C.F. Snook

714 citations
13 papers · 607 · h-index 10

Impact in

    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Sphingolipid Metabolism and Signaling 4
    • Lipid Membrane Structure and Behavior 3
    • Protein Structure and Dynamics 3
    • Protein purification and stability 2
    • Enzyme Structure and Function 5

C.F. Snook

13 papers receiving 595 citations

Peers

C.F. Snook
Comparison fields: 5 of 79
  • Molecular Biology 512
  • Cell Biology 112
  • Physiology 90
  • Biochemistry 27
  • Physiology 17
Replace Jennifer R. Giorgione with:
Jennifer R. Giorgione United States
Mike Rigney United States
Jun Xian United States
Qing‐xin Hua United States
Stephen Boulton Canada
Mahendra Kumar Jain United States
Jeremy J. Clemens United States
Jeffrey H. M. Charuk Canada
Tineke Voorn-Brouwer Netherlands
Philippe Cronet Germany
C.F. Snook relative to Jennifer R. Giorgione United States Jennifer R. Giorgione's profile →
Citations per field
00.5×1.6×
Jennifer R. Giorgione · 1×
Citations per year

Countries citing papers authored by C.F. Snook

Since Specialization
Citations

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

Fields of papers citing papers by C.F. Snook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.F. Snook. 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 C.F. Snook. The network helps show where C.F. Snook may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008177
2 2006135
3 200686
4 200350
5 200343
6 199831
7 200225
8 200120
9 200618
10 200015
11 19995
12 20001
13 19871

About C.F. Snook

C.F. Snook is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Organic Chemistry and Cell Biology, having authored 13 papers that have together received 607 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Protein Structure and Dynamics (3 papers), Protein purification and stability (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cellular transport and secretion (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (512 citations), Cell Biology (112 citations), Physiology (90 citations), Biochemistry (27 citations) and Physiology (17 citations). C.F. Snook has collaborated with scholars based in United States, United Kingdom and Jordan. Frequent co-authors include Yusuf A. Hannun, Jonathan Jones, Motohiro Tani, B.A. Wallace, Nabil Matmati, Christopher J. Clarke, Norma Marchesini, Lesa J. Beamer, Peter A. Tipton and Rosalie C. Sears. Their work appears in journals such as Biochemistry, Biochemical Society Transactions, The FASEB Journal, Journal of Applied Crystallography and Journal of Lipid Research.

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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