Association Mapping in Complex Pedigreed Populations. PLoS ONE. 6(11). e27061–e27061. 5 indexed citations
12.
Emily, Mathieu, et al.. (2009). Using biological networks to search for interacting loci in genome-wide association studies. European Journal of Human Genetics. 17(10). 1231–1240. 109 indexed citations
13.
Nielsen, Jesper Kresten & Thomas Mailund. (2008). SNPFile – A software library and file format for large scale association mapping and population genetics studies. BMC Bioinformatics. 9(1). 526–526. 4 indexed citations
14.
Mailund, Thomas, et al.. (2008). Investigating selection on viruses: a statistical alignment approach. BMC Bioinformatics. 9(1). 304–304. 9 indexed citations
15.
Mailund, Thomas, Søren Besenbacher, & Mikkel Heide Schierup. (2006). Whole genome association mapping by incompatibilities and local perfect phylogenies. BMC Bioinformatics. 7(1). 454–454. 36 indexed citations
16.
Mailund, Thomas, et al.. (2006). Recrafting the neighbor-joining method. BMC Bioinformatics. 7(1). 29–29. 42 indexed citations
17.
Mailund, Thomas, et al.. (2005). Initial Experiences with GeneRecon on MiG.. Research at the University of Copenhagen (University of Copenhagen). 141–146. 2 indexed citations
18.
Mailund, Thomas, et al.. (2005). CoaSim: A flexible environment for simulating genetic data under coalescent models. BMC Bioinformatics. 6(1). 252–252. 55 indexed citations
19.
Mailund, Thomas, et al.. (2005). Algorithms for computing the quartet distance between trees of arbitrary degree. 1 indexed citations
20.
Mailund, Thomas & Christian N. S. Pedersen. (2004). QuickJoin—fast neighbour-joining tree reconstruction. Bioinformatics. 20(17). 3261–3262. 23 indexed citations

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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