William Mather

2.2k total citations · 1 hit paper
23 papers, 1.6k citations indexed

About

William Mather is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, William Mather has authored 23 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Statistical and Nonlinear Physics and 6 papers in Genetics. Recurrent topics in William Mather's work include Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). William Mather is often cited by papers focused on Gene Regulatory Network Analysis (17 papers), stochastic dynamics and bifurcation (5 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). William Mather collaborates with scholars based in United States, Mexico and France. William Mather's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

William Mather

23 papers receiving 1.5k citations

Hit Papers

A fast, robust and tunable synthetic gene oscillator 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
William Mather United States 16 1.3k 371 274 151 145 23 1.6k
Scott Cookson United States 7 937 0.7× 225 0.6× 283 1.0× 115 0.8× 133 0.9× 7 1.2k
David R. McMillen Canada 18 2.0k 1.6× 542 1.5× 243 0.9× 126 0.8× 176 1.2× 40 2.3k
Octavio Mondragón-Palomino United States 8 894 0.7× 242 0.7× 404 1.5× 115 0.8× 87 0.6× 12 1.2k
Tau‐Mu Yi United States 18 1.5k 1.2× 270 0.7× 188 0.7× 101 0.7× 120 0.8× 40 1.8k
Subhayu Basu United States 6 1.8k 1.4× 449 1.2× 515 1.9× 117 0.8× 159 1.1× 8 2.1k
Thomas E. Gorochowski United Kingdom 27 1.3k 1.1× 397 1.1× 267 1.0× 59 0.4× 103 0.7× 64 1.9k
Jangir Selimkhanov United States 13 905 0.7× 204 0.5× 435 1.6× 72 0.5× 96 0.7× 19 1.5k
Attila Becskei Switzerland 19 2.8k 2.2× 852 2.3× 178 0.6× 184 1.2× 254 1.8× 42 3.1k
Brian Munsky United States 20 2.1k 1.6× 495 1.3× 137 0.5× 85 0.6× 295 2.0× 64 2.4k
Markus Kollmann Germany 18 638 0.5× 185 0.5× 210 0.8× 97 0.6× 58 0.4× 32 1.3k

Countries citing papers authored by William Mather

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of William Mather

This figure shows the co-authorship network connecting the top 25 collaborators of William Mather. A scholar is included among the top collaborators of William Mather based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Mather. William Mather is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mather, William, et al.. (2020). Genome-scale transcriptional dynamics and environmental biosensing. Proceedings of the National Academy of Sciences. 117(6). 3301–3306. 26 indexed citations
2.
Harimoto, Tetsuhiro, Zakary S. Singer, Joanna Zhang, et al.. (2019). Rapid screening of engineered microbial therapies in a 3D multicellular model. Proceedings of the National Academy of Sciences. 116(18). 9002–9007. 29 indexed citations
3.
Butzin, Nicholas C. & William Mather. (2017). Crosstalk between Diverse Synthetic Protein Degradation Tags in Escherichia coli. ACS Synthetic Biology. 7(1). 54–62. 21 indexed citations
4.
Mather, William, et al.. (2017). Synchronized DNA cycling across a bacterial population. Nature Genetics. 49(8). 1282–1285. 26 indexed citations
5.
Mather, William, et al.. (2017). The spatiotemporal system dynamics of acquired resistance in an engineered microecology. Scientific Reports. 7(1). 16071–16071. 13 indexed citations
6.
Jensen, Roderick V., et al.. (2017). Mechanisms for Differential Protein Production in Toxin–Antitoxin Systems. Toxins. 9(7). 211–211. 24 indexed citations
7.
Butzin, Nicholas C. & William Mather. (2016). Synthetic Genetic Oscillators. 2. 100–125. 4 indexed citations
8.
Mather, William, et al.. (2016). Proteolytic crosstalk in multi-protease networks. Physical Biology. 13(2). 25002–25002. 13 indexed citations
9.
Butzin, Nicholas C., et al.. (2016). Entrainment of a Bacterial Synthetic Gene Oscillator through Proteolytic Queueing. ACS Synthetic Biology. 6(3). 455–462. 12 indexed citations
10.
Butzin, Nicholas C., et al.. (2015). Marching along to an Offbeat Drum: Entrainment of Synthetic Gene Oscillators by a Noisy Stimulus. ACS Synthetic Biology. 5(2). 146–153. 14 indexed citations
11.
Mather, William, et al.. (2014). A queueing approach to multi-site enzyme kinetics. Interface Focus. 4(3). 20130077–20130077. 17 indexed citations
12.
Mather, William, Jeff Hasty, Lev S. Tsimring, & Ruth Williams. (2013). Translational Cross Talk in Gene Networks. Biophysical Journal. 104(11). 2564–2572. 49 indexed citations
13.
Mather, William, Jeff Hasty, & Lev S. Tsimring. (2012). Fast stochastic algorithm for simulating evolutionary population dynamics. Bioinformatics. 28(9). 1230–1238. 7 indexed citations
14.
Boyer, Denis, William Mather, Octavio Mondragón-Palomino, et al.. (2011). Buckling instability in ordered bacterial colonies. Physical Biology. 8(2). 26008–26008. 54 indexed citations
15.
Mather, William, Jeff Hasty, Lev S. Tsimring, & Ruth Williams. (2011). Factorized time-dependent distributions for certain multiclass queueing networks and an application to enzymatic processing networks. Queueing Systems. 69(3-4). 313–328. 17 indexed citations
16.
Mather, William, et al.. (2010). Correlation Resonance Generated by Coupled Enzymatic Processing. Biophysical Journal. 99(10). 3172–3181. 43 indexed citations
17.
Mather, William, Octavio Mondragón-Palomino, Tal Danino, Jeff Hasty, & Lev S. Tsimring. (2010). Streaming Instability in Growing Cell Populations. Physical Review Letters. 104(20). 208101–208101. 55 indexed citations
18.
Mather, William, Matthew R. Bennett, Jeff Hasty, & Lev S. Tsimring. (2009). Delay-Induced Degrade-and-Fire Oscillations in Small Genetic Circuits. Physical Review Letters. 102(6). 68105–68105. 116 indexed citations
19.
Stricker, Jesse, Scott Cookson, Matthew R. Bennett, et al.. (2008). A fast, robust and tunable synthetic gene oscillator. Nature. 456(7221). 516–519. 818 indexed citations breakdown →
20.
Mather, William & Ronald F. Fox. (2006). Kinesin’s Biased Stepping Mechanism: Amplification of Neck Linker Zippering. Biophysical Journal. 91(7). 2416–2426. 25 indexed citations

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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