Scott Cookson

1.7k citations
7 papers · 1.2k indexed · 1 hit paper · h-index 7

Impact in

  • Biophysics top 2%
    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering
    • Microbial Metabolic Engineering and Bioproduction
    • Single-cell and spatial transcriptomics

Papers in

Scott Cookson

7 papers receiving 1.2k citations

Hit Papers

A fast, robust and tunable synthetic gene oscillator 2008 · 818 citations
8182008202620142020250500750

Peers

Scott Cookson
Comparison fields: 5 of 93
  • Biophysics 133
  • Molecular Biology 937
  • Genetics 225
  • Aging 14
  • Condensed Matter Physics 89
Replace Octavio Mondragón-Palomino with:
Octavio Mondragón-Palomino United States
William Mather United States
Jangir Selimkhanov United States
Filipe Tostevin Netherlands
Andrew Mugler United States
Rubén Perez‐Carrasco United Kingdom
Subhayu Basu United States
Nathan D. Lord United States
Lydia Robert France
Jesse Stricker United States
Scott Cookson relative to Octavio Mondragón-Palomino United States Octavio Mondragón-Palomino's profile →
Citations per field
00.5×1.5×2.1×
Octavio Mondragón-Palomino · 1×
Citations per year

Countries citing papers authored by Scott Cookson

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cookson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Scott Cookson, 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 Cookson Line = papers co-authored together Scott Cookson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202026
2 20159
3 200950
4
A fast, robust and tunable synthetic gene oscillator
Hit paper breakdown →
2008818
5 2008211
6 20066
7 200583

About Scott Cookson

Scott Cookson is a scholar working on Biophysics, Media Technology, Molecular Biology, Cell Biology and Electronic, Optical and Magnetic Materials, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Gene Regulatory Network Analysis (5 papers), Single-cell and spatial transcriptomics (3 papers), Liquid Crystal Research Advancements (1 paper), Cellular Mechanics and Interactions (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), 3D Printing in Biomedical Research (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Biophysics (133 citations), Molecular Biology (937 citations), Genetics (225 citations), Aging (14 citations) and Condensed Matter Physics (89 citations). Scott Cookson has collaborated with scholars based in United States and Russia. Frequent co-authors include Jeff Hasty, Lev S. Tsimring, William Mather, Matthew R. Bennett, Jesse Stricker, Dmitri Volfson, Wyming Lee Pang, Michael Ferry and Joseph E. Ford. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature, Nucleic Acids Research, Molecular Systems Biology and Applied Optics.

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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