Kyle E. Watters

1.8k total citations
19 papers, 1.3k citations indexed

About

Kyle E. Watters is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Business and International Management. According to data from OpenAlex, Kyle E. Watters has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Business and International Management. Recurrent topics in Kyle E. Watters's work include RNA and protein synthesis mechanisms (13 papers), CRISPR and Genetic Engineering (8 papers) and RNA modifications and cancer (7 papers). Kyle E. Watters is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), CRISPR and Genetic Engineering (8 papers) and RNA modifications and cancer (7 papers). Kyle E. Watters collaborates with scholars based in United States, United Kingdom and Pakistan. Kyle E. Watters's co-authors include Julius B. Lucks, Jennifer A. Doudna, Eric J. Strobel, David Loughrey, Christof Fellmann, Melissa K. Takahashi, Alexander Settle, James Chappell, Angela M Yu and John T. Lis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kyle E. Watters

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle E. Watters United States 16 1.2k 208 144 84 80 19 1.3k
Hongtu Zhao China 11 760 0.6× 141 0.7× 125 0.9× 75 0.9× 38 0.5× 13 838
Patrick Pausch Germany 16 1.3k 1.0× 256 1.2× 166 1.2× 136 1.6× 127 1.6× 21 1.4k
Jonathan Strecker United States 14 1.4k 1.2× 292 1.4× 105 0.7× 77 0.9× 119 1.5× 18 1.6k
Christian Berk Switzerland 10 650 0.5× 144 0.7× 79 0.5× 57 0.7× 44 0.6× 11 707
Giuseppe Cannone United Kingdom 9 628 0.5× 134 0.6× 79 0.5× 58 0.7× 40 0.5× 15 686
Matias Kaplan United States 6 1.9k 1.6× 298 1.4× 42 0.3× 171 2.0× 214 2.7× 7 2.0k
Iana Fedorova United States 10 1.4k 1.1× 206 1.0× 72 0.5× 150 1.8× 170 2.1× 11 1.4k
Sakharam Waghmare United Kingdom 14 1.2k 1.0× 238 1.1× 175 1.2× 174 2.1× 104 1.3× 17 1.4k
Hisato Hirano Japan 9 1.2k 1.0× 179 0.9× 34 0.2× 114 1.4× 183 2.3× 14 1.3k
Jurate Bitinaite United States 16 1.2k 1.0× 358 1.7× 99 0.7× 19 0.2× 28 0.3× 27 1.3k

Countries citing papers authored by Kyle E. Watters

Since Specialization
Citations

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

Fields of papers citing papers by Kyle E. Watters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle E. Watters. 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 Kyle E. Watters. The network helps show where Kyle E. Watters may publish in the future.

Co-authorship network of co-authors of Kyle E. Watters

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

All Works

19 of 19 papers shown
1.
Watters, Kyle E., et al.. (2021). The CRISPR revolution and its potential impact on global health security. Pathogens and Global Health. 115(2). 80–92. 10 indexed citations
2.
Watters, Kyle E., et al.. (2020). Potent CRISPR-Cas9 inhibitors from Staphylococcus genomes. Proceedings of the National Academy of Sciences. 117(12). 6531–6539. 54 indexed citations
3.
Asif, Amina, Kyle E. Watters, Anthony T. Iavarone, et al.. (2020). Machine learning predicts new anti-CRISPR proteins. Nucleic Acids Research. 48(9). 4698–4708. 75 indexed citations
4.
Knott, Gavin J., Brittney W. Thornton, Marco Lobba, et al.. (2019). Broad-spectrum enzymatic inhibition of CRISPR-Cas12a. Nature Structural & Molecular Biology. 26(4). 315–321. 97 indexed citations
5.
Lucas, James E., Kyle E. Watters, Christof Fellmann, et al.. (2019). Controlling CRISPR-Cas9 with ligand-activated and ligand-deactivated sgRNAs. Nature Communications. 10(1). 2127–2127. 147 indexed citations
6.
Watters, Kyle E., et al.. (2018). Systematic discovery of natural CRISPR-Cas12a inhibitors. Science. 362(6411). 236–239. 148 indexed citations
7.
Watters, Kyle E.. (2018). The CRISPR Revolution: Potential Impacts on Global Health Security. 3 indexed citations
8.
Strobel, Eric J., Kyle E. Watters, Yuri A. Nedialkov, Irina Artsimovitch, & Julius B. Lucks. (2017). Distributed biotin–streptavidin transcription roadblocks for mapping cotranscriptional RNA folding. Nucleic Acids Research. 45(12). e109–e109. 30 indexed citations
9.
Watters, Kyle E., Krishna Choudhary, Sharon Aviran, et al.. (2017). Probing of RNA structures in a positive sense RNA virus reveals selection pressures for structural elements. Nucleic Acids Research. 46(5). 2573–2584. 23 indexed citations
10.
Strobel, Eric J., Kyle E. Watters, David Loughrey, & Julius B. Lucks. (2016). RNA systems biology: uniting functional discoveries and structural tools to understand global roles of RNAs. Current Opinion in Biotechnology. 39. 182–191. 45 indexed citations
11.
Watters, Kyle E., Eric J. Strobel, Angela M Yu, John T. Lis, & Julius B. Lucks. (2016). Cotranscriptional folding of a riboswitch at nucleotide resolution. Nature Structural & Molecular Biology. 23(12). 1124–1131. 134 indexed citations
12.
Takahashi, Melissa K., Kyle E. Watters, Paul M. Gasper, et al.. (2016). Using in-cell SHAPE-Seq and simulations to probe structure–function design principles of RNA transcriptional regulators. RNA. 22(6). 920–933. 29 indexed citations
13.
Watters, Kyle E. & Julius B. Lucks. (2016). Mapping RNA Structure In Vitro with SHAPE Chemistry and Next-Generation Sequencing (SHAPE-Seq). Methods in molecular biology. 1490. 135–162. 15 indexed citations
14.
Watters, Kyle E., Aimin Yu, Eric J. Strobel, Alexander Settle, & Julius B. Lucks. (2016). Characterizing RNA structures in vitro and in vivo with selective 2′-hydroxyl acylation analyzed by primer extension sequencing (SHAPE-Seq). Methods. 103. 34–48. 58 indexed citations
15.
Watters, Kyle E., Timothy R. Abbott, & Julius B. Lucks. (2015). Simultaneous characterization of cellular RNA structure and function with in-cell SHAPE-Seq. Nucleic Acids Research. 44(2). e12–e12. 64 indexed citations
16.
Chappell, James, Kyle E. Watters, Melissa K. Takahashi, & Julius B. Lucks. (2015). A renaissance in RNA synthetic biology: new mechanisms, applications and tools for the future. Current Opinion in Chemical Biology. 28. 47–56. 116 indexed citations
17.
Loughrey, David, Kyle E. Watters, Alexander Settle, & Julius B. Lucks. (2014). SHAPE-Seq 2.0: systematic optimization and extension of high-throughput chemical probing of RNA secondary structure with next generation sequencing. Nucleic Acids Research. 42(21). e165–e165. 110 indexed citations
18.
Chappell, James, et al.. (2013). The centrality of RNA for engineering gene expression. Biotechnology Journal. 8(12). 1379–1395. 62 indexed citations
19.

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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