Asger Hobolth

20.8k total citations
66 papers, 1.4k citations indexed

About

Asger Hobolth is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Asger Hobolth has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 28 papers in Molecular Biology and 18 papers in Artificial Intelligence. Recurrent topics in Asger Hobolth's work include Genetic diversity and population structure (13 papers), Morphological variations and asymmetry (12 papers) and Genomics and Phylogenetic Studies (11 papers). Asger Hobolth is often cited by papers focused on Genetic diversity and population structure (13 papers), Morphological variations and asymmetry (12 papers) and Genomics and Phylogenetic Studies (11 papers). Asger Hobolth collaborates with scholars based in Denmark, United States and United Kingdom. Asger Hobolth's co-authors include Mikkel Heide Schierup, Thomas Mailund, Julien Y. Dutheil, Ole Fredslund Christensen, Jens Ledet Jensen, John Hawks, Eva B. Vedel Jensen, Paula Tataru, Thomas Bataillon and Gerton Lunter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Genetics.

In The Last Decade

Asger Hobolth

62 papers receiving 1.4k citations

Peers

Asger Hobolth

GENET

PALEO

Thomas Mailund Denmark

Aakrosh Ratan United States

John W. Fondon United States

Aylwyn Scally United Kingdom

Daniel Wegmann Switzerland

Yu Ning China

James P. Balhoff United States

Audrey M. Southwick United States

Yu Fan China

Dirk Metzler Germany

Thomas Mailund Denmark

Asger Hobolth

1.2k ×1.4

GENET

953 ×1.3

357 ×1.9

238 ×1.7

PALEO

154 ×1.4

Citations per year, relative to Asger Hobolth Asger Hobolth (= 1×) peers Thomas Mailund

Countries citing papers authored by Asger Hobolth

Since Specialization

Citations

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

Fields of papers citing papers by Asger Hobolth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asger Hobolth

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

All Works

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20 of 20 papers shown

Besenbacher, Søren, Sofia Boeg Winge, Kristian Almstrup, et al.. (2025). Estimating Gene Conversion Tract Length and Rate From PacBio HiFi Data. Molecular Biology and Evolution. 42(2). 2 indexed citations

Hobolth, Asger, Simon Boitard, Andreas Futschik, & Raphaël Leblois. (2025). A matrix-analytical sampling formula for time-homogeneous coalescent processes under the infinite sites mutation model. Theoretical Population Biology. 163. 62–79.

Brøndum, Rasmus Froberg, et al.. (2025). On the Relation Between Linear Autoencoders and Non-Negative Matrix Factorization for Mutational Signature Extraction. Journal of Computational Biology. 32(5). 461–472. 2 indexed citations

Rivas-González, Iker, Mikkel Heide Schierup, John Wakeley, & Asger Hobolth. (2024). TRAILS: Tree reconstruction of ancestry using incomplete lineage sorting. PLoS Genetics. 20(2). e1010836–e1010836.

Rivas-González, Iker, Lars Nørvang Andersen, & Asger Hobolth. (2023). PhaseTypeR: an R package for phase-type distributionsin population genetics. The Journal of Open Source Software. 8(82). 5054–5054. 4 indexed citations

Hobolth, Asger, et al.. (2023). Model selection and robust inference of mutational signatures using Negative Binomial non-negative matrix factorization. BMC Bioinformatics. 24(1). 187–187. 4 indexed citations

Zeng, Kai, Brian Charlesworth, & Asger Hobolth. (2021). Studying models of balancing selection using phase-type theory. Genetics. 218(2). 9 indexed citations

Waltoft, Berit Lindum & Asger Hobolth. (2018). Non-parametric estimation of population size changes from the site frequency spectrum. Statistical Applications in Genetics and Molecular Biology. 17(3). 5 indexed citations

Bertl, Johanna, Qianyun Guo, Malene Juul, et al.. (2018). A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer data. BMC Bioinformatics. 19(1). 147–147. 7 indexed citations

10.

Madsen, Tobias, Asger Hobolth, Jens Ledet Jensen, & Jakob Skou Pedersen. (2017). Significance evaluation in factor graphs. BMC Bioinformatics. 18(1). 199–199. 2 indexed citations

11.

Tataru, Paula, Thomas Bataillon, & Asger Hobolth. (2015). Inference Under a Wright-Fisher Model Using an Accurate Beta Approximation. Genetics. 201(3). 1133–1141. 19 indexed citations

12.

Dutheil, Julien Y. & Asger Hobolth. (2012). Ancestral Population Genomics. Methods in molecular biology. 1910. 293–313. 12 indexed citations

13.

Hobolth, Asger & Jens Ledet Jensen. (2011). Summary Statistics for Endpoint-Conditioned Continuous-Time Markov Chains. Journal of Applied Probability. 48(4). 911–924. 11 indexed citations

14.

Hobolth, Asger & Jens Ledet Jensen. (2011). Summary Statistics for Endpoint-Conditioned Continuous-Time Markov Chains. Journal of Applied Probability. 48(4). 911–924. 3 indexed citations

15.

Hobolth, Asger & Carsten Wiuf. (2009). The genealogy, site frequency spectrum and ages of two nested mutant alleles. Theoretical Population Biology. 75(4). 260–265. 8 indexed citations

16.

Hobolth, Asger, Marcy K. Uyenoyama, & Carsten Wiuf. (2008). Importance Sampling for the Infinite Sites Model. Statistical Applications in Genetics and Molecular Biology. 7(1). Article32–Article32. 21 indexed citations

17.

Choi, Sang Chul, Asger Hobolth, David M. Robinson, Hirohisa Kishino, & Jeffrey L. Thorne. (2007). Quantifying the Impact of Protein Tertiary Structure on Molecular Evolution. Molecular Biology and Evolution. 24(8). 1769–1782. 45 indexed citations

18.

Hobolth, Asger. (2006). CpG + CpNpG Analysis of Protein-Coding Sequences from Tomato. Molecular Biology and Evolution. 23(6). 1318–1323. 14 indexed citations

19.

Jørgensen, Frank G., Asger Hobolth, Henrik Hornshøj, et al.. (2005). Comparative analysis of protein coding sequences from human, mouse and the domesticated pig. BMC Biology. 3(1). 2–2. 70 indexed citations

20.

Hobolth, Asger. (2003). The spherical deformation model. Biostatistics. 4(4). 583–595. 26 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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