Samantha Laber

1.9k total citations
12 papers, 444 citations indexed

About

Samantha Laber is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Samantha Laber has authored 12 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Physiology and 5 papers in Genetics. Recurrent topics in Samantha Laber's work include Adipose Tissue and Metabolism (6 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (3 papers). Samantha Laber is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Genetic Associations and Epidemiology (5 papers) and RNA modifications and cancer (3 papers). Samantha Laber collaborates with scholars based in United Kingdom, United States and Germany. Samantha Laber's co-authors include Roger Cox, Jeremy Sanderson, Mengdi Li, Frances M. Ashcroft, G. Sachse, Myrte Merkestein, Samuel Usher, Dyan Sellayah, Fiona McMurray and Cecilia M. Lindgren and has published in prestigious journals such as Nature Communications, Nature Genetics and Cell Metabolism.

In The Last Decade

Samantha Laber

11 papers receiving 440 citations

Peers

Samantha Laber

PHYSI

GENET

EPIDE

Andrey V. Zhelankin Russia

Dorothée Thuillier France

Tharini Sivasubramaniyam Canada

Nadia Navari Italy

Felipe Crispim Brazil

G Belsanti Italy

Xinbo Zhao China

Husam Ghanim United States

Z. Wu Germany

Ali Baker United Kingdom

Andrey V. Zhelankin Russia

Samantha Laber

355 ×1.3

47 ×0.5

PHYSI

39 ×0.5

GENET

112 ×1.5

64 ×0.9

EPIDE

Citations per year, relative to Samantha Laber Samantha Laber (= 1×) peers Andrey V. Zhelankin

Countries citing papers authored by Samantha Laber

Since Specialization

Citations

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

Fields of papers citing papers by Samantha Laber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samantha Laber

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

All Works

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12 of 12 papers shown

Laber, Samantha, Shuntaro Yamada, Xu Zhao, et al.. (2025). IRX3 controls a SUMOylation-dependent differentiation switch in adipocyte precursor cells. Nature Communications. 16(1). 7248–7248.

Hansen, Grace, Débora R. Sobreira, Zachary Weber, et al.. (2023). Genetics of sexually dimorphic adipose distribution in humans. Nature Genetics. 55(3). 461–470. 19 indexed citations

Ruschke, Stefan, Claudine Seeliger, Samantha Laber, et al.. (2022). Transcriptome and fatty-acid signatures of adipocyte hypertrophy and its non-invasive MR-based characterization in human adipose tissue. EBioMedicine. 79. 104020–104020. 28 indexed citations

Sinnott-Armstrong, Nasa, Isabel Sousa, Samantha Laber, et al.. (2021). A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density. Cell Metabolism. 33(3). 615–628.e13. 27 indexed citations

Glastonbury, Craig A., Sara L. Pulit, Jenny C. Censin, et al.. (2020). Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. PLoS Computational Biology. 16(8). e1008044–e1008044. 11 indexed citations

Bovijn, Jonas, Kristi Krebs, Chia‐Yen Chen, et al.. (2020). Evaluating the cardiovascular safety of sclerostin inhibition using evidence from meta-analysis of clinical trials and human genetics. Science Translational Medicine. 12(549). 71 indexed citations

Laisk, Triin, Duncan S. Palmer, Samantha Laber, et al.. (2018). Large-scale meta-analysis highlights the hypothalamic–pituitary–gonadal axis in the genetic regulation of menstrual cycle length. Human Molecular Genetics. 27(24). 4323–4332. 21 indexed citations

Laber, Samantha & Roger Cox. (2017). Mouse Models of Human GWAS Hits for Obesity and Diabetes in the Post Genomic Era: Time for Reevaluation. Frontiers in Endocrinology. 8. 11–11. 7 indexed citations

Pulit, Sara L., Samantha Laber, Craig A. Glastonbury, & Cecilia M. Lindgren. (2017). The genetic underpinnings of body fat distribution. Expert Review of Endocrinology & Metabolism. 12(6). 417–427. 2 indexed citations

10.

Merkestein, Myrte, Samantha Laber, Fiona McMurray, et al.. (2015). FTO influences adipogenesis by regulating mitotic clonal expansion. Nature Communications. 6(1). 6792–6792. 194 indexed citations

11.

Laber, Samantha & Roger Cox. (2015). Commentary: FTO obesity variant circuitry and adipocyte browning in humans. Frontiers in Genetics. 6. 318–318. 3 indexed citations

12.

Kirchner, Henriette, Carolina Nylén, Samantha Laber, et al.. (2014). Altered promoter methylation of PDK4, IL1 B, IL6, and TNF after Roux-en Y gastric bypass. Surgery for Obesity and Related Diseases. 10(4). 671–678. 61 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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