Brynne C. Stanton

1.2k total citations · 1 hit paper
8 papers, 856 citations indexed

About

Brynne C. Stanton is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Brynne C. Stanton has authored 8 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Brynne C. Stanton's work include Fungal Infections and Studies (4 papers), Gene Regulatory Network Analysis (4 papers) and CRISPR and Genetic Engineering (3 papers). Brynne C. Stanton is often cited by papers focused on Fungal Infections and Studies (4 papers), Gene Regulatory Network Analysis (4 papers) and CRISPR and Genetic Engineering (3 papers). Brynne C. Stanton collaborates with scholars based in United States. Brynne C. Stanton's co-authors include Christopher A. Voigt, Alvin Tamsir, Chunbo Lou, Tae Seok Moon, Kevin Clancy, Alec A. K. Nielsen, Todd C. Peterson, Christina M. Hull, Jonathan D. Chesnut and Amar Ghodasara and has published in prestigious journals such as Nature, Nature Biotechnology and Molecular Microbiology.

In The Last Decade

Brynne C. Stanton

8 papers receiving 845 citations

Hit Papers

Genetic programs constructed from layered logic gates in ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brynne C. Stanton United States 7 762 180 132 74 36 8 856
Robert Sidney Cox United States 9 1.1k 1.4× 357 2.0× 236 1.8× 55 0.7× 38 1.1× 14 1.2k
Dennis M. Mishler United States 10 643 0.8× 139 0.8× 45 0.3× 39 0.5× 23 0.6× 13 759
Nathan D. Lord United States 8 603 0.8× 281 1.6× 101 0.8× 58 0.8× 42 1.2× 11 754
Thomas H. Segall-Shapiro United States 13 1.1k 1.5× 352 2.0× 143 1.1× 59 0.8× 25 0.7× 17 1.2k
Benjamin VanderSluis United States 13 593 0.8× 134 0.7× 53 0.4× 87 1.2× 22 0.6× 16 769
Brian P. Landry United States 9 492 0.6× 108 0.6× 77 0.6× 124 1.7× 124 3.4× 9 621
Shai Kaplan Israel 13 617 0.8× 212 1.2× 43 0.3× 33 0.4× 69 1.9× 15 723
Nuno Carinhas Portugal 17 707 0.9× 147 0.8× 101 0.8× 23 0.3× 17 0.5× 21 826
Adam J. Riesselman United States 10 919 1.2× 208 1.2× 35 0.3× 76 1.0× 13 0.4× 12 1.0k
Andrew H. Ng United States 11 690 0.9× 120 0.7× 74 0.6× 34 0.5× 34 0.9× 14 767

Countries citing papers authored by Brynne C. Stanton

Since Specialization
Citations

This map shows the geographic impact of Brynne C. Stanton'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 Brynne C. Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brynne C. Stanton more than expected).

Fields of papers citing papers by Brynne C. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brynne C. Stanton. 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 Brynne C. Stanton. The network helps show where Brynne C. Stanton may publish in the future.

Co-authorship network of co-authors of Brynne C. Stanton

This figure shows the co-authorship network connecting the top 25 collaborators of Brynne C. Stanton. A scholar is included among the top collaborators of Brynne C. Stanton 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 Brynne C. Stanton. Brynne C. Stanton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Stanton, Brynne C., Velia Siciliano, Amar Ghodasara, et al.. (2014). Systematic Transfer of Prokaryotic Sensors and Circuits to Mammalian Cells. ACS Synthetic Biology. 3(12). 880–891. 65 indexed citations
2.
Mead, Matthew E., et al.. (2014). Targets of the Sex Inducer homeodomain proteins are required for fungal development and virulence in Cryptococcus neoformans. Molecular Microbiology. 95(5). 804–818. 14 indexed citations
3.
Stanton, Brynne C., Alec A. K. Nielsen, Alvin Tamsir, et al.. (2013). Genomic mining of prokaryotic repressors for orthogonal logic gates. Nature Chemical Biology. 10(2). 99–105. 286 indexed citations
4.
Moon, Tae Seok, Chunbo Lou, Alvin Tamsir, Brynne C. Stanton, & Christopher A. Voigt. (2012). Genetic programs constructed from layered logic gates in single cells. Nature. 491(7423). 249–253. 433 indexed citations breakdown →
5.
Lou, Chunbo, Brynne C. Stanton, Ying-Ja Chen, Brian Munsky, & Christopher A. Voigt. (2012). Ribozyme-based insulator parts buffer synthetic circuits from genetic context. Nature Biotechnology. 30(11). 1137–1142. 5 indexed citations
6.
Stanton, Brynne C., et al.. (2010). Allelic Exchange of Pheromones and Their Receptors Reprograms Sexual Identity in Cryptococcus neoformans. PLoS Genetics. 6(2). e1000860–e1000860. 22 indexed citations
7.
Stanton, Brynne C., et al.. (2009). Cognate Site Identifier analysis reveals novel binding properties of the Sex Inducer homeodomain proteins of Cryptococcus neoformans. Molecular Microbiology. 72(6). 1334–1347. 11 indexed citations
8.
Ekena, Joanne, et al.. (2007). Sexual Development in Cryptococcus neoformans Requires CLP1 , a Target of the Homeodomain Transcription Factors Sxi1α and Sxi2 a. Eukaryotic Cell. 7(1). 49–57. 20 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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