Jesse Stricker
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Biophysics top 2%
Papers in
- Genetics 6
- Bacterial Genetics and Biotechnology 6
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- Gene Regulatory Network Analysis 2
- Microbial Metabolic Engineering and Bioproduction 1
- Fungal and yeast genetics research 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Harold Erickson (6 shared papers)Jeff Hasty (2 shared papers)Matthew R. Bennett (2 shared papers)Lev S. Tsimring (1 shared paper)William Mather (1 shared paper)Scott Cookson (1 shared paper)Edward D. Salmon (1 shared paper)Paul S. Maddox (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Molecular Systems Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)BMC Microbiology (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Jesse Stricker
8 papers receiving 1.6k citations
Jesse Stricker's Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 718
- Biophysics 117
- Molecular Biology 1.4k
- Ecology 305
- Cell Biology 184
Countries citing papers authored by Jesse Stricker
This map shows the geographic impact of Jesse Stricker'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 Jesse Stricker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Stricker more than expected).
Fields of papers citing papers by Jesse Stricker
This network shows the impact of papers produced by Jesse Stricker. 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 Jesse Stricker. The network helps show where Jesse Stricker may publish in the future.
Co-authors
The 11 scholars most cited alongside Jesse Stricker, 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 | 2002 | 313 | |
| 3 | 1998 | 164 | |
| 4 | 2003 | 85 | |
| 5 | 2001 | 84 | |
| 6 | 2007 | 82 | |
| 7 | 2005 | 80 | |
| 8 | 1998 | 9 |
About Jesse Stricker
Jesse Stricker is a scholar working on Genetics, Molecular Biology, Ecology, Cell Biology and Biophysics, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (3 papers), Gene Regulatory Network Analysis (2 papers), Microbial Community Ecology and Physiology (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Fungal and yeast genetics research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Genetics (718 citations), Biophysics (117 citations), Molecular Biology (1.4k citations), Ecology (305 citations) and Cell Biology (184 citations). Jesse Stricker has collaborated with scholars based in United States. Frequent co-authors include Harold Erickson, Jeff Hasty, Matthew R. Bennett, Lev S. Tsimring, William Mather, Scott Cookson, Edward D. Salmon, Paul S. Maddox, Gina Briscoe and Sambra D. Redick. Their work appears in journals such as Journal of Bacteriology, Molecular Systems Biology, Proceedings of the National Academy of Sciences, BMC Microbiology 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.