Sara Cheek

528 citations
6 papers · 438 · h-index 6

Impact in

    • Protein Structure and Dynamics
    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies

Papers in

    • RNA and protein synthesis mechanisms 1
    • Glycosylation and Glycoproteins Research 1
    • Biochemical and Structural Characterization 1
    • PARP inhibition in cancer therapy 1
    • Peptidase Inhibition and Analysis 1

Sara Cheek

6 papers receiving 430 citations

Peers

Sara Cheek
Comparison fields: 5 of 71
  • Geriatrics and Gerontology 18
  • Molecular Biology 330
  • Physiology 18
  • Cell Biology 40
  • Biochemistry 17
Replace Samuel G. Gattis with:
Samuel G. Gattis United States
Robert Dutnall United States
Angela Bisso Italy
Kurt Hoogewijs Belgium
M.L. Speranza Italy
Martina O’Flaherty Netherlands
Rajan Vyas India
Alexandria K. D’Souza United States
Matthieu Depuydt Belgium
Rosa Marı́a Pinto Spain
Sara Cheek relative to Samuel G. Gattis United States Samuel G. Gattis's profile →
Citations per field
00.5×1.5×2.1×
Samuel G. Gattis · 1×
Citations per year

Countries citing papers authored by Sara Cheek

Since Specialization
Citations

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

Fields of papers citing papers by Sara Cheek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Sara Cheek, 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 Sara Cheek Line = papers co-authored together Sara Cheek links everyone, so they are left out of the graph.

All Works

About Sara Cheek

Sara Cheek is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Pharmacology and Geriatrics and Gerontology, having authored 6 papers that have together received 438 indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), PARP inhibition in cancer therapy (1 paper), RNA and protein synthesis mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biochemical and Structural Characterization (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Geriatrics and Gerontology (18 citations), Molecular Biology (330 citations), Physiology (18 citations), Cell Biology (40 citations) and Biochemistry (17 citations). Sara Cheek has collaborated with scholars based in United States and Poland. Frequent co-authors include Nick V. Grishin, Hong Zhang, Sanjeev Krishna, Krzysztof Ginalski, Lisa N. Kinch, Nick V. Grishin, Hong Zhang, Andrei L. Osterman, Tianjun Zhou and Oleg V. Kurnasov. Their work appears in journals such as Journal of Molecular Biology, BMC Bioinformatics, Protein Science, Structure and BMC Structural Biology.

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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