Sara Mathieson

579 total citations
6 papers, 191 citations indexed

About

Sara Mathieson is a scholar working on Genetics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sara Mathieson has authored 6 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Sara Mathieson's work include Genetic and phenotypic traits in livestock (3 papers), Genetic diversity and population structure (2 papers) and Genetic Associations and Epidemiology (2 papers). Sara Mathieson is often cited by papers focused on Genetic and phenotypic traits in livestock (3 papers), Genetic diversity and population structure (2 papers) and Genetic Associations and Epidemiology (2 papers). Sara Mathieson collaborates with scholars based in United States, Italy and United Kingdom. Sara Mathieson's co-authors include Iain Mathieson, Matteo Fumagalli, Linda Pattini, Ulaş Işıldak, Michael Κourakos, Zhanpeng Wang, Jiaping Wang, Rebecca Riley, Alejandro A. Schäffer and Rachel L. Kember and has published in prestigious journals such as Genetics, Molecular Biology and Evolution and BMC Bioinformatics.

In The Last Decade

Sara Mathieson

6 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara Mathieson United States	5	129	66	21	10	10	6	191
Neil Thomas United Kingdom	6	79 0.6×	79 1.2×	5 0.2×	2 0.2×	8 0.8×	9	157
Ron Hübler Germany	4	37 0.3×	55 0.8×	20 1.0×	20 2.0×	5 0.5×	4	149
Derek E. Kelly United States	6	78 0.6×	91 1.4×	13 0.6×	16 1.6×	27 2.7×	7	202
Jolene S. Fernandes United States	6	33 0.3×	145 2.2×	27 1.3×	7 0.7×	7 0.7×	7	206
Charles Markello United States	3	75 0.6×	118 1.8×	18 0.9×	9 0.9×	12 1.2×	3	173
Weifeng Yang China	12	180 1.4×	72 1.1×	16 0.8×	3 0.3×	6 0.6×	28	305
Florian Clemente Austria	5	78 0.6×	53 0.8×	4 0.2×	7 0.7×	10 1.0×	6	118
Shengyu Ni Germany	5	93 0.7×	174 2.6×	3 0.1×	16 1.6×	24 2.4×	8	238
Sina Majidian Switzerland	9	54 0.4×	108 1.6×	13 0.6×	15 1.5×	10 1.0×	22	158
Magali Ruffier United Kingdom	2	40 0.3×	107 1.6×	6 0.3×	4 0.4×	19 1.9×	2	141

Countries citing papers authored by Sara Mathieson

Since Specialization

Citations

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

Fields of papers citing papers by Sara Mathieson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Mathieson

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Riley, Rebecca, Iain Mathieson, & Sara Mathieson. (2024). Interpreting generative adversarial networks to infer natural selection from genetic data. Genetics. 226(4). 10 indexed citations

2.

Mathieson, Sara, et al.. (2023). The genomic footprint of social stratification in admixing American populations. eLife. 12. 3 indexed citations

3.

Wang, Zhanpeng, et al.. (2021). Automatic inference of demographic parameters using generative adversarial networks. Molecular Ecology Resources. 21(8). 2689–2705. 35 indexed citations

4.

Κourakos, Michael, Yuval B. Simons, Shweta Ramdas, et al.. (2021). Ancestral haplotype reconstruction in endogamous populations using identity-by-descent. PLoS Computational Biology. 17(2). e1008638–e1008638. 4 indexed citations

5.

Işıldak, Ulaş, et al.. (2019). ImaGene: a convolutional neural network to quantify natural selection from genomic data. BMC Bioinformatics. 20(S9). 337–337. 64 indexed citations

6.

Mathieson, Sara & Iain Mathieson. (2018). FADS1 and the Timing of Human Adaptation to Agriculture. Molecular Biology and Evolution. 35(12). 2957–2970. 75 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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