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
-
- Advanced Fluorescence Microscopy Techniques 4
-
- stochastic dynamics and bifurcation 5
- Co-authors
- Jeff HastyLev S. TsimringMatthew R. BennettScott CooksonJesse StrickerRuth WilliamsTal DaninoOctavio Mondragón-Palomino
- Journals
- ACS Synthetic Biology (3 papers)Physical Review Letters (3 papers)Biophysical Journal (3 papers)Physical Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesMexicoFrance
In The Last Decade
William Mather
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Biophysics 145
- Molecular Biology 1.3k
- Genetics 371
- Statistical and Nonlinear Physics 118
- Endocrine and Autonomic Systems 50
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-authorship network
The 22 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 26 | |
| 2 | 2019 | 29 | |
| 3 | 2017 | 21 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 13 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2015 | 14 | |
| 11 | 2014 | 17 | |
| 12 | 2013 | 49 | |
| 13 | 2012 | 7 | |
| 14 | 2011 | 54 | |
| 15 | 2011 | 17 | |
| 16 | 2010 | 43 | |
| 17 | 2010 | 55 | |
| 18 | 2009 | 116 | |
| 19 | A fast, robust and tunable synthetic gene oscillator Hit paper breakdown → | 2008 | 818 |
| 20 | 2006 | 25 |
About William Mather
William Mather is a scholar working on Biophysics, Statistical and Nonlinear Physics, Molecular Biology, Genetics and Molecular Medicine, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers), Evolution and Genetic Dynamics (3 papers), Micro and Nano Robotics (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biophysics (145 citations), Molecular Biology (1.3k citations), Genetics (371 citations), Statistical and Nonlinear Physics (118 citations) and Endocrine and Autonomic Systems (50 citations). William Mather has collaborated with scholars based in United States, Mexico and France. Frequent co-authors include Jeff Hasty, Lev S. Tsimring, Matthew R. Bennett, Scott Cookson, Jesse Stricker, Ruth Williams, Tal Danino, Octavio Mondragón-Palomino, Nicholas C. Butzin and Ronald F. Fox. Their work appears in journals such as ACS Synthetic Biology, Physical Review Letters, Biophysical Journal, Physical Biology and Proceedings of the National Academy of Sciences.
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.