Gryte Satas

763 citations
11 papers · 310 · h-index 7

Impact in

Papers in

    • Cancer Genomics and Diagnostics 11
    • Genomics and Phylogenetic Studies 4
    • Single-cell and spatial transcriptomics 3
    • Epigenetics and DNA Methylation 1

Gryte Satas

11 papers receiving 309 citations

Peers

Gryte Satas
Comparison fields: 5 of 29
  • Cancer Research 272
  • Pathology and Forensic Medicine 88
  • Genetics 105
  • Molecular Biology 225
  • Modeling and Simulation 12
Replace Thanos P. Mourikis with:
Thanos P. Mourikis United Kingdom
Simone Zaccaria United States
Chen-Hsiang Yeang Taiwan
Bryan Chesnick United States
Karli Lytle United States
Sushant Kumar United States
Daniel Temko United States
Donate Weghorn Spain
Stephanie Nevins United States
Nilgun Donmez Canada
Gryte Satas relative to Thanos P. Mourikis United Kingdom Thanos P. Mourikis's profile →
Citations per field
00.5×1.5×
Thanos P. Mourikis · 1×
Citations per year

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-authors

The 13 scholars most cited alongside Gryte Satas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gryte Satas Line = papers co-authored together Gryte Satas links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201691
2 201478
3 202048
4 201934
5 201731
6 202114
7 20188
8 20242
9 20182
10 20181
11 20231

About Gryte Satas

Gryte Satas is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 310 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (4 papers), Single-cell and spatial transcriptomics (3 papers), Genetic factors in colorectal cancer (3 papers), Lung Cancer Treatments and Mutations (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Cancer Research (272 citations), Pathology and Forensic Medicine (88 citations), Genetics (105 citations), Molecular Biology (225 citations) and Modeling and Simulation (12 citations). Gryte Satas has collaborated with scholars based in United States. Frequent co-authors include Benjamin J. Raphael, Layla Oesper, Mohammed El-Kebir, Simone Zaccaria, Matthew Myers, Francesco Maura, Saad Z. Usmani, Andrew McPherson, Marc Williams and Hongyu Shi. Their work appears in journals such as Cell Systems, Bioinformatics, Blood, Nature Genetics and Nature Communications.

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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