Sarah E. Cox

2.4k citations
32 papers · 2k · h-index 24

Impact in

    • Protein Kinase Regulation and GTPase Signaling
    • Protein Structure and Dynamics
    • Ubiquitin and proteasome pathways
  • Immunology top 10%
    • Immune Cell Function and Interaction

Papers in

    • Protein Kinase Regulation and GTPase Signaling 10
    • Protein Structure and Dynamics 6
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 1
    • Synthesis and biological activity 6

Sarah E. Cox

32 papers receiving 1.9k citations

Peers

Sarah E. Cox
Comparison fields: 5 of 83
  • Molecular Biology 963
  • Immunology 186
  • Organic Chemistry 289
  • Computational Theory and Mathematics 128
  • Cell Biology 101
Replace Cyril Bařinka with:
Cyril Bařinka Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Sarah E. Cox

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Cox. 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 Sarah E. Cox. The network helps show where Sarah E. Cox may publish in the future.

Co-authors

The 25 scholars most cited alongside Sarah E. Cox, 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 Sarah E. Cox Line = papers co-authored together Sarah E. Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017218
2 2011202
3 2017168
4 1994113
5 1997109
6 199795
7 199982
8 202082
9 200179
10 201579
11 200174
12 199871
13 200270
14 201261
15 199951
16
A cyclin D1/cyclin-dependent kinase 4 binding site within the C domain of the retinoblastoma protein.
200143
17 200243
18 200142
19 201940
20 199538

About Sarah E. Cox

Sarah E. Cox is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Immunology and Oncology, having authored 32 papers that have together received 2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Synthesis and biological activity (6 papers), Protein Structure and Dynamics (6 papers), Cancer-related Molecular Pathways (2 papers), Cellular transport and secretion (2 papers), Ubiquitin and proteasome pathways (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Molecular Biology (963 citations), Immunology (186 citations), Organic Chemistry (289 citations), Computational Theory and Mathematics (128 citations) and Cell Biology (101 citations). Sarah E. Cox has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Susan Serota Taylor, Shmuel Shaltiel, Narendra Narayana, Nguyen‐Huu Xuong, Elżbieta Radzio, Amy A. Kiger, Steve Jean, Lynn F. Ten Eyck, Steven P. Seitz and Catherine R. Burton. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Cell and Journal of Medicinal Chemistry.

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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