Petter Mostad

1.6k total citations
42 papers, 1.1k citations indexed

About

Petter Mostad is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Petter Mostad has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 18 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Petter Mostad's work include Forensic and Genetic Research (14 papers), Genetic Associations and Epidemiology (10 papers) and Molecular Biology Techniques and Applications (9 papers). Petter Mostad is often cited by papers focused on Forensic and Genetic Research (14 papers), Genetic Associations and Epidemiology (10 papers) and Molecular Biology Techniques and Applications (9 papers). Petter Mostad collaborates with scholars based in Sweden, Norway and United Kingdom. Petter Mostad's co-authors include Thore Egeland, Margurethe Stenersen, B. Mevåg, Andreas Tillmar, Mikael Kubista, Pierre Åman, Anders Ståhlberg, Börje Ridell, Gunilla Holmlund and Thomas F. Hansen and has published in prestigious journals such as The EMBO Journal, PLoS ONE and Genome Research.

In The Last Decade

Petter Mostad

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petter Mostad Sweden 18 587 534 127 89 87 42 1.1k
Marc Pybus Spain 13 308 0.5× 437 0.8× 72 0.6× 43 0.5× 65 0.7× 24 738
Shay Tzur Israel 23 738 1.3× 812 1.5× 715 5.6× 46 0.5× 74 0.9× 44 2.2k
Philip Miller United States 19 806 1.4× 76 0.1× 32 0.3× 225 2.5× 98 1.1× 61 1.6k
David Stivers United States 21 866 1.5× 616 1.2× 36 0.3× 78 0.9× 6 0.1× 37 1.6k
Zheng Wang China 25 1.2k 2.1× 1.3k 2.4× 10 0.1× 185 2.1× 30 0.3× 123 1.9k
Mark Lipson United States 26 906 1.5× 1.2k 2.3× 9 0.1× 42 0.5× 111 1.3× 62 2.4k
Vanessa M. Hayes Australia 31 993 1.7× 582 1.1× 11 0.1× 68 0.8× 31 0.4× 95 2.4k
Yan Lü China 25 623 1.1× 860 1.6× 7 0.1× 39 0.4× 74 0.9× 91 1.7k
Amanda Taylor United States 21 157 0.3× 179 0.3× 109 0.9× 72 0.8× 9 0.1× 43 1.2k
Søren Nørby Denmark 13 638 1.1× 701 1.3× 32 0.3× 59 0.7× 54 0.6× 31 1.2k

Countries citing papers authored by Petter Mostad

Since Specialization
Citations

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

Fields of papers citing papers by Petter Mostad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petter Mostad

This figure shows the co-authorship network connecting the top 25 collaborators of Petter Mostad. A scholar is included among the top collaborators of Petter Mostad 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 Petter Mostad. Petter Mostad 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.
Kling, Daniel, Petter Mostad, & Andreas Tillmar. (2024). FamLink2 – A comprehensive tool for likelihood computations in pedigrees analyses involving linked DNA markers accounting for genotype uncertainties. Forensic Science International Genetics. 74. 103150–103150. 2 indexed citations
2.
Mostad, Petter, Andreas Tillmar, & Daniel Kling. (2023). Improved computations for relationship inference using low-coverage sequencing data. BMC Bioinformatics. 24(1). 90–90. 8 indexed citations
3.
Mostad, Petter, et al.. (2021). Mathematically optimal decisions in forensic age assessment. International Journal of Legal Medicine. 136(3). 765–776. 6 indexed citations
4.
5.
Mostad, Petter, et al.. (2016). Exact Inference on Conditional Linear Γ-Gaussian Bayesian Networks.. Journal of Machine Learning Research. 52. 474–486. 1 indexed citations
6.
Mostad, Petter, et al.. (2016). Stationary mutation models. Forensic Science International Genetics. 23. 217–225. 10 indexed citations
7.
Kling, Daniel, Andreas Tillmar, Thore Egeland, & Petter Mostad. (2014). A general model for likelihood computations of genetic marker data accounting for linkage, linkage disequilibrium, and mutations. International Journal of Legal Medicine. 129(5). 943–954. 25 indexed citations
8.
Kling, Daniel, Thore Egeland, & Petter Mostad. (2012). Using Object Oriented Bayesian Networks to Model Linkage, Linkage Disequilibrium and Mutations between STR Markers. PLoS ONE. 7(9). e43873–e43873. 5 indexed citations
9.
Bartoszek, Krzysztof, Jason Pienaar, Petter Mostad, Staffan Andersson, & Thomas F. Hansen. (2012). A phylogenetic comparative method for studying multivariate adaptation. Journal of Theoretical Biology. 314. 204–215. 103 indexed citations
10.
Tillmar, Andreas, Thore Egeland, Bertil Lindblom, Gunilla Holmlund, & Petter Mostad. (2010). Using X-chromosomal markers in relationship testing: Calculation of likelihood ratios taking both linkage and linkage disequilibrium into account. Forensic Science International Genetics. 5(5). 506–511. 34 indexed citations
11.
Tillmar, Andreas, et al.. (2008). Analysis of linkage and linkage disequilibrium for eight X-STR markers. Forensic Science International Genetics. 3(1). 37–41. 42 indexed citations
12.
Åstrand, Magnus, Petter Mostad, & Mats Rudemo. (2008). Empirical Bayes models for multiple probe type microarrays at the probe level. BMC Bioinformatics. 9(1). 156–156. 12 indexed citations
13.
14.
He, Liqun, Ying Sun, Jaakko Patrakka, et al.. (2007). Glomerulus-specific mRNA transcripts and proteins identified through kidney expressed sequence tag database analysis. Kidney International. 71(9). 889–900. 29 indexed citations
15.
Mostad, Petter, et al.. (2005). The Quest for a Donor: Probability Based Methods Offer Help.. Journal of Wildlife Diseases. 39(1). 84–95. 18 indexed citations
16.
Nelander, Sven, Erik Larsson, Erik Kristiansson, et al.. (2005). Predictive screening for regulators of conserved functional gene modules (gene batteries) in mammals. BMC Genomics. 6(1). 68–68. 33 indexed citations
17.
Egeland, Thore, Ingvild Dalen, & Petter Mostad. (2003). Estimating the number of contributors to a DNA profile. International Journal of Legal Medicine. 117(5). 271–275. 29 indexed citations
18.
Benson, Mikael, Björn Carlsson, Lena Carlsson, et al.. (2002). DNA MICROARRAY ANALYSIS OF TRANSFORMING GROWTH FACTOR-β AND RELATED TRANSCRIPTS IN NASAL BIOPSIES FROM PATIENTS WITH ALLERGIC RHINITIS. Cytokine. 18(1). 20–25. 28 indexed citations
19.
Egeland, Thore, Petter Mostad, & B. Olaisen. (1997). A computerised method for calculating the probability of pedigrees from genetic data. Science & Justice. 37(4). 269–274. 15 indexed citations
20.
Mostad, Petter, et al.. (1996). Variogram Estimation in a Bayesian Framework. Duo Research Archive (University of Oslo). 3 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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