Lauren R. Polstein

2.4k total citations · 2 hit papers
7 papers, 1.9k citations indexed

About

Lauren R. Polstein is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lauren R. Polstein has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lauren R. Polstein's work include Light effects on plants (5 papers), CRISPR and Genetic Engineering (4 papers) and Photoreceptor and optogenetics research (3 papers). Lauren R. Polstein is often cited by papers focused on Light effects on plants (5 papers), CRISPR and Genetic Engineering (4 papers) and Photoreceptor and optogenetics research (3 papers). Lauren R. Polstein collaborates with scholars based in United States, Finland and Saudi Arabia. Lauren R. Polstein's co-authors include Charles A. Gersbach, Christopher M. Vockley, Gregory E. Crawford, D. Dewran Koçak, Pablo Pérez‐Piñera, Timothy E. Reddy, Ami M. Kabadi, Katherine A. Glass, David G. Ousterout and Pratiksha I. Thakore and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Methods.

In The Last Decade

Lauren R. Polstein

7 papers receiving 1.9k citations

Hit Papers

RNA-guided gene activation by CRISPR-Cas9–based transcrip... 2013 2026 2017 2021 2013 2015 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren R. Polstein United States 7 1.7k 302 278 268 141 7 1.9k
Yuta Nihongaki United States 12 1.2k 0.7× 239 0.8× 129 0.5× 305 1.1× 92 0.7× 18 1.4k
Dominik Niopek Germany 15 944 0.6× 249 0.8× 192 0.7× 304 1.1× 38 0.3× 29 1.1k
Fuun Kawano Japan 11 1.1k 0.7× 446 1.5× 116 0.4× 582 2.2× 73 0.5× 12 1.4k
Dmitry Ter‐Ovanesyan United States 12 3.2k 1.9× 159 0.5× 301 1.1× 68 0.3× 184 1.3× 18 3.4k
Johnny H. Hu United States 9 2.9k 1.7× 226 0.7× 660 2.4× 73 0.3× 164 1.2× 9 3.1k
H. Steve Zhang United States 4 1.7k 1.0× 229 0.8× 542 1.9× 141 0.5× 76 0.5× 6 1.9k
Eswar Prasad R. Iyer United States 12 1.4k 0.8× 135 0.4× 219 0.8× 230 0.9× 137 1.0× 19 1.7k
Natalia Gomez‐Ospina United States 18 1.9k 1.1× 219 0.7× 587 2.1× 192 0.7× 92 0.7× 27 2.3k
Marcelle Tuttle United States 6 2.1k 1.2× 161 0.5× 358 1.3× 64 0.2× 209 1.5× 13 2.2k
Antonia A. Dominguez United States 12 1.3k 0.8× 118 0.4× 259 0.9× 60 0.2× 83 0.6× 16 1.5k

Countries citing papers authored by Lauren R. Polstein

Since Specialization
Citations

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

Fields of papers citing papers by Lauren R. Polstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren R. Polstein. 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 Lauren R. Polstein. The network helps show where Lauren R. Polstein may publish in the future.

Co-authorship network of co-authors of Lauren R. Polstein

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

All Works

7 of 7 papers shown
1.
Pathak, Gopal P., et al.. (2017). Bidirectional approaches for optogenetic regulation of gene expression in mammalian cells using Arabidopsis cryptochrome 2. Nucleic Acids Research. 45(20). e167–e167. 55 indexed citations
2.
Polstein, Lauren R., Mark Juhas, Gabi Hanna, Nenad Bursac, & Charles A. Gersbach. (2017). An Engineered Optogenetic Switch for Spatiotemporal Control of Gene Expression, Cell Differentiation, and Tissue Morphogenesis. ACS Synthetic Biology. 6(11). 2003–2013. 31 indexed citations
3.
Polstein, Lauren R., Pablo Pérez‐Piñera, D. Dewran Koçak, et al.. (2015). Genome-wide specificity of DNA binding, gene regulation, and chromatin remodeling by TALE- and CRISPR/Cas9-based transcriptional activators. Genome Research. 25(8). 1158–1169. 105 indexed citations
4.
Polstein, Lauren R. & Charles A. Gersbach. (2015). A light-inducible CRISPR-Cas9 system for control of endogenous gene activation. Nature Chemical Biology. 11(3). 198–200. 505 indexed citations breakdown →
5.
Polstein, Lauren R. & Charles A. Gersbach. (2014). Light-Inducible Gene Regulation with Engineered Zinc Finger Proteins. Methods in molecular biology. 1148. 89–107. 17 indexed citations
6.
Pérez‐Piñera, Pablo, D. Dewran Koçak, Christopher M. Vockley, et al.. (2013). RNA-guided gene activation by CRISPR-Cas9–based transcription factors. Nature Methods. 10(10). 973–976. 1005 indexed citations breakdown →
7.
Polstein, Lauren R. & Charles A. Gersbach. (2012). Light-Inducible Spatiotemporal Control of Gene Activation by Customizable Zinc Finger Transcription Factors. Journal of the American Chemical Society. 134(40). 16480–16483. 161 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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