Scott Cookson
Impact in
- Biophysics top 2%
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Single-cell and spatial transcriptomics
Papers in
-
- Gene Regulatory Network Analysis 5
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 1
-
- Cell Image Analysis Techniques 5
- Co-authors
- Jeff Hasty (6 shared papers)Lev S. Tsimring (3 shared papers)William Mather (2 shared papers)Jesse Stricker (1 shared paper)Matthew R. Bennett (1 shared paper)Dmitri Volfson (3 shared papers)Wyming Lee Pang (2 shared papers)Steve A. Kay (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular Systems Biology (1 paper)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)Nature (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Scott Cookson
8 papers receiving 1.3k citations
Scott Cookson's Hit Papers
Peers
Comparison fields: 5 of 103
- Biophysics 129
- Molecular Biology 993
- Genetics 222
- Aging 14
- Condensed Matter Physics 92
Countries citing papers authored by Scott Cookson
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
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-authors
The 16 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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A fast, robust and tunable synthetic gene oscillator Hit paper breakdown → | 2008 | 862 |
| 2 | 2008 | 219 | |
| 3 | 2005 | 83 | |
| 4 | 2012 | 61 | |
| 5 | 2009 | 52 | |
| 6 | 2020 | 28 | |
| 7 | 2015 | 9 | |
| 8 | 2006 | 6 |
About Scott Cookson
Scott Cookson is a scholar working on Molecular Biology, Biophysics, Ecology, Media Technology and Cell Biology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Advanced Optical Imaging Technologies (1 paper), Liquid Crystal Research Advancements (1 paper), Electrowetting and Microfluidic Technologies (1 paper), 3D Printing in Biomedical Research (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Biophysics (129 citations), Molecular Biology (993 citations), Genetics (222 citations), Aging (14 citations) and Condensed Matter Physics (92 citations). Scott Cookson has collaborated with scholars based in United States and Russia. Frequent co-authors include Jeff Hasty, Lev S. Tsimring, William Mather, Jesse Stricker, Matthew R. Bennett, Dmitri Volfson, Wyming Lee Pang, Steve A. Kay, Dawn M. Adin and Arnaud Taton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Systems Biology, PLoS ONE, Nucleic Acids Research and Nature.
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.