Sara Mathieson
Impact in
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- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Forensic and Genetic Research
- Genetic Associations and Epidemiology
- Evolution and Genetic Dynamics
- Genetic Mapping and Diversity in Plants and Animals
- Nutrition, Genetics, and Disease
Papers in
- Genetics 5
- Forensic and Genetic Research 2
- Evolution and Genetic Dynamics 2
- Genetic and phenotypic traits in livestock 2
- Genetic Associations and Epidemiology 2
- Genomic variations and chromosomal abnormalities 1
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- Metabolomics and Mass Spectrometry Studies 1
- Molecular Biology Techniques and Applications 1
- Co-authors
- Iain Mathieson (3 shared papers)Matteo Fumagalli (2 shared papers)Ulaş Işıldak (1 shared paper)Linda Pattini (1 shared paper)Michael Κourakos (2 shared papers)Zhanpeng Wang (1 shared paper)Jiaping Wang (1 shared paper)Rebecca Riley (1 shared paper)
- Journals
- eLife (1 paper)Molecular Biology and Evolution (1 paper)Genetics (1 paper)PLoS Computational Biology (1 paper)Molecular Ecology Resources (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Sara Mathieson
6 papers receiving 205 citations
Peers
Comparison fields: 5 of 57
- Genetics 138
- Paleontology 8
- Molecular Biology 62
- Ecological Modeling 4
- Cancer Research 10
Countries citing papers authored by Sara Mathieson
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
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-authors
The 13 scholars most cited alongside Sara Mathieson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2019 | 67 | |
| 3 | 2021 | 37 | |
| 4 | 2024 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 4 |
About Sara Mathieson
Sara Mathieson is a scholar working on Genetics, Molecular Biology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Hematology, having authored 6 papers that have together received 205 indexed citations. Recurring topics across this work include Forensic and Genetic Research (2 papers), Evolution and Genetic Dynamics (2 papers), Genetic and phenotypic traits in livestock (2 papers), Genetic Associations and Epidemiology (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Blood groups and transfusion (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Genetics (138 citations), Paleontology (8 citations), Molecular Biology (62 citations), Ecological Modeling (4 citations) and Cancer Research (10 citations). Sara Mathieson has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Iain Mathieson, Matteo Fumagalli, Ulaş Işıldak, Linda Pattini, Michael Κourakos, Zhanpeng Wang, Jiaping Wang, Rebecca Riley, Shweta Ramdas and Alejandro A. Schäffer. Their work appears in journals such as eLife, Molecular Biology and Evolution, Genetics, PLoS Computational Biology and Molecular Ecology Resources.
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.