William Mather
Impact in
- Biophysics top 2%
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
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- Advanced Fluorescence Microscopy Techniques 4
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- stochastic dynamics and bifurcation 5
- Co-authors
- Jeff Hasty (12 shared papers)Lev S. Tsimring (10 shared papers)Matthew R. Bennett (2 shared papers)Scott Cookson (2 shared papers)Jesse Stricker (1 shared paper)Ruth J. Williams (4 shared papers)Tal Danino (4 shared papers)Octavio Mondragón-Palomino (3 shared papers)
- Journals
- ACS Synthetic Biology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Physical Review Letters (3 papers)Biophysical Journal (3 papers)Physical Biology (2 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
William Mather
23 papers receiving 1.6k citations
William Mather's Hit Papers
Peers
Comparison fields: 5 of 104
- Biophysics 145
- Molecular Biology 1.3k
- Genetics 366
- Statistical and Nonlinear Physics 124
- Endocrine and Autonomic Systems 53
Countries citing papers authored by William Mather
This map shows the geographic impact of William Mather'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 William Mather with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Mather more than expected).
Fields of papers citing papers by William Mather
This network shows the impact of papers produced by William Mather. 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 William Mather. The network helps show where William Mather may publish in the future.
Co-authors
The 23 scholars most cited alongside William Mather, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A fast, robust and tunable synthetic gene oscillator Hit paper breakdown → | 2008 | 878 |
| 2 | 2011 | 142 | |
| 3 | 2009 | 119 | |
| 4 | 2010 | 62 | |
| 5 | 2011 | 58 | |
| 6 | 2013 | 54 | |
| 7 | 2010 | 43 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 27 | |
| 12 | 2006 | 25 | |
| 13 | 2017 | 21 | |
| 14 | 2011 | 19 | |
| 15 | 2014 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2006 | 14 | |
| 19 | 2015 | 14 | |
| 20 | 2016 | 13 |
About William Mather
William Mather is a scholar working on Biophysics, Statistical and Nonlinear Physics, Molecular Biology, Genetics and Condensed Matter Physics, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), stochastic dynamics and bifurcation (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Bacterial Genetics and Biotechnology (3 papers), Protein Structure and Dynamics (3 papers), Evolution and Genetic Dynamics (3 papers), CRISPR and Genetic Engineering (2 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Biophysics (145 citations), Molecular Biology (1.3k citations), Genetics (366 citations), Statistical and Nonlinear Physics (124 citations) and Endocrine and Autonomic Systems (53 citations). William Mather has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Jeff Hasty, Lev S. Tsimring, Matthew R. Bennett, Scott Cookson, Jesse Stricker, Ruth J. Williams, Tal Danino, Octavio Mondragón-Palomino, Natalie A. Cookson and Nicholas C. Butzin. Their work appears in journals such as ACS Synthetic Biology, Proceedings of the National Academy of Sciences, Physical Review Letters, Biophysical Journal and Physical Biology.
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.