Scott Cayley

1.5k citations
10 papers · 1.2k · h-index 10

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Lipid Membrane Structure and Behavior
    • Microbial Metabolic Engineering and Bioproduction

Papers in

    • Protein Structure and Dynamics 4
    • DNA and Nucleic Acid Chemistry 3
    • Advanced biosensing and bioanalysis techniques 1
    • Bacterial Genetics and Biotechnology 5

Scott Cayley

10 papers receiving 1.2k citations

Peers

Scott Cayley
Comparison fields: 5 of 101
  • Genetics 431
  • Molecular Biology 929
  • Endocrinology 47
  • Ecology 194
  • Biophysics 41
Replace Emanuel Shechter with:
Emanuel Shechter France
Silvia Zorrilla Spain
Leif Rilfors Sweden
S. Padmanabhan Spain
Donald F. Senear United States
Dmitri N. Ermolenko United States
Cécile Breyton France
Irina A. Shkel United States
Begoña Monterroso Spain
S Szmelcman France
Scott Cayley relative to Emanuel Shechter France Emanuel Shechter's profile →
Citations per field
00.5×4.9×
Emanuel Shechter · 1×
Citations per year

Countries citing papers authored by Scott Cayley

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cayley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Scott Cayley, 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 Scott Cayley Line = papers co-authored together Scott Cayley links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1991400
2 1998194
3 1992174
4 2006162
5 2003139
6 200450
7 199647
8 198939
9 199513
10 199011

About Scott Cayley

Scott Cayley is a scholar working on Molecular Biology, Genetics, Ecology, Spectroscopy and Biomedical Engineering, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Bacteriophages and microbial interactions (4 papers), Protein Structure and Dynamics (4 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced NMR Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Microbial bioremediation and biosurfactants (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Genetics (431 citations), Molecular Biology (929 citations), Endocrinology (47 citations), Ecology (194 citations) and Biophysics (41 citations). Scott Cayley has collaborated with scholars based in United States. Frequent co-authors include M. Thomas Record, Barbara Lewis, James C. Weisshaar, Irina A. Shkel, Michael Konopka, Charles Anderson, Sonya E. Melcher, Ruth M. Saecker, W. Michael and Wentao Zhang. Their work appears in journals such as Journal of Bacteriology, Biochemistry, Journal of Molecular Biology, Trends in Biochemical Sciences and Journal of Molecular Recognition.

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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