Gryte Satas

763 total citations
11 papers, 310 citations indexed

About

Gryte Satas is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Gryte Satas has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 9 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Gryte Satas's work include Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (4 papers) and Single-cell and spatial transcriptomics (3 papers). Gryte Satas is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (4 papers) and Single-cell and spatial transcriptomics (3 papers). Gryte Satas collaborates with scholars based in United States. Gryte Satas's co-authors include Benjamin J. Raphael, Layla Oesper, Mohammed El-Kebir, Simone Zaccaria, Matthew Myers, Ola Landgren, Francesco Maura, Hongyu Shi, Sohrab P. Shah and Marc Williams and has published in prestigious journals such as Nature Communications, Nature Genetics and Blood.

In The Last Decade

Gryte Satas

11 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gryte Satas United States	7	272	225	105	88	43	11	310
Simone Zaccaria United States	11	289 1.1×	317 1.4×	129 1.2×	54 0.6×	82 1.9×	24	425
Sushant Kumar United States	6	133 0.5×	160 0.7×	67 0.6×	31 0.4×	50 1.2×	17	255
Donate Weghorn Spain	7	146 0.5×	249 1.1×	162 1.5×	24 0.3×	46 1.1×	13	354
Daniel Temko United States	6	97 0.4×	108 0.5×	46 0.4×	32 0.4×	48 1.1×	7	198
Chen-Hsiang Yeang Taiwan	7	158 0.6×	228 1.0×	52 0.5×	23 0.3×	67 1.6×	10	333
Alexander Martinez‐Fundichely United States	10	108 0.4×	233 1.0×	115 1.1×	17 0.2×	27 0.6×	14	309
Nilgun Donmez Canada	6	158 0.6×	225 1.0×	72 0.7×	42 0.5×	48 1.1×	8	332
Stephanie Nevins United States	3	254 0.9×	364 1.6×	28 0.3×	29 0.3×	80 1.9×	3	477
Sufeng Mao United States	4	233 0.9×	159 0.7×	75 0.7×	102 1.2×	216 5.0×	5	408
Thanos P. Mourikis United Kingdom	7	150 0.6×	164 0.7×	54 0.5×	47 0.5×	90 2.1×	9	318

Countries citing papers authored by Gryte Satas

Since Specialization

Citations

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

Fields of papers citing papers by Gryte Satas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gryte Satas

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

All Works

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11 of 11 papers shown

Shi, Hongyu, et al.. (2024). Allele-specific transcriptional effects of subclonal copy number alterations enable genotype-phenotype mapping in cancer cells. Nature Communications. 15(1). 2482–2482. 2 indexed citations

McPherson, Andrew, Kylee Maclachlan, Matthew Myers, et al.. (2023). Single Cell Whole Genome Measurement of Genomic Heterogeneity and Clonal Evolution in Multiple Myeloma. Blood. 142(Supplement 1). 4722–4722. 1 indexed citations

Satas, Gryte, Simone Zaccaria, Mohammed El-Kebir, & Benjamin J. Raphael. (2021). DeCiFering the elusive cancer cell fraction in tumor heterogeneity and evolution. Cell Systems. 12(10). 1004–1018.e10. 14 indexed citations

Satas, Gryte, et al.. (2020). SCARLET: Single-Cell Tumor Phylogeny Inference with Copy-Number Constrained Mutation Losses. Cell Systems. 10(4). 323–332.e8. 48 indexed citations

Myers, Matthew, Gryte Satas, & Benjamin J. Raphael. (2019). CALDER: Inferring Phylogenetic Trees from Longitudinal Tumor Samples. Cell Systems. 8(6). 514–522.e5. 34 indexed citations

El-Kebir, Mohammed, Gryte Satas, & Benjamin J. Raphael. (2018). Inferring parsimonious migration histories for metastatic cancers. Nature Genetics. 50(5). 718–726. 2 indexed citations

Satas, Gryte & Benjamin J. Raphael. (2018). Haplotype phasing in single-cell DNA-sequencing data. Bioinformatics. 34(13). i211–i217. 8 indexed citations

El-Kebir, Mohammed, Gryte Satas, & Benjamin J. Raphael. (2018). Abstract 5307: Inferring parsimonious migration histories for metastatic cancers. Cancer Research. 78(13_Supplement). 5307–5307. 1 indexed citations

Satas, Gryte & Benjamin J. Raphael. (2017). Tumor phylogeny inference using tree-constrained importance sampling. Bioinformatics. 33(14). i152–i160. 31 indexed citations

10.

El-Kebir, Mohammed, Gryte Satas, Layla Oesper, & Benjamin J. Raphael. (2016). Inferring the Mutational History of a Tumor Using Multi-state Perfect Phylogeny Mixtures. Cell Systems. 3(1). 43–53. 91 indexed citations

11.

Oesper, Layla, Gryte Satas, & Benjamin J. Raphael. (2014). Quantifying tumor heterogeneity in whole-genome and whole-exome sequencing data. Bioinformatics. 30(24). 3532–3540. 78 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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